DEV Community: Sai Ashish

My Journey to Becoming a Google Developer Student Clubs Lead

Sai Ashish — Tue, 28 Dec 2021 09:08:58 +0000

Hello everyone, it's Sai Ashish Konchada back after a hiatus for good. The past few months have been a rollercoaster ride, a wave of happy hormones with nervous adventures. It gives me immense pleasure to announce that I've been selected as the first-ever Google Developer Student Clubs Lead at my college. In this post, we will be looking into the journey from the application to the selection.

Table of Content:

1. What is Google Developer Student Clubs?

2. What are the roles and responsibilities of a lead?
i. Starting/Growing a club
ii. Host Workshops
ii. Build projects

3. How can I apply to become a Google Developer Student Club Lead at my campus?

4. The Google Developer Student Clubs Lead Application Form 2021

5. Timeline for GDSC Selection 2021 and the Interview Experience

1. What is Google Developer Student Clubs?

As per the official website, Google Developer Student Clubs are university-based community groups for students interested in Google developer technologies. Students from all undergraduate or graduate programs with an interest in growing as a developer are welcome. By joining a GDSC, students grow their knowledge in a peer-to-peer learning environment and build solutions for local businesses and their community.

Google Developer Student Clubs(GDSC) are like your college/ university clubs, powered by Google Developers. Every year, Google selects leads from across the globe who align with the vision of GDSC and want to empower their community. This year, there are around 352 leads selected across India. There are many first-time leads, as well as leads who continue the legacy initiated by the founder/former lead. It is not necessary if your college has an existing GDSC, then a lead will definitely be selected from your campus for the following year.

Who can become a Google Developer Student Club Lead?

As per the official website, these are the eligibility criteria to become a lead.

Have a minimum of one year left until graduation
Enrolled in an undergraduate or graduate program at a college or university
Can commit to the program for one year
Passionate about creating impact in the community
Strong technical understanding of computer programming and/or software engineering
Have experience with event planning or leading a team
Have some connection to the local developer community
Host an event ideally once a month, and at least every 3 months

2. What are the roles and responsibilities of a lead?

The 3 basic responsibilities of a lead include:

i. Starting/Growing a club

If you're the first-ever lead of a GDSC, you found and set up the club. For this, you might have to talk to your respective Teacher Incharge of such programs at your college, taking permission from the respective Head of Department and Principal for the same. This varies from college to college, so get in touch with a senior or teacher for the same. Being the Technical Head of my college I already was in touch with my respective HOD and Technical Incharge. I wrote a letter to them, explaining about GDSC, its benefits, the impact it creates, and permission for the same.

Once you get the approval, you have to find a Faculty Incharge and form your Core Team. Find a faculty in charge, who actively takes the initiative for promoting such activities in your college, manages any scheduling conflicts, and provides insights about the events you conduct, suggests improvements.

Forming the core team depends on you. You have the complete freedom to choose the number of members in your team, the hierarchy, and the domains you want to have. It is recommended to have 5 people in your core team as at the end of the year, Google sends 5 members(apart from the lead) the Graduation kit consisting of goodies. However, as mentioned earlier you can have more than 5 people and choose the top 5 people working diligently towards the club activities.

There are 2 widely followed approaches in forming the core team. The first one is the Interview process. You create an announcement, people apply for the respective roles, you shortlist, conduct interviews, and choose members. The other one is that if you already know the people in your college and see people fit for the role, you choose them. My suggestion is to choose people who possess not only strong technical knowledge but also the ability to deliver sessions, connect with people, solve their individual doubts, give creative ideas for the growth of the clubs. You can choose to add a set of Behavioral questions to test this aspect.

If you're the lead of an already existing GDSC, get in touch with your former lead, understand their vision, the events they've conducted, how they organized and dealt with various situations, how they can collaborate with existing GDSCs and other organizations, how to approach speakers and sponsorships for events, etc. Your lead is the best person you can find to elaborate in-depth about the program.

ii. Host Workshops

After forming the core team, you can kickstart your journey with the Orientation session. You'd be provided with a timeline of events conducted by Google. You can choose to conduct those events as well as events of your own. I'll be writing a separate blog on how to create, promote and conduct your GDSC events once you become a lead. This is one of the workshops we conducted, where we introduced students to open source, how to contribute to it, and get started with Github. You can find the recording of the workshop here.

iii. Build projects

In addition to hosting events and conducting hackathons, an integral part is the hands-on experience. GDSCs across the globe are known for creating impact among society. A GDSC should identify problems in their university or local community which could be solved via technology. One example to solving a university problem could be to build an online proctoring software, or automatic attendance system, or automation of daily tasks custom-built according to the needs of the university. Apart from these, GDSCs can host demo days, where they display the projects built by the teams of their club and also participate in the annual solution challenge. Read in-depth about this amazing global challenge here.

3. How can I apply to become a Google Developer Student Club Lead at my campus?

Applications to apply for becoming a lead, opens once every year depending on the region you belong from. You can view the timeline and apply to become a lead here.

4. The Google Developer Student Clubs Lead Application Form 2021

When you apply to become a lead, it redirects you to Advocu where you fill out your application to become a lead. You've to fill out your basic details, share links to your work and account on Facebook, Github, LinkedIn, Medium, Qwiklabs, Stack Overflow, Twitter, Portfolio, and website link(if any). I strongly recommend you to build a strong profile on these platforms and be actively engaging, sharing your knowledge with the community.

Then comes the 3 major questions:

What is your motivation to run a Google Developer Student Club at your College?

What is your experience in leading a project or a team

What technology do you find most interesting and why? What is your experience with this technology?

My Tips:

Please tailor these questions according to your skills, experience, and expertise
Don't take model answers or points from other applicants
Be real
Be unique
Always proofread and use a Grammar tool, such as Grammarly
Have keywords in your answers. If technology is asked, mention all the names of technologies you have working knowledge on
Be active in leading clubs/communities from the very beginning. Experience proves your leadership, communication, and community building skills rather than plainly stating it
Mention statistics where necessary. Example: In the Technical Carnival conducted in our college last year, we had a total of 600 active participants.
As mentioned earlier, have a strong online presence and community contribution

Apart from this, you've to record a 90-second video and show us why you are the right person to be a GDSC Leader at your College

Choose the best points and practice beforehand. You don't need to have a professional mic, camera, or edit videos in order to get selected. Make sure you are perfectly audible and visible. You can also choose to display your points in a presentation but make sure you are visible in the video.

5. Timeline for GDSC Selection 2021 and the Interview Experience

I had applied to become a GDSC Lead on 20th April 2021, the deadline being 11th May, 2021. After applying, you get a mail with the subject, Thank you for applying [Developer Student Clubs Application Process - Sai Ashish Konchada]

If you get shortlisted among the application process, you get an email with the title, Next Steps [DSC Application Process - Sai Ashish Konchada]

I scheduled an interview call for May 18th. The interview lasted for 15 minutes. The interviewer was very friendly and created a friendly atmosphere by mentioning to treat it as a discussion rather than an interview. To the best of my memory, a few of the questions were to talk about myself, the GDSC program, my previous community experiences, my plans for GDSC. If any lead is reading this, I urge them to share their interview experience too.

On July 15, I received an email - [Google Developer Student Clubs] Congratulations!

And I got selected as the Google Developer Student Clubs Lead for my campus! As per the instructions, I acknowledged my confirmation and began laying the foundation of GDSC SLRTCE.

And that's a wrap! I hope this blog post finds an aspiring lead, answers his/her doubts, and gains insights about the Google Developer Student Clubs Program. If you've any queries, drop them down in the comment section below and I'll try to answer it as soon as I can. Until the next one, cheers to learning 🥂

Did you know you can join our club too?

Become a member of GDSC SLRTCE
Follow us on Instagram
Connect with us on LinkedIn
Find the recordings to our sessions on Youtube
Join our Discord server for regular updates

25 YouTube Channels to Learn Web Development for Free

Sai Ashish — Mon, 31 May 2021 11:10:49 +0000

Web Development is one of the highest-paying careers today. According to the U.S. Bureau of Labor Statistics, web development provided employment to 174,300 developers in the US alone. Going forward, the industry is expected to grow 8% from 2019 to 2029, faster than most other occupations. With such increasing demand, peers are always in the search for valuable resources which don't burn a hole in their pocket. Keeping that in mind, I've compiled a list of 25 Awesome YouTube Channels to Learn Web Development for free!

1. Clever Programmer

One of my favorite channels, Clever Programmer, founded by Rafeh Qazi offers one of the best courses on Web Development. From actionable insights to website clones and earning a 6 figure salary as a developer, this channel covers it all. Clever Programmer currently has over 956k subscribers with over 39 million views already. I definitely suggest you visit this channel once if you haven't already.

2. Sonny Sangha

Sonny Sangha aka Papa React is one of the best mentors you could ask for. From being in the team of Clever Programmer and building a personal brand, Sonny has come a long time. Sonny builds amazing clones of websites such as Amazon, LinkedIn, Netlfix, live step by step. Sonny has recently started his own Youtube channel which has gained over 1 million views and 46k subscribers already.

3. Akshay Saini

Akshay Saini's course Namaste Javascript is one of the best in-depth, conceptual, simple, and effective tutorials you'd ever find. I've personally seen students thanking Akshay for his amazing explanation which has improved their skills by bounds. Akshay currently has 94k subscribers with 3 million views on his Youtube channel.

4. The New Boston

The New Boston is one of the biggest channels providing tons of free content on a plethora of topics. It has playlists for React, Angular, Node.js, ES6, Redux, Django, and more. The New Boston currently has 2.55 million subscribers and a whopping 479 million views!

5. Traversy Media

Traversy Media needs no introduction. As the about section reads, "Traversy Media features the best online web development and programming tutorials for all of the latest web technologies including Node.js, Angular 2, React.js, PHP, Rails, HTML, CSS and much more." Traversy Media currently has 1.53 million subscribers and 138 million views.

6. Code with Harry

The saviour of Indian students, Haris Khan at his channel, Code with Harry teaches coding techniques to people in a short time which took him ages to learn. Harry has a Web Development Playlist consisting of over 100 videos that teach you web development from the basics to making an end to end responsive website. Code with Harry has 1.39 million subscribers and over 111 million views.

7. Web Dev Simplified

I'll let the description of Web Dev Simplified do the talking. Web Dev Simplified is all about teaching web development skills and techniques in an efficient and practical manner. If you are just getting started in web development Web Dev Simplified has all the tools you need to learn the newest and most popular technologies to convert you from a no stack to a full stack developer. Web Dev Simplified also deep dives into advanced topics using the latest best practices for you seasoned web developers. This channel has 549k subscribers and 28 million views at the moment.

8. The Net Ninja

The Net Ninja has over 1k tutorials on topics such as Modern JavaScript (beginner to advanced), Node.js, React, Vue.js, Firebase, MongoDB, HTML & CSS, PHP & MySQL, Laravel, React Native, and Flutter. It is one of the channels that gain viewers by word of mouth communication. The Net Ninja has 717k subscribers and 83 million views overall.

9. Coder Coder

Jessica at Coder Coder, provides incredible practical tips on Web Development. She has a limited number of videos on her channel but has garnered 170k subscribers and 3 million views on her channel. Surely one to look for.

10. Corey Schafer

Corey Schafer is another guy who needs no introduction. You'll gain a ton of knowledge on Python, Git, Development Environments, Terminal Commands, SQL, Programming Terms, JavaScript, Computer Science Fundamentals among others. Corey has 776k subscribers and 57 million views on his channel right now.

11. Wes Bos

Wes Bos, famously known for his Javascript 30 challenge, is one of the YouTubers you should definitely look out for. At the Javascript 30 challenge, you learn to build 30 Javascript projects using vanilla Javascript. Wes Bos has an amazing 131k subscribers and 6 million views on his channel.

12. Tanay Pratap

Tanay Pratap, a Microsoft engineer shares his knowledge on Web Development on his YouTube channel. He has amazing long tutorials on HTML, CSS, JS, Git, Hosting, and more. Tanay has over 23k subscribers and half a million views on his channel.

13. Derek Banas

Derek Banas has tutorials on a wide range of topics including HTML, CSS, PHP, JS, AJAX, Git, Web Services, Django, and more. Derek Banas is currently making videos on Data Science and Machine Learning. His channel holds 1.12 subscribers and 107 million views in total.

14. Jonas Schmedtmann

Jonas Schmedtmann might not have many videos but does provide a mini-course and an overview of what you'll learn in Web Development. If you just want to spend a day, getting started with Web Dev, try Jonas. Jonas currently holds 24.9k subscribers and 1 lakh views on his channel.

15. Academind

Max & Manuel at Academind creates courses and tutorials that teach you everything related to web development. No matter if it's programming languages like JavaScript, runtimes like NodeJS, or popular frameworks like ReactJS, Angular, or VueJS. They got you covered. Academind currently has 675k subscribers and 52 million plays already.

16. Hitesh Choudhary

Hitesh Choudhary is a guy who creates content every single week, He covers a wide range of subjects like programming, new frameworks, open-source products, and more. He personally has a keen interest in topics like Javascript, Python, PHP, and Machine Learning. He also offers a MERN full stack development course for under 3$(₹ 199) Hitesh has over 633k subscribers and 37 million views on his channel.

17. Adam Khoury

Adam Khoury at his channel helps to master technologies like JavaScript, PHP, SQL, HTML, CSS, ActionScript, and more. His videos are concise, conceptual, and effective. Adam currently has 197k subscribers to his channel and more than 32 million views overall.

18. Code Course

If you're someone who's a fan of PHP and Lavarel, Code Course is the channel for you. Code Course covers numerous concepts related to PHP, Lavarel, APIs, and more. It currently has 340k subscribers and more than 33 million views in total.

19. LevelUpTuts

Scott Tolinski at his channel(formerly along with Ben Schaaf), LevelUpTuts provide high-quality content on Web Development. Their tutorials are aimed to be accessible and easy to follow while maintaining high production values. LevelUpTuts has 335k subscribers and 32 million views on its channel to date.

20. CS50

CS50 is Harvard University's introduction to the intellectual enterprises of computer science and the art of programming. It offers a free course on Web Programming with Python and Javascript where it covers where they cover concepts like Git, Flash, SQL, ORM, API, Javascript, Django, Scalability, and Security of websites. I highly recommend taking this course if you're a beginner and want to start the journey of web development with an excellent foundation. CS50 has 690k subscribers to its channel with 43 million views.

21. Quentin Watt Tutorials

Quentin Watt teaches technologies like JavaScript, PHP using popular frameworks like Vue.js and Laravel. With over a decade of experience to share he makes short video tutorials aimed at equipping an individual skill needed to develop their career. Quentin currently holds 162k subscribers and 19 million views on his channel.

22. DevTips

DevTips has weekly discussions and tutorials on various technologies such as CSS, Bootstrap, React, Docker, etc. The tutorials are fun and easy to follow, two factors I definitely look for in a great resource. DevTips has 356k subscribers and 16 million views on the channel.

23. LearnWebCode

Brad, at LearnWebCode has insightful tutorials on HTML, CSS, MongoDB, API, JSON, Bootstrap, and more. With 288k subscribers and 20 million views, LearnWebCode is a channel that gives a quick overview of and helps understand concepts quickly. LearnWebCode currently has 288k subscribers and 19 million views on the channel.

24. Google Chrome Developers

Google Chrome Developers is a channel by Google developers, featuring some amazing content on the web and more. There are playlists on PWA, Design Learning, event recordings, and more. This is a channel you should visit to have a greater understanding of the web and upskill. Google Chrome Developers has 584k subscribers and 37 million views at the moment.

25. Apna College

Last but not the least, Apna College with Aman Dhattarwal with his team as the face of the channel has an amazing animated course on Web Development on Apna College. The course is taught by a guy who has cleared Googler Summer of Code being from a non-cs background. Apna College has 509k subscribers and 25 million views on the channel.

That was it for today folks. Though I have another set of great channels, these are more than enough to build your skills as a web developer. Honorable mentions to the evergreen and most famous channels such as FreeCodeCamp, Edureka, Programming with Mosh, Simplilearn, and Intellipaat who provide 6-10hr long videos on the topic covering a ton of concepts in a limited amount of time.

Which YouTube channel is your favorite? Let me know in the comment section below!

Bonus Insights by The Insightful Coder :

Interested in Building Creative Beginner-Level Python Projects🐍?: Check out the Python Projects for Beginners Series 😍
Interested in Building Your Own Artificial Intelligence Projects using Python?: Check out the Python AI Series🧠
I'm also dropping useful dev resources, interactive quizzes and Interview preparation on my Instagram Page. Make sure to follow me up 💯
Find and Download All My Project Source Codes at My Github Repository 🎁

15 YouTube Channels to Learn Data Science for Free

Sai Ashish — Tue, 20 Apr 2021 13:15:27 +0000

Data Science is termed as the sexiest job of the 21st century. According to ZipRecruiter, the entry-level salary for a Data Scientist is estimated to be $69,000 and the average salary for a mid-level data scientist to be around $89,000. With such an immense scope in the industry, the demand for Data Scientists has increased by folds. In this post, we are going to explore 15 Youtube Channels where you can get started and learn Data Science for free.

1. Freecodecamp

FreeCodeCamp doesn't need any introduction. It is my go-to channel to get knowledge on any computer science concept. FreeCodeCamp's Data Scientist Playlist has videos on Data Science, Data Visualisation, Data Analysis and more.

2. Data Science Dojo

Data Science Dojo is an amazing channel with over 3M+ views on their videos and 70.3k subscribers. They host a 5-day Data Science Bootcamp around the world which has been attended by 4,000+ professionals from over 1,500+ companies globally. You can check their schedule for 2021 here. Data Science Dojo is one of the channels that post videos on Data Science tutorials on both R and Python programming language. You can explore their playlists by clicking here.

3. 365 Data Science

With 6 Million+ views and 172k subscribers on their channel, 365 Data Science contains videos on Basics of Probability, Probability Distribution, Roadmaps for various positions in Data Science, and everything in between. They also offer courses on Python, Data Preprocessing, SQL, Data Visualisation, Deep learning and more on their website at 365datascience.com

4. StatQuest with Josh Starmer

This resource is a goldmine for people wanting to learn statistics and machine learning. StatQuest breaks down complicated Statistics and Machine Learning methods into small, bite-sized pieces that are easy to understand. StatQuest doesn't dumb down the material, instead, it builds you up so that you are smarter and have a better understanding of Statistics and Machine Learning.

This channel has whooping 22M+ views and 466k+ subscribers. You can access StatQuests's playlists from here.

5. Alex The Analyst

For people who want to specifically focus on the Data Analysis side of Data Science, Alex is your guy. His show Alex the Analyst Show is one of my favourite resources on the internet. For people who want real-life advice rather than tutorials, do check him out.

6. Ken Jee

Ken Jee has been working in the data science field doing sports analytics for the last 5 years. He has held data science positions in companies ranging from startups to fortune 100 organizations. His youtube channel has over 3M+ views and 132k subscribers. He has some amazing playlist on Data Science Jobs, Data Science Fundamentals and Data Science Projects and more.

7. DataCamp

DataCamp's youtube channel has over 14M+ views and 112k subscribers. DataCamp has educated 6 million people around the world through their courses at DataCamp.com. They've playlist for R Tutorials for DataScience and Python for Data Science. For a review of its courses, I'd recommend Alex's video on DataCamp.

8. Data Professor

Chanin Nantasenamat aka Data Professor is a Professor of Bioinformatics at a Research University where he leads a research laboratory that harnesses data science for unravelling the hidden knowledge of big data in medicine. Chanin has more than 15 years of experience in data science and has published more than 100 research articles, review articles and book chapters.

His playlists — Data Science 101, Data Science Toolbox, Python Data Science projects and R Data Science projects are just phenomenal.

9. 3Blue1Brown

3Blue1Brown has animated tutorials on concepts of Maths and Entertainment. It is a great resource to understand any mathematical concepts such as calculus, differential equations , neural networks and more.

10. Krish Naik

Krish Naik is a lead Data Scientist, pioneering in machine learning, deep learning, and computer vision, an educator, and a mentor, with over 8 years of experience in the industry. In his channel, Krish explains various topics on machine learning, deep learning, and AI with many real-world problem scenarios.

The best part about this channel is that Krish has made a video where he explains how to learn Data Science via his channel by following various playlists. It goes as Python for Machine Learning -> [Statistics in ML](https://www.youtube.com/playlist?list=PLZoTAELRMXVMhVyr3Ri9IQ-t5QPBtxzJO -> Feature Engineering -> Machine Learning ->ML Pipelines -> Deep Learning -> Projects.

11. Code Basics

Code Basics is a channel by Dhaval Patel and who has more than 15 years of experience working as a software engineer. He has over 16M views on his channel with 284k subscribers. He has a Data Science Playlist of 111 videos where he covers, Python, Jupyter Notebook, Numpy, Pandas, Matplotlib for data visualization, Machine Learning using sklearn & deep learning using tensorflow 2.0.

12. Edureka

Edureka is another platform that needs no introduction. It has 207M views on its channel with 2.55M subscribers. It has a 10-hour Data Science course where all the major concepts are covered in detail. It is suited for both beginners and professionals. You can access the 10-hour Data Science Full Course by Edureka here.

13. Intellipaat

Intellipaat is a channel with 44M+ views and 919k subscribers. It has an 11-hour course on complete data science starting from what is data science to various data science concepts, data science projects and data science interview questions & answers. It is an end to end data science full course.

14. Simplilearn

Simplilearn is a channel with 69M+ views and 983k subscribers. Similar to Edureka, it has a 10-hour course where it provides a learning path of Data Science in a correct manner. It is filled with lots of Practical Examples and is beginner-friendly. You can access the 10 Hour Data Science Course by Simplilearn here.

15. Great Learning

Great learning has a Data Science Course by Dr Abhinanda Sarkar. Dr Sarkar is the Academic Director at Great Learning for Data Science and Machine Learning Programs. He is ranked amongst the Top 3 Most Prominent Analytics & Data Science Academicians in India.

He has taught applied mathematics at the Massachusetts Institute of Technology (MIT) as well as been visiting faculty at Stanford and ISI and continues to teach at the Indian Institute of Management (IIM-Bangalore) and the Indian Institute of Science (IISc). You can also get a free certificate from Great Learning for Data Science by visiting here.

I hope this article was useful for you. Mastering Data Science requires a lot of hard work, patience and knowledge. If you're just in for the money it offers, you can opt for becoming a software engineer too. It pays the same and some times even more. With that said, Data Science holds a lot of potentials and is already changing the way we look at business.

My articles are fueled by coffees. If you find my content valuable and want to support my efforts, consider buying me one!

Bonus Insights by The Insightful Coder :

Interested in Building Creative Beginner-Level Python Projects🐍?: Check out the Python Projects for Beginners Series 😍
Interested in Building Your Own Artificial Intelligence Projects using Python?: Check out the Python AI Series🧠
I'm also dropping useful dev resources, interactive quizzes and Interview preparation on my Instagram Page. Make sure to follow me up 💯
Find and Download All My Project Source Codes at My Github Repository 🎁

5 More Python Projects That Can Be Built in Under 5 Minutes

Sai Ashish — Fri, 16 Apr 2021 13:23:07 +0000

While learning a new programing language, people tend to be confused about which project to start with. Or they're often excited to start building some cool projects but realise that they spent weeks learning concepts but have no hands-on experience Continuing the success of my previous article with the same title, I present to you— 5 More Python Projects That Can Be Built in Under 5 Minutes.

What Are We Going to Build?

1. IP address fetcher
2. BMI Calculator
3. Map Generator from Location 
4. Zip and Unzip Files
5. Text Translator

What Are We Going to Learn Today?

1. How to effectively use modules in our python programs
2. Basics of Python: Functions

Project 1: IP Address Fetcher

As the name suggests, we are going to build a Python program that would fetch the name and IP address of our device.

Module Used:

For this build, we'll use the socket module. A socket acts as a node( a point of connection) is used to messages across a network. You can access the documentation of the socket module from here.

Time to Code!

The first step is to import the module into our Python environment.

import socket

We can get the hostname of our device using the gethostname() method. We'll store the result obtained in a variable called hostname.

hostname = socket.gethostname()

To get the IP address of our device, we have to pass the hostname through gethostbyname() method.

IP = socket.gethostbyname(hostname)

We've the hostname. We've the IP address. All that's left is to display it.

print("Computer Name:" + hostname)
print("IP address:"+IP)

Final Source Code for IP Address Fetcher:

Output for IP Address Fetcher:

You can directly download the source code for IP Address Fetcher from my Github Repository.

Project 2: BMI Calculator

BMI or Body mass index is a measure of body fat based on height and weight that applies to adult men and women. In this project, we are going to calculate the BMI using height in centimetres and weight in kilograms. We don't require any modules for this build.

Time to Code!

The first step is to ask the height and weight of the person as specified.

height = float(input("Enter your height in cm: "))
weight = float(input("Enter your weight in kg: "))

Calculate the BMI of the person using the formula,

BMI = height in m/ (weight in kg)²

BMI = weight / (height/100)**2

We divide the height by 100 to convert centimetres to meters and square the weight by using the exponential operator **.

We use String interpolation to display the BMI of the person. Interpolation or interpolate means insert (something of a different nature) into something else. That is inserting/replacing the value of the variables inside the statement of the string we are going to display. We use this as,

print(f"You BMI is {BMI}")

As per the chart obtained in U.S. Department of Health & Human Services, the BMI Categories are as follows:

Underweight = < 18.5

Normal weight = 18.5–24.9

Overweight = 25–29.9

Obesity = BMI of 30 or greater

We'll use conditional statements if-else to compare the above construct.

if BMI < 18.5:
    print("You are underweight.")
elif BMI <= 24.9:
    print("You are healthy.")
elif BMI <= 29.9:
    print("You are over weight.")
else
    print("You are obese.")

Final Source Code for BMI Calculator is:

Output for BMI Calculator:

You can directly download the source code for BMI Calculator from my GitHub Repository.

Project 3: Map Generator from Location

In this project, we'll generate a map from the location coordinates using Python.

Module Required:

For this build, we require the Folium module. Folium is a Python library used for visualizing geospatial data. You can access the official documentation of Folium from here. To install folium, visit your terminal and type,

pip install folium

Time to Code!

The first step is to include the module in our Python Environment. We do that using the import statement.

import folium

We accept the latitude and longitude coordinates of any place we want to visualise. I want to visualise my city, Mumbai. I enter the coordinates as,

map = folium.Map(location=[19.0760, 72.8777])

Finally, we save the build as an HTML file as.

map.save("My Location.html")

Final Source Code for Map Generator from Location:

Generated HTML Map File:

You can directly download the source code for Map Generator from Location from my GitHub Repository

Project 4: Zip & Unzip File

We often require to zip files for sharing multiple files via email or unzip files when downloading files from the internet. In this build, we'll build a program that does this task for us. You can even further modify the code to automate the process and unzip multiple files at once.

Module Used:

For this build, we'll be using the patool module of Python. According to its official documentation, various archive formats can be created, extracted, tested, listed, searched, compared and repacked by patool. The advantage of patool is its simplicity in handling archive files without having to remember a myriad of programs and options. To install Patol into your system, go to the terminal and type,

pip install patool

Time to Code!

The first step as always is to import the required libraries. You can do it as,

import patoolib

We'll define 2 functions. The first one named Zip() to zip our files and the other named Unzip() to unzip our files. To zip our files, we've to provide the paths for our files to be zipped.

Note: If you have the image in the same location as the Python file, you do not have to provide the full path. If you wish to use an image stored in other directories, copy the path with the name and extension and replace it with Test Image.png. In Windows, the path will look something like this D:\Photos\Test Image.png Add an extra '\' so that Python doesn't treat it as an escape character. The final path looks like D:\Photos\Test Image.png For Linux and MAC, you can use the path directly as it
appears on the address bar.

def Zip():
    patoolib.create_archive("file.zip",("path_to_file_1","path_to_file_2"))

def Unzip():
    patoolib.extract_archive("path_to_file_to_be_extracted",outdir="extract")

We use the create_archive method to zip the files. As per the above code, the function will zip both the files and save them as file.zip. Similarly, we use the extract_archive() function with the link to the zipped file to be extracted. We specify the function to store our files in a directory called extract.

All that's left to do is to invoke the functions as per the user's choice. We ask the user to input 1 to Zip and 2 for Unzip. We convert the value obtained to an integer using the int() function as by default, Python accepts values in string format.

if __name__ == '__main__':
    choice=(int(input(Enter 1 for Zip & 2 for Unzip)))

Using the conditional statement if-else, we invoke the respective functions.

if choice==1:
    Zip()
else:
    Unzip()

Final Source Code for Zipping & Unzipping File:

You can directly download the source code for Zipping & Unzipping File from my GitHub Repository.

Project 5: Text Translator

Last but not the least, we'll build a Text Translator. using the text translator you can translate any sentence from one language to another.

Module Used:

For this build, we use the translate module. As per its official documentation, this is a simple, yet powerful command-line translator with google translate behind it.

Time to Code!

The first step is to import the class Translator from the module translator. We do it as,

from translate import Translator

We need to specify the language we want to convert from and to in the translator function. We save the answer obtained in a variable called translator.

translator = Translator(from_lang="english", to_lang="chinese")

We pass the message to be translated into the translate function.

translation = translator.translate("Good Morning")

Finally, we display the translated message as,

print(translation)

Final Source Code for Text Translator:

Text Translator in Action:

You can directly download the source code for Map Generator from Location from my GitHub Repository.

That's it, folks! We have successfully learnt 5 short yet interesting builds that can be implemented in under 5 minutes. These builds are a very good stepping step for any beginner in Python. If you find my content valuable and want to support my efforts, consider buying me a coffee!

Bonus Insights by The Insightful Coder :

Interested in Building Your Own Artificial Intelligence Projects using Python?: Check out the Python AI Series🧠
Wanna Discover Some Valuable Tech-Hacks 🛠?: Check out the Tech-Hacks for Everybody Series😎
I'm also dropping useful dev resources, interactive quizzes and Interview preparation on my Instagram Page. Make sure to follow me up 💯
Find and Download All My Project Source Codes at My Github Repository 🎁

A Beginners Guide to Bit Manipulation

Sai Ashish — Wed, 14 Apr 2021 10:40:25 +0000

Bit Manipulation or Bit Magic as it is popularly known as is a technique where we work directly on binary data or bits which results in faster code execution. If the concept seems to be frightening, don't worry. We will bust and understand everything with examples.

In this article, we'll explore:

1. Overview of Decimal and Binary Number System
   a. Conversion of Decimal number system  -> Binary Number System 
      Conversion of Binary number system  -> Decimal Number System
   b. Addition and Subtraction of Binary numbers:
2. Bitwise operators
3. Significance of these operations
    a. General Application
    b. Swapping
    c. Even and Odd

1. Overview of Decimal and Binary Number System

The most common convention of writing numbers is the decimal number system. In this system, we write numbers in the power of 10. For example,

(375)10 = 3 x 10² + 7 x 10¹ + 5 x 10⁰

Similarly, computers are habituated to work on Binary numbers, corresponding to base 2.

(101)2 = 1 x 2² + 0 x 2¹ + 1 x 2⁰ = 5

a. Conversion of Decimal number system -> Binary Number System and vice versa

i. Decimal number system -> Binary Number System

We convert decimal to binary by division as we are going from base 10 to base 2.

(10)10 -> (?)2

The trick is to keep dividing the number by 2 and write the remainder beside it.

10/2, remainder = 0
5/2, remainder = 1
2/2, remainder = 0

You've to write the binary bits in the bottom-up order along with 1 at the front. So, the binary representation of 10 will come as 1010.

ii. Binary Number System -> Decimal number system

We convert binary to decimal using multiplication as seen above.

(1010)2 = 1 x 2³ + 0 x 2² + 1 x 2¹ + 2⁰

= 8 + 0 + 2 + 0

= 10

b . Addition and Subtraction of Binary numbers:

i. Addition

This is the truth table for addition of Binary digits.

Number 1	Number 2	Sum	Carry
0	0	0	0
0	1	1	0
1	0	1	0
1	1	0	1

If we add,

0 + 0, we get the sum as 0 with no carry.
0 + 1, we get the sum as 1 and no carry.
1 + 0, we get the sum as 1 and no carry.
1 + 1, we get the sum as 0, and the carry as 1.

Let's say we want to perform addition as 5 + 6. The computer converts 5 and 6 from the decimal number system to the binary number system.

(5)10 = (101)2
(6)10 = (110)2

Adding the binary representation according to the truth table,

The highlighted 1 represents the carry bit. Convert 1011 to decimal, we get the result as 11, that is, in fact, 5 + 6.

ii.Subtraction

Spoiler alert: There's nothing known as subtraction in the computer. The computer uses a method called 2's complement to perform subtraction using addition. So, if we want to perform 6 - 5, the computer treats it as 6 + (-5).

Step 1: Convert numbers from the decimal number system to the binary number system.

(6)10 = (110)2
(5)10 = (101)2

Step 2: Invert the bits of the number to be subtracted. (Change 0 to 1 and 1 to 0)

(5)10 = (101)2 = 010

Step 3: Add the numbers

If a carry is generated from the most significant bit(MSB)— the leftmost bit, that means the result is positive. Discard the carry it and add 1 to obtain the final answer.
If no carry is generated, that means the number is negative. In this case, you've to invert the bits of the answer.

Step 4: Convert the answer obtained in binary back to the decimal number system.

(1)2 = (1)10

Therefore, we get the answer as 1.

2. Bitwise operators

As we have Arithmetic operators to work on Decimal numbers, we have Bitwise Operators to work on Binary Numbers. The most commonly used Bitwise operators are:

Bitwise AND(&)
Bitwise OR(|)
Bitwise XOR(^)
Bitwise NOT(~)
Right Shift(>>)
Left Shift(<<)

Number 1	Number 2	AND(&)	OR(\|)	XOR(^)
0	0	0	0	0
0	1	0	1	1
1	0	0	1	1
1	1	1	1	0

Consider this as the master table. How to build this table?

1. AND(&): If both the bits of the numbers are 1, the output is 1 else 0.

2. OR(|): If both the bits of the numbers are 0, the output is 0 else 1.

3. XOR(^): If both the bits of the numbers are different, the output is 1 else 0.

Let's explore the other operators.

4. NOT(~) works on single bits. It inverts the value of the bits. If the input is 0 it converts it to 1 and vice versa,

5. Right Shift(>>): Shifts the position of bits to one place towards the right. The significance of the right bit is that it divides the number by 2. For example, let's say we have to right shift the number 12 two times.

Problem: 12>>2

Solution: 12 becomes 1100 in Binary

Right shift bits once: 0110

Right shift bits twice: 0011

Hence 12 gets converted to 6 and then 3.

6. Left shift(<<): Shifts the position of bits to one place towards the left. The significance of the left bit is that it multiplies the number by 2. For example, let's say we have to left-shift the number 12 two times.

Problem: 12<<2

Solution: 12 becomes 1100 in Binary

Right shift bits once: 11000

Right shift bits twice: 110000

Hence 12 gets converted to 24 and then 48.

3. Significance of these operations

a. General Application

Let's say you wanted to write a code where you are constantly multiplying/dividing the term by 2.

for (int i = 1; i <= N;  i = i * 2)
{
   ------------------
   ------------------
}

Instead of multiplication, you can directly use the left shift operator in the updation phase.

for(int i =1; i< = N; i =(i<<1))
{
   ------------------
   ------------------
}

b. Swapping

You can perform swapping without the need for a third variable. The magic is created by the XOR operator.

int a = 5, b = 2;
a ^= b;
b ^= a;
a ^= b;

c. Even/Odd

What if I told you that we can completely eliminate the use of the modulo(%) operation to find out whether a number is even or odd. We can achieve this using Bit Masking. Before diving into Bit Masking, I would like to perform a small quiz. What is the pattern among these numbers?

2 = 10

4 = 100

6 = 110

8 = 1000

10= 1010

1 = 1

3 = 11

5 = 101

7 = 111

9 = 1001

If you notice correctly, you'd observe that the last digit of each even number is 0. Similarly for odd numbers, the last digit is 1. Therefore, to distinguish between even and odd numbers, we just need to figure out whether the last digit of a number is 0/1.
The concept is if we use AND any number with 1, we would receive the last digit of the number.

For example,

i. 8 & 1

ii. 7 & 1

We can simply compare the result with 0 and verify if our number is even or odd. This process is called Bit Masking. We use 1 as a mask and perform an operation to get the desired output.

Code snippet for Even and Odd numbers using Bit Manipulation technique:

int i = 8763;
if((i&1)==0)
System.out.println("Even Number");
else
System.out.println("Odd Number");

That's it for today, folks. In the next part of this series, we would discuss Bit Masking Techniques and move on to explore some advanced Bit Manipulation Techniques & Algorithms.

This article was inspired by the DSA-One series by Anuj Kumar Sharma.

Bonus Insights by The Insightful Coder :

Interested in Building Creative Beginner-Level Python Projects🐍?: Check out the Python Projects for Beginners Series😍
Interested in Building Your Own Artificial Intelligence Projects using Python?: Check out the Python AI Series🧠
I'm dropping useful developer resources, interactive quizzes, interviews tips and more on my Instagram page 🖼
Find and Download All My Project Source Codes at My Github Repository 🎁

Demystifying Time Complexity & Big O Notation

Sai Ashish — Mon, 12 Apr 2021 17:12:45 +0000

One of the most important concepts in software development is analysing the time complexity of an algorithm. In technical interviews, you'd often find interviewers asking, "What's the time complexity of this algorithm?" or "Can you improve the time complexity?" If you've no idea what time complexity means or what the fuss about Big O is all about, stick till the end to find out!

What is Time Complexity?

Time complexity is the time taken by an algorithm as a function of the length of the input. In short, it tells the running time or performance of a program as the size of the input is varied.

Why do we need to understand Time Complexity?

Time complexity helps us to determines the scalability of an algorithm. Suppose, you're at a party and you want to use an Instagram filter to capture the joyous occasion. Alas, the filter takes years to load. Your smiles turn into a frown as your mood gets ruined. So much for a party, huh?

As a developer, it is necessary to understand which is the most efficient and optimised method to use in an application.

How to compare the time complexity of an algorithm?

Let us take an example to understand this problem. Ali and Jack were given a task to write a program to find the sum of n numbers. Jack is a very hardworking guy who has mastered the fundamentals of a programming language. He doesn't pay attention to anything except programming. Here's how he coded the program:

int n=10, sum = 0;
for(int i=1; i<=n; i++)
{
     sum = sum + i;
}
System.out.println(sum);

Ali was smart. He focused on every subject in school and solved problems in a jiffy. When Ali was granted the same problem, he chuckled and used Mathematics to his aid. Here's how Ali built his program:

int n=10;
System.out.println((n*(n+1))/2);

As you see from the above scenario, Ali was much more efficient as he avoided the shackles of using a loop to calculate his answer. If the size of the input increases, Jack's program will start to freeze and eventually int will overflow to present the wrong answer. Ali's magical line saves time and gives the right answer even for larger numbers.

What is Big O?

Image Source: BigOCheatSheet

Based on logic, we have understood time complexity and its comparison but we need something very distinct to compare the performance of different algorithms. If we start comparing the different type of sorting techniques by logic, it would get real tedious for our brain to execute the complexity of our problem. To optimise this, there's a superhero called the Big O.

As per Wikipedia, Big O or asymptotic notation is a mathematical function that describes the limiting behaviour of a function when the argument tends towards a particular value or infinity.

Big O basically tells us the time complexity in mathematical terms which can be easily compared. Our superhero Big O comes in different forms and sizes. I'll introduce you to them, right away!

Understanding O(1)

O(n) stands for constant time complexity. O(1) represents that no matter the size of the input, it takes the same amount of time to execute. For example,

int b = {1,2,3,4,5}
System.out.println(b[0]);

No matter the length of the array, the program will require one unit, constant time.

Understanding O(n)

O(n) stands for linear time complexity. Linear represents the time takes by the algorithm is directly proportional to the size of the input. One of the most famous examples is the Linear Search algorithm. In linear search, we iterate over each element of the loop until we find a match. In the best-case scenario, the element could be present in the first position itself, thus effectively reducing the time complexity to O(1) as seen above. On the other hand, if the element is present at the end of the array or not at all, the loop has to iterate over all the elements in the array. Hence, the time complexity increases to O(n).

int a = 0, n[] = {1,2,3,4,5};
for(int i = 0; i <n.length; i++)
{
     if(n[i]==a)
     {
          System.out.println("Found");
          break;
     }
}

Note: If there are two for loops in a program, the effective time complexity is still considered as O(n) and not O(2n). We typically ignore the constants in front of the variables in such cases, because they both still represent a linear function.

Understanding O(logn)

O(logn) also known as logarithmic time complexity denotes the time taken by the program to execute is proportional to the logarithm of the size of the input. The most famous example of this is the Binary Search algorithm. Let's suppose the worst-case scenario in the Binary search algorithm. We keep on halving our search array until we find the element or realise it is not present. In an array of 8 elements it will take maximum of 3 iterations(log28) to execute. If there are 1 million elements, it'll take just 19 iterations. This makes Binary Search so much more powerful than Linear Search.

int arr[] = {10,20,30,40,50}; 
int l = 0, r = arr.length - 1;
while (l <= r) {
      int m = l + (r - l) / 2;
      if (arr[m] == x)
          return m;
      if (arr[m] < x)
           l = m + 1;
      else
           r = m - 1;

Understanding O(n²)

O(n²) is also known as Quadratic time complexity. It represents that input is proportional to the square of the size of the input. It is most commonly seen in Bubble sort, Insertion sort and Patterns. Nested loops are an easy way to identify the O(n²) complexity.

As the number of nested loops increases so does the power.

for(int i = 1; i<=5; i++)
{
     for(int j = 1; j<=i; j++)
     {
         System.out.print(j);
     }
System.out.println();
}

Note: If there are instances of multiple nested loops of different orders only the highest power will contribute to time complexity. For example, if T(n) = 3n³ + 2n²+n. The time complexity will be Cubic, O(n³).

Understanding O(2ⁿ)

O(2ⁿ) represents the exponential function. It is opposite to the logarithmic function. This mostly occurs in the case of Recursive functions, like recursive calculation of Fibonacci numbers. Another famous example of this complexity is the Hanoi Tower Problem.

void solve_hanoi(int N, string from_peg, string to_peg, string spare_peg)
{
    if (N<1) {
        return;
    }
    if (N>1) {
        solve_hanoi(N-1, from_peg, spare_peg, to_peg);
    }
    print "move from " + from_peg + " to " + to_peg;
    if (N>1) {
        solve_hanoi(N-1, spare_peg, to_peg, from_peg);
    }
}

Program Source: Stack Overflow

Understanding O(n!)

O(n!) represents that the time complexity is the function of n factorial. This is the costliest it can get. One of the most classic examples is the Travelling Salesman Problem. Another example of O(n!) is given below:

const nFacRuntimeFunc = (n) => {
  for(let i=0; i<n; i++) {
    nFacRuntimeFunc(n-1);
  }
}

You should at all costs avoid the O(n!) complexity.

Let's Recap:

O(1) - Constant time complexity (Best🎯)
O(n) - Linear time complexity
O(log n) - Logarithmic time complexity
O(n²) - Quadratic time complexity
O(2ⁿ) - Exponential time complexity
O(n!) - Factorial time complexity (Worst😭)

Valuable Resource: Big O Cheatsheet

Our superhero deserves a website of his own. I stumbled upon this website called the BigOCheatSheet.com made by Eric. It contains an amazing comparison of the time complexity for different data structures and array sorting elements.

In today's world, people are learning various frameworks, libraries & technologies without learning time complexity or Data Structures & Algorithms(DSA). If you ask any developer working in the top MNC's, they'll advise you to master the fundamentals and learn DSA as it greatly helps in problem-solving and writing efficient code. With that said, I hope our superhero continues to be our guardian angel forever. Cheers🍻

Automating Facebook Login Using Python

Sai Ashish — Tue, 30 Mar 2021 13:22:26 +0000

In this article, we are going to automate the Facebook login process. We will achieve this using web automation, also known as browser automation. Web automation means automating, that is, performing a task automatically without the need for human effort.

In this article, you're going to learn:

1. The Approach of Problem-Solving via Automation 
2. Process of Web Automation
3. How to Use Selenium (Web Automation Tool)
4. How to Investigate the Source Code of a Website and Targeting the Elements We Want to Automate
5. Step by Step Execution of the Automatic Facebook Login Using Python

1. The Approach of Problem-Solving via Automation

The first step in problem-solving is to** identify the root of the problem**. The problem is to perform the same login task every morning. To solve this, we need to come up with an elegant method that does this task for us.

The most feasible solution to automate a program is by building one. I choose ** Python** as my ideal programming language for this task because of its ease and powerful libraries.

Let's list out the steps we want our program to automate:

Step 1: Open Google 
Step 2: Visit Facebook's Website
Step 3: Click on the input box under Email ID/Phone number
Step 4: Enter credentials
Step 5: Click on the input box under Password
Step 6: Enter the password
Step 7: Click on the login button

This is the algorithm for our problem statement. Now, we want to search for something that could help us perform this task.

Open your browser, and search for "How to automate web using Python?"

If you scroll down, you'd see one word popping more often than others. That's Selenium. The next step should be to explore more about Selenium.

I googled Selenium and here's what I found. Selenium automates browsers! Selenium is an open-source tool Web automation tool that helps users to control a web browser through a program. That's perfect. The next question was to find a way to use Selenium with Python.

Here, I discovered the documentation of Selenium for Python. Here's the link .

On visiting the website, I found the command to install Selenium in my Python Environment. It was pip install selenium.

If you scroll down, you'd encounter that Selenium requires something called a driver to interface with the browser. A Web Driver is an open tool used by Selenium that establishes a connection between you and any website. There are different kinds of driver options to choose from in accordance with the browser you want to automate. For this build, I'm going to use the Google Chrome Browser, so, I visit the site listed beside Chrome.

The site leads to the ChromeDriver - WebDriver for Chrome page. There are different versions of the driver available according to the version of your browser. Check the version of the browser you're using visiting the 3 dots -> Help -> About Google Chrome

As my Chrome version is 89.0.4389.90, I'd select the second option from the current releases of Chrome Driver.

I'm using Windows as my Operating system, so I choose the 5th option from the list. This downloads a zip file named chromedriver_win32.

Extract the folder. This unravels an executable file. That's it. Now, we are ready to automate our task.

2. Time to Code

Step by step, we are going to solve each step of the algorithm we created earlier, and voila! — our build would be successful.

Step 1: Open Google

By reading the documentation, I noticed this is achieved using the webdriver.Chrome function, which means I've to import webdriver from selenium. To do that, I type:

# importing the required module
from selenium import webdriver

We'll do one more quick step here, which is storing the credentials in variables.

# store the credentials
user_id = "email_or_phone_number_to_your_facebook_account"
password = "password_to_your_facebook_account"

We have to create an object of webdriver so that we can use it as a remote control to perform any automation task we wish to. We achieve this using the webdriver.Chrome() function.

Syntax:
variable_name = webdriver.Chrome('path_to_chromedriver.exe_file_we_downloaded_earlier')

browser = webdriver.Chrome('C:\\webdrivers\\chromedriver.exe')

In Windows, add a double backslash as a single backslash denotes escape character. This opens up the Google website.

Step 2: Visit Facebook's Website

To open Facebook we will be using the get() method.

Syntax:
browser_object.get(link_of_the_webpage_to_be_opened)

You can imagine the .get as a button on a remote control that opens up any website whose URL we pass to it. To open Facebook, simply pass the URL of facebook's main page.

browser.get('https://www.facebook.com/')

Step 3: Click on the input box under Email ID/Phone number

The next step is to click the input box under Email or phone. This may seem a bit tricky but if you understand the following steps in order, it'd be a piece of cake for you.

This is Facebook's main page. We click on the input element to activate it and send our credential to it. To do this first, we have to understand that a webpage is made up of something called HyperText Markup Language(HTML). The HTML decides the structure of a website. The HTML has tags(like parts of a body) and each tag can be accessed via its specific attributes(property).

Similarly, the input field also has a tag with some attributes. To identify the name of the tag, we will inspect the code of the webpage.

Visit the three dots -> More tools -> Developer Tools or simple type Ctrl+Shift+I and the browser opens up a section of the code of the webpage, It may look super scary if you're unfamiliar with this, but don't worry, you don't have to understand it all.

Press Ctrl+Shift+C or click on the select button(arrow thingy). Now, if you hover over the web page different parts will start gettings highlighted. We have to click on our target element, in our case, the Email or phone input box. This opens up the corresponding source code to that element.

It denotes that it is an input element. Note down the id attribute of the element. It is email. This acts as the unique identifier for that element. In our Python Program, we will find that element using the find_element_by_id() function.

user_box = browser.find_element_by_id("email")

This finds the element with the id email and returns an object into the user_box variable.

Step 4: Enter credentials

We will pass the email_id or phone stored from the program into the browser using the send_keys() function.

user_box.send_keys(user_id)

Step 5: Click on the input box under Password

Similarly, repeat the process to find the Password element's id. We get the id of the password input field as pass.

Get the object of the element using the find_element_by_id() method.

password_box = browser.find_element_by_id("pass")

Step 6: Enter the password

Pass the password stored earlier in the program using the send_keys() function.

password_box.send_keys(password)

Step 7: Click on the login button

Following the same process for the login button as well, but this time we'll choose the name attribute instead of the id attribute. The reason for that is it is easy to remember and the id seems to be dynamically updated every time the page is loaded, so it wasn't working out.

After locating the element, we'll click it using the .click function()

login_box = browser.find_element_by_name("login")      
login_box.click()

Final Source Code for Automating Facebook Login Using Python:

You can download the entire source code from my GitHub Repository. Be sure to star the repository, it contains a bunch of amazing automation code files.

And that's a wrap! We have successfully automated the login process of Facebook without the use of any bot and pure web scraping techniques. Using the process, I listed above you can automate any task on any website you wish for. The only things that are going to change are the values of attributes we will be targetting.

What application would you like me to automate next? Should I build an Instagram Profile Picture Downloader, an Amazon Message Bomber or Whatsapp Automation? Let me know in the comment section below!

Bonus Insights by The Insightful Coder :

Interested in Building Your Own Artificial Intelligence Projects using Python?: Check out the Python AI Series🧠
Wanna Discover Some Valuable Tech-Hacks 🛠?: Check out the Tech-Hacks for Everybody Series😎
I'm also dropping daily value bombs and development insights on my Instagram Page. Make sure to follow me up 💯
Find and Download All My Project Source Codes at My Github Repository 🎁

Build & Play the Magic 8 Ball Game Using Python

Sai Ashish — Sun, 28 Mar 2021 14:17:01 +0000

Welcome to Python Projects for Beginners Series🙋🏻‍♂️

I'm Sai Ashish and today, I'm going to show you how to build the traditional Magic 8 ball game using Python😍

How psyched are you for this build? Let's get started 🚀

What are we going to learn today?

1. What is the Magic 8 Ball game?
2. Internal Mechanism of Magic 8 Ball
3. The Random Module, the Time module & the Pyfiglet Module
4. Basics of Python: Functions & Recursive Function
5. Implementation of Magic 8 Ball Game using Python with a detailed explanation

1. What is Magic 8 Ball Game?

The Magic 8-Ball is a plastic sphere, made to look like an eight-ball, that is used for fortune-telling or seeking advice. The user asks a yes–no question to the ball, then turns it over to reveal an answer in a window on the ball🎱

Source: Wikipedia

2. Internal Mechanism of Magic 8 Ball

Let me tell you a secret real quick🤫 In reality, the Magic 8 Ball, just picks out random answers from a pool of possible answers embedded into it. There is no actual processing involved. In this build, we are going to achieve this magic using the Random module.

3. The Random Module, the Time module & the Pyfiglet Module

a. The Random Module

To help us build this game, we are going to use an amazing module of Python called random. The random module generates random numbers for us. This gets in real handy as we do not want our computer to be biased.

b. The Time Module

The time module provides various time-related functions. We use it to retrieve the system time and display it on the screen. You can access the official documentation form here📄

c. The Pyfiglet Module

Before we dive into the build, I'd like to introduce everyone to an aesthetic module of Python, The Pyfiglet Module. Aesthetic module? What do you mean?

Yes, aesthetic. The Pyfiglet Module converts ordinary looking text into creative word blocks in just a line of code. An example of this can be seen in the image below:

To install pyfiglet into our system, open your terminal and type the following command:

pip install pyfiglet

4. Time To Code

The first step is to import the required modules:

# importing the required libraries
import random
import pyfiglet
import time

Let's define a function named magic8ball() which greets the players of the game and takes their name as an input.

We define a function by using the define statement as:

# defining function magic8ball()
def magic8ball():

Inside this magic8ball() function, let's print the amazing Magic 8 Ball design we created earlier using the Pyfiglet module.

# print aestheic text design
print(pyfiglet.figlet_format("Magic 8 Ball"))

Asking the player for their name:

# asking for player's name
name = input('Hey there, I am the Magic 8 Ball, What is your name?')

Greeting the player:

# greeting the player
print('Hello ' + name + '!')

Inside this function, let's call another function called magic_questions()

# calling the magic_questions() function to ask for question and give magic response
magic_questions()

The process of calling one function inside of another function is called Recursion.

Let's define magic_questions()

# defining the function magic_questions()
def  magic_questions():

Inside the magic_questions() function, we store the 20 default answers originally stored inside of the Magic8Ball inside a variable called answers. The random module will choose one of the answers by itself and display it to the player.

# list of answers the ball replies
 answers = ["It is certain", "It is decidedly so", "Without a doubt", "Yes, definitely",
               "You may rely on it", "As I see it, yes", "Most Likely", "Outlook Good",
               "Yes", "Signs point to yes", "Reply hazy, try again", "Ask again later",
               "Better not tell you now", "Cannot predict now", "Concentrate and ask 
                again", "Don't count on it", "My reply is no", "My sources say no", "Outlook 
                not so good", "Very Doubtful"]

Now, we want to ask the user to input his question for the purpose of fortune-telling/ advice seeking. Sadly, the answers are random and not related to the questions in any manner. Therefore, we would ask the users for input but wouldn't store it anywhere.

input('Ask me a question ')

To simulate the feeling of a real game, let's add some text and a delay between them so that it seems that the computer is actually thinking and generating the possible answer!

# simulating the thinking process
print("Thinking...")
time.sleep(1)
print("Gathering possible answer...")
time.sleep(2)

The answer is picked out at random. We use the randint() function of random to pick out the answers.

# printing out a random answer from the list of possible answers
print (answers[random.randint(0, len(answers)-1)] )

After a delay of 3 seconds, we ask the player if they want to play again. The replay will be taken care of by the Replay() function we are about to define next.

time.sleep(3)
# calling the Replay to check if the player wants to play again
Replay()

Defining the function Replay():

# defining the Replay function()
def Replay():

We ask the player if they want to play again and store the response in lowercase using the lower() function.

# asking the player's interest in playing again
print ('Do you have another question? [Yes/No] ')
# converting the response to lower case to avoid capitalisation issues
reply = input().lower()

If the user wants to play again, we redirect him to the magic_questions() function and the game resumes the same from that point. If no, we'd stop the execution of the program using the exit() function. If the user enters anything else, we ask the user to re-enter his choice as it wasn't clear. The benefit of using the lower) function in the above line was that if the player inputs their response but is clumsy about the capitalisation, it could be taken care of.

# if yes, resume the game again from the question-answer part
if reply == 'yes':
    magic_questions()
# if no, stop the execution of the program
elif reply == 'no':
    exit()
# in case of an invalid response, ask the player to enter a valid choice
else:
    print('Apologies, Please enter Yes or a No.')
    Replay()

Finally, we call the magic8ball() function to execute our game.

# calling the magic8ball() function to recursively activate the other functions too
magic8ball()

Final Source Code for the Magic 8 Ball Build🎱

Let's try the game out!

Output for the Magic 8 Ball game🎱

That was demeaning 😂 Atleast, my articles would provide value to the amazing people out there 💯

In this build, we've extensively used the power of recursion. We've divided our program into small chunks, each to carry out a particular task. In addition, we've recursively called functions within functions to kind of automate the flow of our program. Instead of a loop, we directly call the magic_questions() function if the player wants to play again.

You can directly download the Source Code to this build can be downloaded from my GitHub Repository.

And while you're at it, consider giving this blog the maximum love you can and I promise to give you such value bombs every week 💣 Until then, take care 🙋🏻‍♂️

If you liked this article, I'm sure you'd love these too:

8 Websites That You Should Definitely Check Out Once

Sai Ashish — Sat, 20 Mar 2021 18:55:43 +0000

We are often so bored out of our minds that nothing seems pleasant anymore 😴 To save you from that misery, I've compiled a set of 8 websites to visit to lift up your spirits 👻 So, gear up because some of them are going to blow your mind 🤯

1. This Person Does Not Exist

This website generates pictures of people who do not exist in real life. Yes, you heard it right. This website uses Artificial Intelligence to generate images of fake people. Just hit refresh and voila! —a new image is generated. Imagine, the pranks you can pull off with this one! You can experience this from here.

If you like this website, you'd probably also like Which Face is Real?. In this game, you'd be given a set of pictures and you'll have to identify the real person from the AI-generated one.

P.S. I lost 3 out of 5 times

2. Internet Archive

Internet Archive is a non-profit library of millions of free books, movies, software, music, websites, and more. It has almost every resource you ever require. Check it out here

3. Temp-mail

Ever wanted to access a site but required a prerequisite to first create an account. Don't worry, we have you covered. With Temp Mail, you can create a temporary mail with which you can log in to many websites. Temp Mail provide a secure, anonymous, free, disposable email address and you can also read the incoming emails as well. You can create a temp mail from here

4. Really Good Email

Really Good Email has more than 7k amazing email designs for you to use to stand out from others. They've email design for eCommerce platforms and fashion to brand email designs from Apple, Pinterest and many others. Do have a look at this resource here

5. Unscreen

With Unscreen you can remove any video background 100% and free. You don't need to pick pixels, or remove layers. Everything is automatic and hassle-free. You can try it out here

6. PhotoPea

Photopea is your online photoshop. You can do pretty much everything like editing photos, apply various filters and effects, text, transformations and more. You can access the website from here

7. JustFlipACoin

Ran out of coins at the nearest vending machine? Or want to make life decisions? Try Just Flip A Coin. Just Flip A Coin simulates the tossing of a coin and gives you an unbiased decision in seconds. So, the next time you don't have a change, flip the coin here .

8. Windows93.net

This is my go-to website when I feel bored or down. This site ravels the whole Windows 93 in a clean interface. You can play all the Flash games, open files, edit, save them and more. The whole Windows 93 at the tip of your fingers 👆🏻 I highly recommend you to visit this site and play around. One of my favourite storylines is the Star Wars one. And do check out the totally not a virus dolphin 😂 Experience Windows 93 now by clicking on the globe 🌐

That's it folks💯 If you liked this article, smash the like button and do let me know which website you enjoyed the most!

Bonus Insights by The Insightful Coder :

Interested in Building Creative Beginner-Level Python Projects🐍?: Check out the Python Projects for Beginners Series😍
Interested in Building Your Own Artificial Intelligence Projects using Python?: Check out the Python AI Series🧠
Wanna Interact With Me 🙋🏻‍♂️? Connect With Me on Your Favourite Platform Here 🤝🏻
Find and Download All My Project Source Codes at My Github Repository 🎁

How to build an URL Shortener & Expander using Python

Sai Ashish — Tue, 16 Mar 2021 12:38:47 +0000

Welcome to the Python Projects for Beginners Series 🙋🏻‍♂️

I'm Sai Ashish and today, I'm going to show you how to build an URL Shortener & Expander using Python😍

How cool is that? Let's get started 🚀

What are we going to learn today?

1. What is a URL?
2. Understanding the URL structure
3. Why do we shorten or expand an URL?
4. Basics of Python: Conditional Statements, Type Casting, Functions
5. The Pyshorteners module
6. Implementation of the URL Shortener & Expander with detailed explanation

1. What is a URL?

A Uniform Resource Locator(URL) is a web address which specifies the location of a particular file on the internet. That particular file could be the HTML webpage itself or the CSS style sheet, images, video embeds etc.

2. Understanding the URL Structure

Typically a URL has 5 parts:

1. The Scheme

The Scheme tells the web servers which protocol to use while accessing a page on a website. The most common examples are http and https, while there are quite a few other such as ftp and mailto. The Insightful Coder uses the https: protocol, indicating the Hyper Text Transfer Protocol with a Secure Sockets layer .

2. The Subdomain

The Subdomain is an additional part to the domain name. For example, blog, shop or offers provides the website’s blog, shop or offers page. It is used to indicate that a website has more than one part apart from the main page. At The Insightful Coder, we only have the second-level domain.

3. The Second-level domain

The Second-level domain is the name of the website. theinsightfulcoder is the second-level domain of our website.

4. The Top-level domain

The Top-level domain or TLD specifies the entity a website gets registered on the internet. The most commonly used TLD are .com, .org, .net, .dev, .in etc. As you can see, The Insightful Coder has a TLD of .com

5. The Subdirectory

The Subdirectory specifies the page you're currently on. For eg, for this article the subdirectory is /create-your-very-own-url-shortener-and-expander-using-python

3. Why do we shorten or expand a URL?

a. URL Shortener:

A URL shortener is a tool to shorten a URL.

Which URL would you rather prefer http://somerandomkeywords.randomdomainname.tld/unecessary-long-post-slug-uggh! or https://theinsightfulcoder.com?

We use URL shortening for:

Beautification: A shortened URL is a beautiful URL. A shortened URL looks neat and clean, easy to understand and hence, can generate more traffic to your website.
Easy to remember: A short URL is easier to remember than a long one.
Word of Mouth Communication: Suppose you want to share the name of your website with a friend, a colleague or a recruiter. Or you want to print the name of your website on a card or display it during a presentation or video conference. Which URL would you choose? With a shorter URL you can leverage word of mouth communication.
Social media marketing: Social Media such as Instagram or Twitter provide a strict number of characters or links you can use to showcase your URL. A shorter URL gives the users the chance to focus on what's important.
More Clicks = More Traffic = Better page visibility: URL Shortening becomes a major factor to get clicks website. More clicks = More traffic = Better page visibility.

b. URL Expander

A URL expander is a tool used to expand a URL.

We use URL expanding for:

While shortening a URL has many benefits, spammers and hackers have found a convenient way to redirect a shortened URL to a spammy or malicious website. To be aware of such malpractices and which website you're visiting, it is a good practice to check where the shortened URL points at.

Time to Code:

You can access the exclusive theory for this build here📄

For this build, we would be using the pyshorteners module. As per the official documentation , Pyshorteners is a Python lib to help you short and expand urls using the most famous URL Shorteners availables.

The Pyshorteners module provides a variety of different services to choose from. Some of them are Adf.ly, Bit.ly, Cutt.ly, Git.io, Po.st, Short.cm, Tiny.cc, TinyURL.com, Tiny.cc.

To install the pyshorteners module, run the following command in the terminal:

pip install pyshorteners

For our build, we will be using tinyurl but you are free to choose any service you like to.

The first step is to import Shorteners from the pyshorteners module. We implement it as:

#importing the required library
from pyshorteners import Shortener

Let's store an instance of the shortener in a variable.

s = Shortener()

Now, we can just use s to access the functionalities of Shortener().

Next, we want to ask the user if he wants to expand a URL or shorten it.

choice = int(input("Enter 1 for link shortener and 2 for link expander: "))

Let's define a function, short() to execute link shortener.

def short():

Next, we want the link to be shortened.

link = input("Enter the link to be shortened: ")

Pass this link to tinyurl's short function.

shortened_link = s.tinyurl.short(link)

Let's give our users the short link.

print(" The Shortened Link is: " + shortened_link)

Similarly, let's define a function for link expander. The only difference being, instead of using short(), use the expand() function.

def expand():
       link = input("Enter the link to be expanded: ")
       expanded_link = s.tinyurl.expand(link)
       print("The Expanded link is: " + expanded_link)

If the user chose 1, we call the short() function, the expand() function if 2 and an error message for any other input.

if choice == 1:
    short()
elif choice == 2:
    expand()
else:
    print("Wrong Entry. Please try again.")

The Final Source Code is given below:

Code in Action 💪🏻:

We did it 🥳 We have made our own URL Shortener & Expander using Python! How amazing is that? As a gift for staying till now, you get access to my Python For Beginners Series Repository 😍 This repository contains all the source code you'd need to get started as a Python Developer 🐍.

You can also download the source code to this project here. Do hit the twinkle star, if this article provided value to you 🔥

And while you're at it, consider giving this blog the maximum love you can and I promise to give you such value bombs every week 💣 Until then, take care 🙋🏻‍♂️

Bonus Insights by The Insightful Coder :

Interested in Building Your Own Artificial Intelligence Projects using Python?: Check out the Python AI Series🧠
Wanna Discover Some Valuable Tech-Hacks 🛠?: Check out the Tech-Hacks for Everybody Series😎
I'm also dropping daily value bombs and development insights on my Instagram Page. Make sure to follow me up 💯
Find and Download All My Project Source Codes at My Github Repository 🎁

How to Build a Guessing Number Game Using Python

Sai Ashish — Fri, 12 Mar 2021 11:05:54 +0000

Welcome to Python Projects for Beginners Series🙋🏻‍♂️

I'm Sai Ashish and today, we are going to build a simple Guessing Number Game using Python. You will be given 3 chances. All you have to do is guess a number between 1 to 10 (included) and if you guess the number correctly, you win 🏆

Simple enough? Let's get started?🚀

Through this project, you're going to learn about:

1. The Random Module
2. Basic concepts of Python: type casting, conditional statements,
   iterative statements and string interpolation
3. Implementation of the guessing the number game with detailed explanation

You can access the basic Python concepts required for this build from here💣

Step 1: Modules Required:

To help us build this game, we are going to use an amazing module of Python called Random. The random module generates random numbers for us. This gets in real handy as we do not want our computer to be biased.

Step 2: Time to Code!

The first step is to import the random module:

import random

Now, we want the computer to choose a random number between 1 and 10. To set these limits, we make use of the randint() method of python.

Syntax of randint() is given as:

randint(lower limit , upper limit)

For Our Case:

number = random.randint(1,10)

Let's give the player 3 chances to guess the lucky number. To do that, we would require a loop that would repeat our game 3 times.

for i in range(0,3):

Inside our loop, we would like to ask the player for a number using the input() function. As python accepts string by default, we would convert the string into a number using function int(). The conversion of one data type into another is known as type casting or type conversion.

user = int(input("Guess the lucky number"))

Next, we would compare if the number guessed by the user equals the number generated by the computer. To compare, we use the 'if' statement and check for equality using the == operator.

if user == number:

If the number guessed is correct, we display "Hurray!!" using the print statement.

print("Hurray!!")

We would also like to display the lucky number. We would implement this concept using a mechanism called f-string or literal string interpolation.

Interpolation or interpolate means insert (something of a different nature) into something else. Here, we insert the value of the variables inside the statement of the string we are going to display.

#syntax for f-string or string interpolation
name = 'Ashish'
age = 20
print(f"Hello, My name is {name} and I'm {age} years old."

#output is generated as the value of variable replaced with contents of {}
Hello, My name is Ashish and I'm 20 years old.

In our game, we use interpolation as:

print(f"You guessed the number right, it's {number}")

Now, if the player has 3 unsuccessful attempts, the game gets over and the number is displayed on the screen as:

if user != number:
    print(f"Your guess is incorrect, the number is {number}"

The Final Source Code Is Displayed Below:

The Output if You're Lucky Indeed😍

Well, Better Luck Next Time😢

There you go! You have now built your very own guessing game with just 10 lines of code👩🏻‍💻 As a gift for staying till now, you get access to my Python For Beginners Series Repository🎁 This repository contains all the source code you'd need to get started as a Python Developer 🐍

You can also download the source code to this project here. Do hit the twinkle star, if this article provided value to you 🔥

While the game looks simple and boring, it's actually very addictive😅
Want to take it even further? As a challenge, try building a GUI for your game🚀

And while you're at it, consider giving this blog the maximum love you can and I promise to give you such value bombs every week 💣 Until then, take care 🙋🏻‍♂️

Bonus Insights by The Insightful Coder :

Interested in Building Your Own Artificial Intelligence Projects using Python?: Check out the Python AI Series🧠
Wanna Discover Some Valuable Tech-Hacks 🛠?: Check out the Tech-Hacks for Everybody Series😎
I'm also dropping daily value bombs and development insights on my Instagram Page. Make sure to follow me up 💯
Find and Download All My Project Source Codes at My Github Repository 🎁#for_our_case

5 Python Projects That Can Be Built Under 5 Minutes

Sai Ashish — Tue, 09 Mar 2021 16:59:33 +0000

Welcome to the Python Projects for Beginners Series 🙋🏻‍♂️

I'm Sai Ashish and today, we are going to code 5 Python Projects that can be built in under 5 minutes 🤯

I hope you're psyched because this is going to be amazing 💯

What Are We Going to Build?

1. Notification Generator 🔢 
2. Check Your Battery Percentage 🔋
3. Take a Screenshot 🖼
4. Figlet Generator 🔠
5. ConvertText to Speech 🗣

What Are We Going to Learn Today?

1. How to effectively use modules in our python programs
2. Basics of Python: Functions

Project 1: Notification Generator 🔢

As the name suggests, a notification generator generates a notification(a message) about a particular task, reminder or anything you require. In today's build, we would be generating a pop-up notification on a Windows device.

Apart from the obvious, you can integrate this snippet of code into any of your applications. For example, in How to Build an Alarm Clock using Python, you can also generate a notification along with your favourite song. Or suppose you wanted to get an alert whenever your battery percentage is below 35 or get reminders, this is the tool for you.

Let's Have a Look at Our Build:

Module Used:

For this build, we require the win10toast module. win10toast is an easy-to-use Python library for displaying Windows 10 Toast(Pop-up) Notifications. The official document of the module can be accessed from here.

To install the win10toast module, go to the terminal and run,

pip install win10toast

That's it. You're all ready for the build now.

Time to Code!

The first step is to import the win10toast module into our programming environment. For this, we use the import statement as,

from win10toast import ToastNotifier

Next, we define a function named windows_popup that takes three parameters as input — title, content and duration.

def windows_popup(title,content,duration=10):

Functions help break our program into smaller and modular chunks. Moreover, it avoids repetition and makes the code reusable.

In our function, we code two statements,

toast=ToastNotifier()
toast.show_toast(title,content,duration=duration)

We create an instance of the ToastNotifier class and store it inside toast variable. Imagine the instance as a remote control to your program. You can now use any buttons on the remote control to perform the task needed.

We call the show_toast function and pass the input parameters as seen.

Parameters:

title: the title of the notification. it appears in bold. Example: Reminder

content: the content of the notification. Example: Close down your desktop and go for a walk!

duration: the duration in seconds you want the notification to be shown on the screen

Finally, we call the function as:

windows_popup("Reminder", "Go and get a life!")

Final Source Code for Notification Generator is seen below:

You can directly download the source code for Notification Generator from my Github Respository.

Project 2: Check Your Battery Percentage 🔋

In this build, we generate the battery percentage of our device.

Module Used:

For this build, we use the psutil module. psutil is a cross-platform library for process and system monitoring in Python. The official documentation of the psutil module can be found here.

To install psutil into our system, type in the terminal the following:

pip install psutil

Time to Code!

As always, import the psutil module into our environment.

import psutil

Gain the remote control by creating an instance of the sensors_battery() class in the psutil module.

battery = psutil.sensors_battery()

Gain the battery percentage information into variable percent as follows:

percent = str(battery.percent)

To display the battery percent on the screen, type:

print("Battery Percent= " + percent + "%")

Final Source Code for Battery Percentage Checker:

You can directly download the Battery Percentage Checker code from my Github Repository too.

To test your coding skills, try generating a notification when the battery percentage falls below 35%. Comment your code in the comment box below!

Project 3: Take a Screenshot 🖼

Modules Required:

For this build we require the Pyautogui and the time module.

PyAutoGUI is a python module that lets you control your mouse and keyboard using a program. PyAutoGUI also lets you automate your everyday tasks and can play games, login into emails, and more. You can access the official documentation of Pyautogui module from here.

To install PyAutoGUI in your system, open your terminal and run:

pip install pyautogui

The time module provides various time-related functions. We use it to retrieve the system time and display it on the screen. You can access the official documentation from here

Time to Code!

Importing the required modules into our python environment:

import pyautogui
import time

We use the time.sleep method to switch the application from our python environment to the screen we want to take a screenshot from.

time.sleep(3)

To take the screenshot, we use pyautogui's screenshot method and store it inside the img variable.

img = pyautogui.screenshot()

To save the image, we use the save method as:

img.save(r"image.png")

Note: This command will save the image into the same directory as the location of the python file you're running from.

Final Source Code for Screenshot Taker is as follows:

You can directly download the source code of the Screenshot Taker build from here.

Project 4: Figlet Generator 🔠

The Figlet Generator Converts ordinary text into a creative figure letter design(ASCII Art Font) as shown below:

Modules Required:

For this build, we require the PyFiglet module. You can access the official documentation of Pyfiglet module from here. The PyFiglet module can be installed by using:

pip install pyfiglet

Time to Code!

The first step, is to import the Pyfiglet module

import pyfiglet

To convert your word into ASCII Block Art format we use the figlet_format function. We store the result into a variable called result. For slant font, we set the fomn to slant. For normla block, just omit that paramter and enter only the text in double quotes.

result = pyfiglet.figlet_format("Sai Ashish", font = "slant")

Display your creativity using thr print statement:

print(result)

Final Source Code for Figlet Generator:

You can directly download the source code from my Github Repository.

Project 5: Convert Text to Speech 🗣

Last but not the last and my most favorite build among all, the Text to Speech Generator.

Module Required:

For this amazing build, we require the pyttsx3 module. pyttsx3 is a text-to-speech conversion library in Python. Unlike alternative libraries, it works offline, and is compatible with both Python 2 and 3.You can check the official documentation from here

To install pyttsx3 into our system, go to the terminal and type:

pip install pyttsx3

Time to Code!

We import the pyttsx3 module into our environment using:

import pyttsx3

To get the remote control, we initialise pyttsx3 as:

engine = pyttsx3.init()

After gaining the instance, we use the say method to tell the engine to speak the sentence provided to it.

engine.say("Hello Everyone")

Finally, we use the runAndWait command to run the command.

engine.runAndWait()

Final Source Code for Converting Text to Speech:

You can directly download the Text to Speech Build from my Github Repository.

That's it, folks! We have successfully learnt 5 short yet interesting builds that can be implemented in under 5 minutes. These builds are a very good stepping step for any beginner in Python. If this blog provided value to you smash the like button and subscribe to the newsletter to never miss another blog update 💯

Bonus Insights by The Insightful Coder :

Interested in Building Your Own Artificial Intelligence Projects using Python?: Check out the Python AI Series🧠
Wanna Discover Some Valuable Tech-Hacks 🛠?: Check out the Tech-Hacks for Everybody Series😎
I'm also dropping daily value bombs and development insights on my Instagram Page. Make sure to follow me up 💯
Find and Download All My Project Source Codes at My Github Repository 🎁