DEV Community: Satyam Kumar Verman

10 Fun APIs you must try for your next project

Satyam Kumar Verman — Sun, 25 Aug 2024 07:51:48 +0000

Here’s a list of 10 fun APIs that can add interesting and creative features to your next development project:

1. Giphy API

What It Does: Allows you to search for, retrieve, and embed GIFs and stickers from Giphy's extensive library.
Use Case: Add fun GIF reactions to your chat app, create a meme generator, or build a social media integration that spices up posts with GIFs.

2. NASA API

What It Does: Provides access to NASA's vast collection of data, including images, videos, and information about space missions, planets, and asteroids.
Use Case: Build a space-themed app, display the Astronomy Picture of the Day (APOD), or create a game that uses real NASA data.

3. Spotify API

What It Does: Lets you access Spotify’s music catalog, including albums, artists, playlists, and user profiles.
Use Case: Create a custom music recommendation app, integrate Spotify playlists into a website, or build a party playlist generator.

4. OpenWeatherMap API

What It Does: Provides weather data, including current conditions, forecasts, and historical weather information.
Use Case: Develop a weather app with a twist, such as displaying weather-inspired art or suggesting activities based on the forecast.

5. PokeAPI

What It Does: Offers a comprehensive set of Pokémon data, including details about Pokémon species, abilities, moves, and more.
Use Case: Build a Pokémon-related game, create a Pokédex, or integrate Pokémon data into a trivia app.

6. OpenAI GPT API

What It Does: Access OpenAI's powerful language model to generate text, answer questions, and perform various language tasks.
Use Case: Create a chatbot, generate creative writing prompts, or develop an AI assistant for your app.

7. Open Trivia Database API

What It Does: Provides access to a database of trivia questions from a variety of categories and difficulty levels.
Use Case: Build a trivia quiz app, integrate random trivia questions into your website, or create a multiplayer trivia game.

8. Unsplash API

What It Does: Gives you access to a vast library of high-quality, free-to-use images.
Use Case: Build an image gallery, create a random wallpaper generator, or enhance your website with stunning visuals.

9. CoinGecko API

What It Does: Provides real-time data on cryptocurrencies, including prices, market data, and historical charts.
Use Case: Develop a crypto portfolio tracker, integrate live crypto prices into a financial app, or create a cryptocurrency news aggregator.

10. Twilio API

What It Does: Enables SMS, voice, and messaging services in your applications.
Use Case: Build an SMS notification system, create a voice-powered virtual assistant, or develop an app that sends personalized text messages.

Conclusion

These APIs can add unique and engaging features to your projects, whether you’re looking to incorporate multimedia, enhance interactivity, or provide real-time data. Exploring these APIs can inspire creative ideas and make your next development project more fun and impactful.

JavaScript vs Python ? Final debate !

Satyam Kumar Verman — Sun, 25 Aug 2024 07:46:00 +0000

JavaScript and Python are two of the most popular programming languages, but they serve different purposes and excel in different areas. Here’s a comparison of the two across various aspects:

1. Ease of Learning

Python: Often considered one of the easiest languages to learn due to its simple and readable syntax. It's a great language for beginners.
JavaScript: Slightly more complex to learn, especially when dealing with the quirks of web development and asynchronous programming. However, it's still accessible with the right guidance.

2. Use Cases

Python:
- Web Development: Django, Flask
- Data Science and Machine Learning: Pandas, TensorFlow, Scikit-learn
- Automation/Scripting: Widely used for automating tasks
- Software Development: Often used for backend development
JavaScript:
- Web Development: The dominant language for front-end development (React, Angular, Vue.js)
- Server-Side Development: Node.js allows JavaScript to be used on the server side
- Mobile App Development: React Native, Ionic
- Game Development: Unity scripting (though not as common as C#)

3. Performance

Python: Generally slower than JavaScript because it’s an interpreted language with a global interpreter lock (GIL) that can hinder multi-threaded performance. However, it’s often "fast enough" for many applications, especially when using libraries written in C.
JavaScript: Typically faster in web applications due to the Just-In-Time (JIT) compilation by modern browsers and the asynchronous nature of the language, which is well-suited for handling tasks like I/O operations.

4. Community and Ecosystem

Python: Has a large and active community with extensive libraries and frameworks, particularly in scientific computing, data analysis, and AI.
JavaScript: Arguably has the largest community, given its role in web development. The ecosystem is vast, with countless libraries, frameworks, and tools for front-end, back-end, and even full-stack development.

5. Versatility

Python: Extremely versatile, with strong applications in various domains beyond web development, including data science, automation, and education.
JavaScript: Primarily focused on web technologies, though its versatility has expanded with the advent of Node.js, enabling JavaScript to be used for server-side development and even desktop applications via Electron.

6. Development Speed

Python: Typically faster to develop in due to its simplicity and the availability of high-level libraries that handle complex tasks with minimal code.
JavaScript: Development can be rapid, especially with the vast number of frameworks and tools available. However, JavaScript's quirks and the complexity of front-end development can sometimes slow down the development process.

7. Scalability

Python: Scales well for most applications, particularly in data-intensive areas. However, for large-scale web applications, Python's performance might require optimization or the use of more performant languages for certain components.
JavaScript: JavaScript, especially with Node.js, can scale effectively for high-concurrency applications like chat applications, real-time collaboration tools, and streaming services.

8. Job Market and Demand

Python: High demand in data science, machine learning, AI, backend web development, and automation. Python skills are increasingly valuable across many industries.
JavaScript: Extremely high demand for web developers, particularly those skilled in front-end development and full-stack roles. JavaScript remains essential for anyone entering web development.

9. Long-Term Viability

Python: With its wide range of applications and growing importance in fields like AI and data science, Python is likely to remain a key language for many years.
JavaScript: As the backbone of web development, JavaScript's dominance in the front-end (and increasingly the back-end) is unlikely to diminish.

10. Syntax and Readability

Python: Known for its clean and readable syntax, making it easier to maintain and understand.
JavaScript: More complex syntax, especially with newer features like async/await, ES6 modules, and closures. However, it's still widely used and understood.

Conclusion: Which is Better?

Choose Python if you're interested in data science, machine learning, backend development, or if you're a beginner looking for an easy language to learn. It's also great for rapid development and prototyping.
Choose JavaScript if you're focused on web development (front-end, back-end, or full-stack), mobile app development, or if you need a language with high performance for web-based applications.

Ultimately, the "better" language depends on your specific needs and career goals. Both languages are powerful, versatile, and highly in demand.

Is coding dead in 2024?

Satyam Kumar Verman — Sun, 25 Aug 2024 07:36:52 +0000

Coding is far from dead in 2024. In fact, it's more relevant than ever. While advancements in AI and tools like low-code or no-code platforms have made it easier for non-programmers to create applications, these tools still require a foundational understanding of coding principles, and they can't replace the need for skilled developers.

Here's why coding is still very much alive:

AI and Automation: These technologies actually increase the demand for coding. AI requires developers to build, maintain, and improve algorithms, and automation tools need to be customized and integrated into existing systems.

Complex Problem Solving: Many challenges in fields like data science, cybersecurity, and software development are complex and require deep technical knowledge that only skilled programmers possess.

Customization and Flexibility: While low-code platforms are great for basic applications, businesses often need highly customized solutions that require traditional coding skills.

Emerging Technologies: New fields like quantum computing, blockchain, and advanced AI require cutting-edge programming skills.

Career Opportunities: Coding remains a highly valued skill in the job market, with developers in high demand across various industries.

In summary, while the landscape of coding is evolving, coding itself is far from dead. It’s becoming more integrated into different aspects of technology and remains a critical skill for innovation and problem-solving.

What is ChatGPT and why it's getting so popular?

Satyam Kumar Verman — Tue, 10 Jan 2023 13:39:42 +0000

ChatGPT is a variant of the GPT (Generative Pre-trained Transformer) language model that has been trained specifically for conversational text generation. It is built using the same architecture as the original GPT model, but with a smaller number of parameters and a dataset that is more focused on generating human-like text in response to conversational prompts.

ChatGPT has become popular because it is able to generate human-like text that is coherent and contextually appropriate in a wide range of conversational scenarios. This makes it useful for a variety of applications, including chatbots, virtual assistants, and dialogue systems. ChatGPT is also relatively simple to fine-tune for specific use cases, which has made it easy for developers to create new conversational applications quickly.

Another major reasons of its popularity is the availability of pre-trained models provided by openai on GPT-3 which allowed many user, researcher to try the model on their own data, and having those models fine-tune to their use-cases which was not a case before.

Finally, it is relatively simple to use, as it can be integrated into a variety of different platforms and frameworks with minimal modification, and can be easily fine-tuned using a smaller dataset.

Overall, ChatGPT's ability to generate human-like text, its ease of use and adaptability are the main reasons why it has become so popular among researchers, developers and companies in recent years

Top 5 coding websites in 2021

Satyam Kumar Verman — Mon, 25 Jan 2021 09:26:59 +0000

Hello programmers this is Satyam again back with another awesome blog and in this blog I am going to discuss the best coding sites you need to visit in 2021.So programmers let's get started.

1.Codechef:CodeChef is known as a non-profit educational organization founded by Direct, an Indian software company. You can immediately resolve the issue on their website through their online editor support tool. And depending on your level, choose the challenges listed on the website. Also, its highlight is that you can communicate with other developers if you have difficult questions or answer questions from other developers.The rating system in Codechef is a very slow process and if you want a fast rating system then it's not for you but if you want to practice more then codechef is good for you.

2.Codeforces:It is one of the most popular website for coding and contests are held regularly it it and the rating system of codeforces is pretty fast and the questions are literally difficult.It is maintained by a group of competitive programmers from ITMO University led by Mikhail Mirzayanov. Since 2013, Codeforces claims to surpass Topcoder in terms of active contestants.

3.Hackerrank:Hackerrank is a very interactive website for coding unlike codeforces and codechef the questions are easy and personally I enjoy while using this site for coding because of it's friendly UI.HackerRank's programming challenges can be solved in a variety of programming languages (including Java, C++, PHP, Python, SQL, JavaScript) and span multiple computer science domains.

4.Topcoder:Topcoder is a crowdsourcing company with an open global community of designers, developers, data scientists, and competitive programmers. Topcoder pays community members for their work on the projects and sells community services to corporate, mid-size, and small-business clients.

5.Leetcode:This is another awesome website for coding. There are 800+ questions (and growing), each with multiple solutions. Questions are ranked by level of difficulty: easy, medium, and hard. Similar websites include HackerRank, Topcoder and others.

This article is originally published at:https://www.devtipsntricks.com/2021/01/top-5-coding-websites-in-2021.html?m=1

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Get Phone Number Information using Python

Satyam Kumar Verman — Sat, 17 Oct 2020 14:35:56 +0000

Hello guys this is Satyam,again back with another awesome blog and in this blog I am going to discuss about a module in Python that is called phonenumbers which can be used find out some information about a given phone number such as the Operator Name and the name of the country in which the number is active.

In order to use these module first of all you have to install it using pip package manager because it's not a standard package so you have to install it separately.Type the following command in your terminal or cmd to install this module.

 pip install phonenumber

Python program to get the country name to which phone number belongs:

CODE:
import phonenumbers
from phonenumbers import geocoder
phone_number = phonenumbers.parse("Number with country code")

print(geocoder.description_for_number(phone_number,

'en'))

Python program to get the service/network provider name to that phone number

CODE:
import phonenumbers

from phonenumbers import carrier

service_provider = phonenumbers.parse("Number with country code")
print(carrier.name_for_number(service_provider,
'en'))

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What's New in Python 3.9?

Satyam Kumar Verman — Sat, 10 Oct 2020 10:35:34 +0000

1.Dictionary Update And Merge Operators

The key rule to remember is that if there are any key conflicts then the rightmost-value will be kept. It means that the last seen value always wins. This is the current behavior of other dict operations too.

More Details: https://www.python.org/dev/peps/pep-0584

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2.New Flexible High Performant PEG-Based Parser

The Python 3.9 version is proposing to replace the current LL(1) based Python parser with a new PEG-based parser which is high-performant and stable.
PEP: 617

More details: https://www.python.org/dev/peps/pep-0617

3. New String Functions To Remove Prefix and Suffix

Two new functions/methods have been added to the str object.
The first function removes the prefix. It is str.removeprefix(prefix).
The second function removes the suffix. It is str.removesuffix(suffix).
PEP: 616

More details: https://www.python.org/dev/peps/pep-0616

4. Type Hinting For Built-in Generic Types

Annotating programs have been made simpler in this release by removing the parallel type hierarchy in Python.
The release has enabled support for the generics syntax in all standard collections currently available in the typing module.
We can use the list or dict built-in collection types as generic types instead of using the typing.List or typing.Dict in the signature of our function.
Therefore, the code now looks cleaner and it has made it easier to understand/explain the code.
PEP: 585

More details: https://www.python.org/dev/peps/pep-0585

5.Improved timezone support In DateTime

The module zoneinfo has been created to support the IANA time zone database. This support for the IANA time zone database has been added to the standard library.
Image for post
PEP: 615
IANA time zones are often called tz or zone info. There are a large number of IANA time zones with different search paths to specify the IANA timezone to a date-time object. As an instance, we can pass in the name of the search path as the Continent/City to a datetime object to set its tzinfo.
dt = datetime(2000, 01, 25, 01, tzinfo=ZoneInfo("Europe/London"))
If we pass in an invalid key then zoneinfo.ZoneInfoNotFoundError will be raised.
https://bugs.python.org/issue30966

7.AsyncIO and multiprocessing Improvements

A number of improvements have been made to the asyncio and multiprocessing library in this release.
As an instance,
The reuse_address parameter of asyncio.loop.create_datagram_endpoint() is no longer supported due to significant security concerns.
New coroutines, shutdown_default_executor() and coroutine asyncio.to_thread() have been added. The shutdown_default_executor schedules a shutdown for the default executor that waits on the ThreadPoolExecutor to finish closing. The asyncio.to_thread() is mainly used for running IO-bound functions in a separate thread to avoid blocking the event loop.
With regards to the multiprocessing library improvements, a new method close() has been added to the multiprocessing.SimpleQueue class.
This method explicitly closes the queue. This will ensure that the queue is closed and does not stay around for longer than expected. The key to remember is that the methods get(), put(), empty() must not be called once the queue is closed.
Link: https://bugs.python.org/issue30966

8. Consistent Package Import Errors

The main issue with importing Python libraries prior to the 3.9 release was the inconsistent import behavior in Python when the relative import went past its top-level package.
The builtins.import() raises ValueError while importlib.import() raises ImportError.
It has been fixed now. The import() now raises ImportError instead of ValueError.
For Further Information: https://bugs.python.org/issue37444

9.String Replace Function Fix

Prior to the Python version 3.9, the “”.replace(“”,s,n) returned empty string instead of s for all non-zero n.
This bug confused the users and caused inconsistent behavior in applications.
The 3.9 release has fixed this issue and it is now consistent with "".replace("", s).
The way replace function works is that for a given max replace occurrence argument, it replaces a set of characters from the string by a new set of characters.
string.replace(s, old, new[, maxreplace])
Return a copy of string s with all occurrences of substring old replaced by new. If the optional argument maxreplace is given, the first maxreplace occurrences are replaced.
To further explain the issue, prior to the version 3.9, the replace function had inconsistent behaviour.

10. Random Bytes Generation

Another feature that has been added in the 3.9 release is the function random.Random.randbytes(). This function can be used to generate random bytes.
We can generate random numbers but what if we needed to generate random bytes? Prior to 3.9 version, the developers had to get creative to generate the random bytes. Although we can use os.getrandom(), os.urandom() or secrets.token_bytes() but we can’t generate pseudo-random patterns.
As an instance, to ensure the random numbers are generated with expected behaviour and the process is reproducible, we generally use the seed with random.Random module.
As a result, random.Random.randbytes() method has been introduced. It can generate random bytes in a controlled manner too.
For Further Information: https://bugs.python.org/issue40286

Originally Published at:https://www.devtipsntricks.com/2020/10/whats-new-in-python-39.html

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React vs Angular 2020

Satyam Kumar Verman — Fri, 09 Oct 2020 09:56:38 +0000

Hello guys this is Satyam,again back with another awesome blog and in this blog I am going to compare React and Angular on the basis of my experience while working with these two awesome frameworks.

React was introduced by Facebook which is a very popular social media platform,now why the developers of Facebook created React,before React,we used plain JavaScript in different application and the problem was that whenever you try to visit any section of the page from another then the entire page is actually refreshed that resulted in more time consumption and the problem was solved by React's virtual DOM and now many big application such as Facebook,Instagram and WhatsApp uses React.React is basically a frontend framework and whenever you try to build a large application in it you will need to use another tool or library that is called Redux.On the other hand Angular was Introduced by Google and hence it is popular as a Google Product.Now the story of angular is very confusing,the first version of angular was termed as AngularJS and in the second version of Angular things were drastically changed and altogether it's a new Framework so AngularJS and Angular are two different things.AngularJS is also a frontend framework but it also supports MVC which is a modern pattern of web app development.So Angular is used for creating both the frontend applications or end to end applications.React is actually easy to learn and use than Angular as React has only the concept of Components replaced by the all the major concepts which is really good according to me.Companies like Google and General Motors uses it as their main component.

React is just a simple library and you need other libraries to achieve even some common task like adding routes, writing API calls etc but this is not the case in Angular. Angular comes packed with all basic functionalities. To be honest, it comes down to personal preference and use case. I personally like opinionated frameworks so I liked Angular (even heard good words about Ember) and I like it more than React. In the end I can say that both are good, it's just personal preference.

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Introduction to Python

Satyam Kumar Verman — Tue, 06 Oct 2020 04:12:16 +0000

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Python is an Object Oriented Language developed by Guido Van Rossoum as a replacement of ABC and modula-3 Language.Python was actually developed with a goal to make a programming language whose syntax is very easy to learn and also It is very widely used in the field of AI

Features of Python

It is easy to learn as it's syntax is like plain english.
It is a high level language thus a very-very programmer friendly language.
It is an interpreted language so it is easy to debug for advance or a beginner user .
It is a cross platform language i.e it can be run on Windows,Mac or Linux.
It is free and open source i.e you can use it for free and can also modify it if you are a advance programmer.

Some disadvantages of Python

It is not a fast Language like C or C++.
It has lesser Libraries than other languages like Java and C++.
It's not a type safe language.
Many OOPs feature is not supported directly.

What we can build or do with Python

Currently it is widely used in the field of Artificial Intelligence.
It can be used for developing graphical games using pygame module.
It can be easily integrated to Database Applications.
It is also used for System Administration.
GDscript whose syntax is similar to python is supported by godot game engine.
It is also used for developing Powerful web applications with framworks like Django or Flask.
You can also build awesome Desktop Applications with frameworks like Tkinter,Kivy or PyQt.

What type of Language is Python

Python is an object oriented,interpreted and dynamic language. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development.

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Satyam Kumar Verman — Sat, 03 Oct 2020 08:41:17 +0000

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This question I don't think I need to answer because most of the people are aware with the popularity of Python Programming Language.Very Recently It surpassed Java i.e another great Programming Language To become the fastest growing and currently the most popular Programming Language in the world with More number of Github repositories than that of Java.

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Top projects in Python

Satyam Kumar Verman — Wed, 30 Sep 2020 14:01:16 +0000

Hey guys,this is Satyam and in today's blog I am going to discuss about some of the cool projects which I have built on Python's Libraries such as Tkinter or Pygame and some on selenium and those which are my personal favorite,if you can build all of these you can consider yourself a Good Python Programmer.

1.Hangman game

This is the classic game “Hangman”. The word to guess is represented by a row of dashes. If the player guess a letter which exists in the word, the script writes it in all its correct positions. The player has 10 turns to guess the word. You can easily customize the game by changing the variables.You can either build a console based Hangman game or a GUI based hangman game.

2.Snake Game

This is another awesome project on Python,you can built it using Tkinter or Pygame,this is a very traditional game which is with us from a long time.

3.Rock Paper Scissors Game

I have built this game on the top of the pygame library,believe me you will enjoy building this game,you can either built the console based version of this game or the GUI based version of this game using Tkinter or Pygame Library but I will prefer you to use the Pygame Library.

4.Ludo

This is a awesome board game which four peoples play,so you can built it using the popular pygame library in Python.This is also very easy and enjoyable project in python according to me.

5.Tetris

Tetris is one of the most popular games in the world and According to Wikipedia,[100,000,000] units of Tetris has been sold till now.It was first launched in September 12, 2006.You can easily build a clone of tetris using Python's Pygame Module.

6.File Explorer

File Explorer is a simple application is used to navigate to all the files and folders in your system.You can create a simple File Explorer in Tkinter.

7.Fruit Ninja

Fruit Ninja is a good game for kids,I have already built this game for android actually a clone not my own creation but in this blog we are focusing on desktop apps,so you can built it using pygame but if you want to code it for Desktop,but at the same time if you want to build it for android you can use a python library called Kivy.

8.Speed Typing

This will be a desktop app which will allow us to type a given paragraph and it will measure the time taken by you for typing that paragraph.

9.Library Management

This is a GUI Application which you can built on the top of tkinter library,I have built the same using tkinter,It's on my github repo it's not complete built completely but it will help you to understand:
Project:https://github.com/SkvProgrammer/library-mangement-system-in-python-tkinter

10.Ping Pong Game

Table tennis, also called (trademark) Ping-Pong, ball game similar in principle to lawn tennis and played on a flat table divided into two equal courts by a net fixed across its width at the middle.The game is popular all over the world.This is the project based on Pygame.

11.Pacman Game

Pac-Man is a Japanese video game franchise published, developed and owned by Bandai Namco Entertainment. Entries have been developed by a wide array of other video game companies, including Midway Games, Atari and Mass Media.This is yet another project of Pygame or Turtle module.

12.Calculator

I don't think I need to tell anything about this project,we use calculator in our day to day life.You can build it using the Tkinter Module.

13.Tic Tac Toe

Tic-tac-toe (American English), noughts and crosses (Commonwealth English), or Xs and Os is a paper-and-pencil game for two players, X and O, who take turns marking the spaces in a 3×3 grid. The player who succeeds in placing three of their marks in a horizontal, vertical, or diagonal row is the winner.You can either build a console based version of this game using python or a GUI based version of this game using the tkinter module or the pygame module in Python.

14.Flappy Bird

Flappy Bird is a mobile game developed by Vietnamese video game artist and programmer Dong Nguyen, under his game development company dotGears. The game is a side-scroller where the player controls a bird, attempting to fly between columns of green pipes without hitting them.You can build it using the Pygame module.In youtube we have a channel known as CodeWithHarry that has a playlist where the complete development if this game using Pygame is shown.

15.Currency Converter

Currency converter is a simple application that uses some kind of API to convert different currencies,this project can be easily built on the top of Tkinter library.

16.Instagram Bot

It's not a GUI project,it's a project on automation,So you will need to work with selenium for this project,You can perform every action which you perform while using Instagram such as posting comments,creating new post including the user authentication.

17.Music Player

This is another GUI Project in Python,you can build it using the tkinter Library or WxPython Library.In youtube you can get a tons of videos on development of Music player in Python.

18.Alarm clock

Alarm Clock program in Python: Importing all the libraries and modules required. Putting forward a while loop which takes the argument of the time, the user wants to set the alarm on and automatically breaks when the time is up, with sound.You can use libraries such as tkinter or WxPython for this purpose.

19.Content Aggregator

This is a very new project or term to you.A content aggregator is a site that gathers content from different sources online and puts it in one easy-to-find place. For instance, content aggregator sites gather news stories or blogs from several sources and distribute it to their viewers.

20.Reddit Bot

This is another awesome project of Automation in Python.the previous was Instagram bot,So it's very similar to that project.

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Creating and Deploying a complete Website

Satyam Kumar Verman — Mon, 28 Sep 2020 13:43:41 +0000

Hello guys this is Satyam and in today's blog I am going to discuss the complete procedure to build,deploy and monetize you website or web app.So let's get started.

First of all you need to create a website,you can create it by your own if you have the knowledge of web development or you can hire people that are called Freelancers and they will charge some amount to your task,you should have a good idea of what service your website will provide,is it a Blogging site or a tutoring site,it depends upon you and your idea.If you talk about the things you need to know for Developing a good website or web app are very simple,you need to know about HTML, CSS and JavaScript,these are must for every web developer aspirant.You can very easily create powerful websites using these three technologies but for Developing a web app dedicated to services like e commerce you need to know about Python Frameworks such as Django or JavaScript Frameworks such as Angular or React and if you opt for Java you need to know about frameworks like JSP,Spring and Servlet.You can also learn some CSS libraries or pre processors such as SCSS or LESS.You can also learn Gatsby JS or Bootstrap both are popular CSS frameworks.If you have the knowledge of Web Development you need to know About the idea or niche for which you should create your website.Now let's move on the the deployment section.

If you are creating a static site,you can take the use of Static Web Hosting Services such as Netlify or if you are creating a dynamic web application or site you can chose Shared Linux Web Hosting.Siteground and Hostinger are the learning hosting providers in the market.If you are creating a web app in django you need to use Heroku and please don't use Shared Hosting,you must use Dedicated servers.

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[https://www.siteground.com/index.htm?afcode=4bbbeb6048f7d8fd1efec76817755662]

Monetization of a Web App or Website is very easy nowadays due to availability of services such as Absence,by which you can very easily put ads on your web site and earn some money,you can also make money by sponsoring products on your web page or via your YouTube channel and affiliate marketing is also a good way to make money by your site...

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