DEV Community: shivashish thakur

Top Machine Learning Telegram Channel

shivashish thakur — Sun, 26 Jul 2020 06:12:07 +0000

Machine Learning Telegram Channel
'Coz ML is an art and this telegram channel ensures that you become an artist.

Machine Learning sounds all cool but being a practitioner of the same is not everyone's cup of tea and this is why the Machine Learning channel was created. To ensure that Machine Learning's exclusive content is being made available to all the aspirants out there.

Machine Learning (ML) Telegram Channel brings you-

Machine Learning Tutorials that covers every concept
Machine Learning Codes & Practicals
Machine Learning Case Studies and Applications
Top Machine Learning Projects with Source Code
Machine Learning Interview Questions with Answers

Machine Learning, a dream not so far

Machine Learning, a term that in itself takes you to the dreamland of innovations soon as you hear it. Machine Learning is more of an emotion rather than just a term that connects to almost every tech geek out there.

According to some study, what's machine learning has been in use as of now is merely a small part of it. There's a hell lot of things still unexplored. This is what brings out an immense amount of opportunities for all the Machine Learning enthusiasts out there. Being a machine learning practitioner is what having a dream is all about.

Although the innovations and the opportunities are a center of attraction of machine learning, having a career in it isn't as easy as it sounds to be. It takes skills and a lot of effort to be called as a Machine Learning Professional. It takes guts to get to the glory.

WELCOME TO THE ML WORLD

Since being aware of the challenges one faces during his journey of the ML world, this channel has each and everything that it takes to be there ultimately. An inch perfect channel that was created with a dream of being able to let all the ML aspirants there to achieve their goals.

'Coz it's your time to be a Machine Learning professional

These resources are there with you always in your smartphone so that there are no hindrances in your Machine Learning journey. What separates these resources from the other ones are that these are curated by real ML practitioners.

Top Reasons Why Learning Python Is the Best Decision

shivashish thakur — Tue, 02 Jun 2020 11:15:58 +0000

Hello python aspirants!

It’s an obvious thing that might arise in your mind if you are investing your time in something. That is it worth learning?
If I talk as a programmer, Every program should have a perfect output if the given input is right.

So if you are investing your valuable time and energy in python, You expect a perfect output.

Don’t worry my friend, I have got the answer for your all queries.

All in short….Python is definitely worth learning.

Let’s explore how???

Python is used strongly in thousands of real-world business applications throughout the world, including many large and mission-critical systems.

Let’s explore the prime reasons to learn Python Language In 2020?

Already know the fundamentals ??

Jump to a fascinating python project: Intelligent Video Surveillance Project

1. Python’s popularity

The main reason associated with the popularity of Python is, it is fabulous and easy to code. It has a characteristic of quickly writing complicated tasks. Many important applications only support Python language.

The popularity of the Python language in 2020 will be extremely high. As per the study of the TIOBE Index for February 2020, this programming language ranks in the number 3 slot. Its honored with the headline of fast-rising programing language that comes beneath the top 50.

In addition to it, Popularity of Programming Language Index (PYPL) ranked Python as the most famous language based on search engine searches as opposed to different programming languages. The fact, as matched to the current five years, Python has been increased to 17.6%.

Further, the need for Python developers is very high. As per StackOverflow’s Developer Survey, this programming language ranked 2nd in the world as of its adaptable quality.

Moreover, Industry leaders like YouTube, Amazon, Google, Facebook, IBM, NASA, Netflix perform the use of this language. Even more leading companies are utilizing this language that makes the demand for Python developers very high.

2. Python’s Salary

If we talk about the salary of python developers in India.

The average salary for a Python Developer is ₹ 4,92,250 per year in India.

Here’s the list of salaries of python developer for different positions:

Software Engineer – $103,035/yr
Sr. Software Engineer – $129,328/yr
DevOps Engineer – $115,666/yr
Data Scientist – $117,345/yr
Sr. Data Scientist – $136,633/yr

3. Python is simple & easy to study

Python is the simplest and easy to learn programming language as of having easy syntax and readability. Even this language is more precise as compared to other programming languages like C, C++, etc.

Because of this reason, Python developers manage their coding as more convenient and even fun.

4. Python is portable & extensible

This programming language is also the most portable language. For instance: In a case, the users have a python code for windows, and they want to perform it on a platform like Mac, Unix, or Linus. They can do it without any reformation. Even they can operate this code on any platform flawlessly and uninterruptedly.

Moreover, Python is likewise an extensible programming language. The users can compose python code into C++ or C language. Even, people can compile that code in languages like C++ and C.

5.Python Career demand

With every inch of time, we can see that Artificial intelligence and Machine Learning are becoming the shine on the eyes of every developer. Which is why, newcomer or expert, all are encouraging the “popularity traffic” towards Python. This is the cause of the increase in Python demand.

Get to know that…..Python’s growth is momentary? or this growth has a remarkable Future!?

6. Python is practiced in Data Science

Python is a high-level programming language that is quick, open, friendly, and easy to learn. It performs flawlessly with others and even runs everywhere seamlessly.

Want to know why does Python language preferable than other data science tools? Here are the top 4 major reasons…..

Robust and simple to use
Scalable
Options of Libraries
Extensive Visualization and Graphics options

Explore Why and How to learn python for data science?

7. Python’s scripting & automation

Being an open-source scripting language, we can quickly automate anything on Python. A python learner as a novice can immediately learn its basics and gradually able to write its scripts to automate data or stuff available around.

Study Python through the Master Guide – Python Notes for Beginner to Advanced Learners.

8. Python practiced with Big Data

To complete the big data job perfectly, Python is thought to be the best data science tool. When there is a need to integrate web application and data analysis with the production database, then big data and Python are the most desirable solution.

9. Python practiced in Artificial Intelligence

A lot of people have queries about, ‘Which programming language is best for AI?’ or “Why Python for AI?”

Despite being a general-purpose language, Python has made its move into the toughest technology that is Artificial Intelligence

I will introduce you to the most efficient and popular AI-based Python Libraries.

Tensorflow
Scikit-Learn
NumPy
Theano
Keras

10. Python in Web Development

Python provides several frameworks for web development. I am mentioning here the most commonly used python libraries that are utilized in web development.

Django Framework
Flask Framework
Web2py Framework
Pyramid Framework
Dash Framework

These were some prime reasons which prove that python is definitely worth learning!

Make your place reserve in the future, be the smarter student- Learn PYTHON.

It was a pleasure that you took a moment to read my article. I hope this article helps you!

Thank You! ;)

Top Data Science Projects- boom to your career!

shivashish thakur — Wed, 27 May 2020 12:00:13 +0000

Hola data science enthusiast!

A million-dollar question: How to become a data scientist?

The simplest answer: Work on real-time data science projects which actually data scientists are working upon.

Your search and curiosity for data science projects end here!!

Ssshhhhh!!!!!! Source code included.....

Data Science Projects for beginners:

Fake News Detection Project:

A master of yellow journalism, fake news is false data, and hoaxes spread by social media and other online media to accomplish a political agenda.

In this data science project, we will utilize Python to develop a model that can correctly detect whether a piece of news is real or fake.

We’ll develop a TfidfVectorizer and use a PassiveAggressiveClassifier to distribute news into “Real” and “Fake”. We’ll be practicing a dataset of shape 7796×4 and perform everything in Jupyter Lab.

Drive the career of media in the right direction by working on the project Detecting Fake news with the help of python.

Color Detection Project:

In this data science project, we are going to develop an interactive app that will recognize the selected color from any image.

To achieve this we will require a labeled data of all the associated colors then we will determine which color resembles the most with the selected color value.

Ready to Develop an application to identify colors with Beginner Data Science Color Detection with OpenCV Project.

Sentiment Analysis Project:

Sentiment analysis is the act of analyzing words to discover sentiments and opinions that may be positive or negative in polarity. This is a kind of classification where the classes may be binary (positive and negative) or multiple (happy, angry, sad, disgusted,..).

We’ll perform this data science project in the language R and utilize the dataset by the ‘janeaustenR’ package.

Check the complete implementation of the Sentiment Analysis Project in R with Source Code.

Stock Price Prediction project:

Machine learning has significant applications in the stock price prediction. In this machine learning project, we will be talking about predicting the returns on stocks.

Check the complete Stock price prediction, a machine learning project for beginners.

Intermediate data science projects

Speech Emotion Recognition Project:

This data science project practices librosa to perform Speech Emotion Recognition. SER is the method of trying to understand human emotion and affective states from speech. Since we practice tone and pitch to express emotion through voice, SER is possible; but it is difficult because emotions are subjective, and annotating audio is challenging. We’ll practice the mfcc, chroma, and mel features and use the RAVDESS dataset to understand emotion on. We’ll develop an MLPClassifier for the model.

Explore the complete implementation of the Speech emotion recognition project.

Face Recognition with Python :

Identify and recognize a person in the live real-time video. Get the entire source code of the face recognition project.

Gender and Age Detection Project:

In this data science project we introduce you to Computer Vision and its principles. We’ll develop a Convolutional Neural Network and use models trained by Tal Hassner and Gil Levi for the Adience dataset. We’ll utilize some .pb, .pbtxt, .prototxt, and .caffemodel files along the way.

Get to know the practical implementation and source code of gender and age detection project.

Movie Recommendation System Project:

In this data science project, we’ll use R to accomplish a movie recommendation through machine learning.

A recommendation system gives suggestions to users through a filtering method based on other users’ preferences and browsing records. If A and B like Home Alone and B likes Mean Girls, it can be recommended to A – they might like it too. This keeps clients engaged with the platform.

Explore the entire implementation of the movie recommendation system project with source code.

Deep Learning Project – Colorize Black & White Images with Python:

This Deep Learning Project aims to provide colorizing black & white images with Python.

In image colorization, we take a black and white image as input and produce a colored image. We will solve this project with OpenCV deep neural network.

Get the complete implementation and source code of colorizing black and white project with python.

Advanced data science projects

Image Caption Generator Project:

It is a tough task for computers to recognize what is in the image and then generating the description in Natural language like English is another tough task.

This Data Science project uses deep learning methods where we perform a Convolutional neural network (CNN) with Recurrent Neural Network( LSTM) to develop the image caption generator.

Check the complete implementation of the Image Caption generator project.

Credit Card Fraud Detection Project:

In this Data Science project, we’ll practice R with algorithms like Decision Trees, Logistic Regression, Artificial Neural Networks, and Gradient Boosting Classifier. We’ll practice the Card Transactions dataset to analyze credit card transactions into fraudulent and genuine. We’ll provide various models and plot performance curves for them.

Save the world from this fraud and learn to implement the Credit card fraud detection project.

Driver Drowsiness Detection Project:

In this Python Data Science project, we will develop a system that can identify sleepy drivers and also inform them by beeping alarm.

This project is developed using Keras and OpenCV. We will use OpenCV for face and eye detection and with Keras, we will analyze the state of the eye (Open or Close) practicing Deep neural network techniques.

Drowsy driving is very dangerous, Learn to implement driver drowsiness detection project (source code included)

Still Hungry??

Explore 70+ Machine Learning Datasets & Project Ideas – Work on real-time Data Science projects.

You are all set to rock!

Happy learning!

Top Reasons behind enormous demand for python across the globe.

shivashish thakur — Tue, 19 May 2020 12:24:35 +0000

Let’s start this with the most famous website that is Stack Overflow

According to Stack Overflow’s annual software developer survey, Python is the most desired programming language and tagged in 1,188,566 questions. This displays an amazingly robust and active association for current and aspiring Python developers.

Now let’s understand the basic points behind the python popularity:

Data Science

Python includes a special position in the hearts of Data Scientists compared to any available language, such as R or C++.

Data science combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract essential insights from data.

With easy usage and a huge set of libraries and frameworks, python has stood up to be the first choice for data scientists.

Learn everything about Data science by our industry experts.

Python libraries and frameworks that are popular in the data science field are:

Pandas (Data analysis)
Numpy (Numeric and scientific calculations)
Matplotlib, Seaborn (Data visualizations)
Scikit-learn (Machine learning)
Tensorflow, Keras (Machine and Deep learning )

Machine Learning

Machine learning is a kind of artificial intelligence (AI) that gives computers the ability to learn without being explicitly programmed. Machine learning focuses on the development of Computer Programs that can change when exposed to new data.

The current choice of the developers is Python over anything else for machine learning.

To improve your machine learning knowledge Go through Machine Learning Tutorial – All the Crucial Theories in Single Tutorial.

Deep learning

Deep learning is the most exciting and powerful machine learning technique right now.

Top deep learning libraries are available on the Python ecosystem like Keras and TensorFlow.

Explore an amazing Deep Learning Project – Colorize Black & White Images with Python.

Web Development

Python supports several excellent libraries and frameworks, e.g. Flask and Django, which make web development easy. After choosing Python some of the product based platforms have become the most generous leads like YouTube, Instagram, Facebook, Google, Netflix, and Spotify.

Discover Top 21 Python Web Frameworks to Learn in 2020.

Don’t forget to discover the Top 27 Python Django Project Ideas – Master Web Development with Python

Simplicity

Single yet the greatest reason for novices to learn Python. Whenever you decide to begin studying programming and coding, you don’t want to start with a programming language that is complicated in syntax and tough with commands.

Python is known for its simplicity and is one of the easiest programming languages to learn.

Huge Community and demand

Mostly choice is community inspired and when to learn something new you need a community and supporters which help as your biggest asset. Thanks to Google, many solutions to a single Python-related difficulty can be found out in minutes. With the progression of time, learning python has shifted the current “cool” in the programming community.

Libraries and Frameworks

Not just a framework but it has got an “excellent framework”. Django and flask are the obvious champions when python’s frameworks are considered.

Jobs and Growth

Learning Python is the greatest investment you can make today.

Python is evolving as fast as it seems that everyone is using python. So, it makes a lot of sense to study a growing programming language – Python. As fast the huge number of python users are growing, the language is becoming more and more successful.

Are you a fresher? Discover how to get a job being a fresher?

Check the latest python interview questions of 2020 to rise your career in this growing field.

Salary

Last but most powerful – money gossips! The salary keeps every individual going. Python developers have the highest-paid jobs available. Especially in the fields of data science, machine learning, and web development, these jobs glow. Though much of the parts according to it are also reliant upon experience, location, and area of specialty.

Connect to our Free Python Tutorial series which covers the list of topics that you should learn if you want to master Python.

Hoping for your bright career!

Keep learning! :)

Step by Step guide to learn Python from scratch

shivashish thakur — Fri, 15 May 2020 09:23:52 +0000

PYPL (PopularitY of Programming Language Index) scores Python as the most popular language and also ranks it as the fastest-growing language, based on search engine searches for various programming languages. They say: “Worldwide, Python is the most popular language, Python grew the most in the last 5 years (17.6%).”

By this, we can examine the popularity of the python language.

It’s also one of the languages that I suggest for newcomers to start with.

The best way to learn Python is to understand what you need to learn before you dive in and start learning.

In this article, I distribute the path of learning Python into 6 levels.

My center on this article is for you to be a competent well-rounded programmer so you can quickly get a job at any tech organization that you prefer.

Let’s get started.

Step 1: Learn What Python Is & What It’s Used For.

Python is a high-level, very versatile programming language that can be used for anything that doesn’t need a specific language. These characteristics have managed to Python becoming popular throughout the world. It is used in various fields, including:

Step 2: Enroll In An Online Course

Online courses are often undervalued stock with unimaginable power. In the modern world, it isn’t required to go to university and complete a computer science program to grow a programmer. I believe that online courses are a much better way to study Python programming.

The interactive quality of the course provides you to compose code directly in your web browser, and this further enhances the learning process.

Enroll now for Python Developer Training Course

Step 3: Work, Work, and Work

To install Python on your system you will need to operate your way to the Python downloads page. The primary thing that you will regard is that there is a number of distinctive versions possible. To discover the language and get intimate with its main syntax, all you need to do is download the latest version. Understand your computer’s prompts and install Python like you would any additional program.

Learn the proper installation of python on your computer.

Congratulations, now you’re set to jump onto the subsequent step!

Step 4: Discover Frameworks and libraries:

If you’re willing to becoming a Python developer, you should start getting intimate with frameworks.

Some common python Web Frameworks are:

Django
Flask

Some popular Python libraries are:

These are just a few of the most well-known Python frameworks. You don’t have to discover every highlight of all of the most common frameworks while you’re discovering Python. Alternatively, make sure that you’re accustomed to them, with what they are used for, and with their main points.

Step 5: Rise Your Projects

In my experience, one of the best ways to discover Python is through studying what you previously know by composing your programs. Developing easy programs.

Projects For Practice:

Typing Speed Test – Build your first game in Python
Tic Tac Toe – ‘Coz being old school is the new cool
Image Classification
Real-time Face Recognition with Python
Fake News Detection project
Parkinson’s Disease Detection project
Color Detection project
Face Recognition and identification
Speech Emotion Recognition project
Breast Cancer Classification project
Age and Gender Detection project
Chatbot project
Driver Drowsiness Detection project
Traffic Signs Recognition project
Image Caption Generator project
News Aggregator App project
Handwritten Digit Recognition project

Step 6:Make your gateway in the python industry and see your future shine.

Python Career Opportunities – Which one will you prefer?

How to get a Job in Python as a Fresher? The important steps you must follow!

How to create a perfect Python Resume – Let your resume talk!

Last words…..

Learning a new programming language can be difficult. However, this step-by-step guide has been thoughtfully planned to help you determine the best way to learn Python for your requirements. Finally, I’ve proposed you to some of the greatest ways to fast track your learning progress.

Last but not least ….

To fasten up your training process don’t miss the Python cheat sheet.

Overall, remember to have enjoyable coding!

An interesting connection between Netflix and python

shivashish thakur — Thu, 14 May 2020 12:18:50 +0000

Streaming giant Netflix has shown how it is gaining the most of the versatile programming language Python.

Wondering what Netflix is all about?

Netflix, being a $12 billion designated entertainment company with over 148 million paid memberships in over 190 nations that experience TV series, documentaries and art films across a wide diversity of genres and languages. So you can view as much as you want, anytime, anyplace, on any Internet-connected screen. You can play, pause, and resume watching, all without any commercial or any duty!

Let’s understand how Netflix uses python as its major programming language which is so popular among almost the entire world.

"We use Python through the full content lifecycle, from deciding which content to fund all the way to operating the CDN that serves the final video to 148 million members," writes Netflix engineers in a blog post.

If you're fascinated in discovering out more about Python, check out the Best guide for studying Python with code examples.

Let’s take a dive into how Netflix uses python….

Operations

"We are proud to say that our team's tools are built primarily in Python," the team addresses.

Tools used by the team add:

NumPy and SciPy to implement numerical analysis
Boto3 to make additions to AWS infrastructure
rq to work asynchronous workloads
Flask APIs are used as a wrapper about the orchestration tools raised.

Statistical analysis

Netflix's CORE team practices many Python analytical and mathematical libraries, also adding NumPy, SciPy, ruptures, and Pandas, which help examine thousands of signals.

Read about Python Libraries in detail.

Information Security

To mention a few important leverages aimed for Netflix: security automation, risk classification, auto-remediation, and vulnerability identification — all performed practicing Python.

Machine Learning Infrastructure

Group of machine learning training models from recommendation algorithms to artwork personalization to marketing algorithms, Netflix relies broadly on full of these in Python.

Discover everything regarding Machine Learning at a single site – Free 100+ Machine Learning tutorials.

Notebooks

Several elements of the balancing service are composed in Python. Starting with scheduler, which practices Jupyter Notebooks with a papermill to produce molded job types like Spark. This supports users to have a simple way to represent work that requires to be performed.

Partner Ecosystem

The Partner Ecosystem collection is increasing its usage of Python for testing Netflix applications on devices. Python is the core of a new CI infrastructure, including balancing servers, controlling Spinnaker, test case questioning and filtering, and scheduling tests work on devices and containers.

Netflix Animation and NVFX

Python is the industry figure for all of the main applications practiced to produce Animated and VFX content.

Not only Netflix but many important companies are also practicing Python.

What are you expecting? When will you begin practicing it?

Begin studying Python by Yourself NOW!!

All the Best!

Keep learning!

How to become a python developer [with 17 real-time projects]

shivashish thakur — Tue, 12 May 2020 11:22:32 +0000

According to the 2019’s StackOverflow’s Developer Survey, Python is the 2nd most loved programming language in the world.

The average salary of a Python developer in India with 2 to 4 years of experience is around ₹9 LPA.

Rising out in the journey to becoming a python developer, you must take a structured plan to master all your skills.

Below is the list for the same:

Beginning with Python fundamentals, you must understand all these basic concepts which are like support for any programming language.

After studying these concepts you can pick a career path for yourself and similarly work to master all the skills needed to complete your goal.

Acquire knowledge of Web Frameworks:

Django
Flask

Acquire knowledge of Python libraries:

After learning any new skill in programming, you must perform it in a project, I have listed a few projects below which you can use for practice.

Projects For Practice:

Want to work on more projects?

Get several unique project ideas

Now as you are well-prepared let’s talk about how to enter the Python industry:

Want to speed up the learning process?

Enroll in the python certification course

You are all set to rock!!

All the Best!

Essential resources for immediate Python programmers

shivashish thakur — Tue, 05 May 2020 12:56:34 +0000

"Python has been an important part of Google since the beginning and remains so as the system grows and evolves. Today dozens of Google engineers use Python, and we're looking for more people with skills in this language," said Peter Norvig, director of search quality at Google, Inc.

It’s really an excellent language for novices!

Real-life case studies:

You are ready to rock the python industry:

Well, Python is a beautiful language and I wish that you get all the essential resources in this article.

- A fairly pythonic cheat sheet about Python programming language

Happy learning!

5 python features I wish I had known earlier

shivashish thakur — Tue, 28 Apr 2020 05:58:49 +0000

There are several helpful concepts in Python that I knew about from the origin: such as generators, iterators, context managers, and so on, but there are many features that are not obvious until you met them. I essentially use Python 2.6-2.7 for writing small cross-platform (including windows) text processing console utilities, and here are several of my favorites.

MEMORIZATION:

One can take the guidance of the functional programming technique in Python and build memorizers [like the one below], which could probably take any recursive function as an input and return a memoized version of it, which makes the code to run significantly quicker.

def memoize(f):
def memf(*x):
if x not in memf.cache:
memf.cache[x] = f(*x)
return memf.cache[x]
memf.cache = {}
return memf

This can be called as follows:

recursive_function = memoize(recursive_function)

And viola, the recursive_function is now memorized.

LIST COMPREHENSIONS:

lst = [ i*i for i in xrange(10)]

Compare this with the one below

lst = []
for i in xrange(10):
lst.append(i*i)

LAMBDAS, MAP, REDUCE AND FILTERS:

These features add to the richness of the language.

square = lambda x:x**2
map(square,[1,2,3]) ## returns [1, 4, 9]
is_divisible_by_3 = lambda x:x%3==0
filter(is_divisible_by_3,[1,2,3,4,5,6]) ## returns [3,6]
reduce(min,[1,2,3,4,5,6]) ## returns 1, you can as well use min([1,2,3,4])

GENERATORS:

Ever required to iterate over a very wide collection of items like your linux file-system tree. Generators make life more comfortable for you.

This is an easy code snippet that uses walk function from the os module and prints out all files and directors available starting from the root directory. os.walk() is a generator function which supplies the following item to be iterated upon freezes its context and goes into a suspended state, the next time when the next iteration is to be performed it supplies the next item and goes back into the frozen state again until when all items are utilized, in which instance it returns a StopIteration exception.

path = "/home"
for files os.walk(path):
print files

DEBUGGER:

Python gives a pdb module, an simple to use, and extremely helpful debugger.

Just type import pdb; pdb.set_trace() to set a breakpoint wherever in your code.

Explore more python projects and get your concepts clear.

Top 10 interesting projects for python beginners

shivashish thakur — Sat, 25 Apr 2020 10:45:54 +0000

Python is one of the most successful programming languages currently. It looks like this trend is about to proceed in 2020 and ahead. So, if you are a Python beginner, the most essential thing you can do is operate on some real-time Python project ideas or topics.

So, here are some Python Project approaches which beginners can operate on:

Tic Tac Toe
Number Guessing
Dice Rolling Simulator
Typing speed test
Email Slicer
Binary search algorithm
Desktop Notifier App
Python Story Generator
YouTube video downloader
Python Website Blocker
Calculator
Countdown Clock and Timer
Random Password Generator

Explore more interesting python project ideas

You are very close to your goals.

All the best!

Top Technology Telegram Channels for IT professionals

shivashish thakur — Thu, 09 Apr 2020 08:05:14 +0000

Telegram Channel - Your best friend to learn the latest cutting-edge technologies like Python, Machine Learning, Data Science, Big Data and many more.

List of Top Technology Telegram Channels

DataFlair - Get updates on latest cutting-edge technologies
Python Telegram Channel - Work on Python practicals & live projects
Data Science Telegram Channel - Learn Data Science with the projects
Machine Learning Telegram Channel - Master ML concepts with real-time practicals
Big Data Telegram Channel - Learn Apache Hadoop, Spark, Kafka
R Programming Telegram Channel - Become a Data Scientist with R

There are a huge 2.2 million and 2.8 million apps available for download on the Apple App Store and Google Play Store respectively. And the number of apps that are really helpful and productive for a person would barely be in hundreds only.

For me, the most productive app has been Telegram. Its amazing learning Telegram channels have taken my career to a whole new level.

If you are looking for a boost in your career join these Telegram channels and start learning new technologies

11 astonishing concepts of python

shivashish thakur — Sat, 04 Apr 2020 13:09:19 +0000

Hey, you are at the right place if you want to learn the most important concepts of python. So, without any further delay let's get a dive into it…..

Many programming languages come and go, but only the strong one survives in the industry. Yes, we are talking about python! It is constantly rising in the industry and has proved to be known as one of the top programming languages in the world right now.

Python ranked #1 on the IEEE Spectrum list of top programming languages for 2019.

Top organizations of the world like Dropbox, Google, Quora, Mozilla, Hewlett-Packard, Qualcomm, IBM, and Cisco have shown faith in python.

According to Stack overflow python is the most popular language in 2020

As a Python expert, I believe that there are certain vital concepts or facts that every Python developer should know. All these were necessary concepts within the time I learned using Python as my foremost programming language.

Let’s get started with 11 concepts of Python you must learn….

Operators

Operators are special symbols that carry out operations on operands.

Let's explore arithmetic and assignment operators :

Arithmetic operators are used to performing mathematical operations like addition, subtraction, multiplication, etc.

For example:

x = 14

y = 4

# Add two operands

print('x + y =', x+y) # Output: x + y = 18

# Subtract right operand from the left

print('x - y =', x-y) # Output: x - y = 10

# Multiply two operands

print('x * y =', x*y) # Output: x * y = 56

# Divide left operand by the right one

print('x / y =', x/y) # Output: x / y = 3.5

Assignment operators are used to assigning values to variables. Let's try some more assignment operators.

For example:

x = 5

# x += 5 ----> x = x + 5

x +=5

print(x) # Output: 10

# x /= 5 ----> x = x / 5

x /= 5

For detailed knowledge visit Python Operators and learn about all operators in detail.

More about String

A Python string is a sequence of characters.

Python doesn’t have the char data-type as C++ or Java does

You can declare a Python string using either single quotes or double-quotes.

>>> a='python is love'
>>> print(a)

Python is love

>>> a="python is love"
>>> print(a)

Python is love.

know more about strings and different types of strings.

3. Python Iterators

A Python iterator returns us an iterator object- one value at a time. Let’s take an example of an iterator in python.

>>> iter_obj=iter([3,4,5])

>>> next(iter_obj)

Traceback (most recent call last):

File “<pyshell#560>”, line 1, in <module>

next(iter_obj)

StopIteration

For more details, check our Python Iterator tutorial.

4. Python loops

When you want some statements to execute a hundred times, you don’t repeat them 100 times. Think of when you want to print numbers 1 to 99. Or that you want to say Hello to 99 friends. In such a case, you can use loops in python.

Here, we will discuss 4 types of Python Loop:

Python For Loop
Python While Loop
Python Loop Control Statements
Nested For Loop in Python

Study all about “Loops” which consists of detailed information regarding For Loop, Python While Loop, Python Loop Control Statements, and Nested For Loop in Python with their subtypes, syntax, and examples.

5. Python constructors

Python Constructor in object-oriented programming with Python is a special kind of method/function we use to initialize instance members of that class. We can also use it to ensure we have enough resources. Whenever we create an object of that class, the constructor definition is the first to execute.

Let's learn more about python constructor.

6. Python exception handling

Python has many built-in exceptions that force your program to output an error when something in it goes wrong. When these exceptions occur, it causes the current process to stop and passes it to the calling process until it is handled. If not handled, our program will crash.

For example, if function A calls function B which in turn calls function C and an exception occurs in function C. If it is not handled in C, the exception passes to B and then to A.

If never handled, an error message is spit out and our program come to a sudden, unexpected halt

Let’s understand more about python exception handling.

7. Lambda Functions

Lambda functions are referred to as unknown functions. It fits for easy operations.

def say_hello():

return "hello"

#or

say_hello = lambda:"hello"

8. Python regular expression

Python regular expression is a sequence of characters that defines a search pattern.

In Python Regex tutorial, you will learn the basics of regular expressions in Python.

9. Python functions

Python function in any programming language is a sequence of statements in a certain order, given a name.

Know about different types of functions in Python: Python built-in functions, Python recursion function, Python lambda function, and Python user-defined functions with their syntax and examples.

1O. Data Structures: List, Set, Dictionary

There are quite a few data structures available. The builtins data structures are lists, tuples, dictionaries, strings, sets, and frozen sets.

Lists are enclosed in brackets:

l = [1, 2, "a"]

Tuples are enclosed in parentheses:

t = (1, 2, "a")

Tuples are faster and consume less memory.

Dictionaries are built with curly brackets:

d = {"a":1, "b":2}

Learn more about data structures.

11. Python Decision Making Statements – Python If, If-else, Nested Statements

Sometimes, in a program, we may want to make a decision based on a condition. We know that an expression’s value can be True or False. We may want to do something only when a certain condition is true. For example, assume variables a and b. If a is greater, then we want to print “a is greater”. Otherwise, we want to print “b is greater”. For this, we use an if-statement. Also, operators come in handy when you want to join conditions to make a composite one.

Study in-depth about python decision making.

Learning doesn’t have any limits.

Learn python through the master guide.

So there are always endless topics that you will find about programming. But if we talk about some of the important concepts that you need to cover about python are covered in this article.

Thank You!

Happy- learning…….