Why use Python? : Advantages and features of Python

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Python is a general-purpose language, which means you can build anything with the right tools and libraries. It is a dynamic, object oriented and multipurpose programming language which is designed to be easily learn, use, and to enforce a clean and uniform syntax.

Professionally, Python is great for backend web development, data analysis, artificial intelligence, and scientific computing. Many developers have also used Python to build productivity tools, games, and desktop apps.

Some of the biggest advantages are

  • Easy to Read & Easy to Learn
  • Very productive or small as well as big projects
  • Big libraries for many things

Some Key Features

 1. Dynamically typed:

No need to ‘type declaration’ of a variable. Instead, you have variable names, and you bind them to entities whose type stays with the entity itself. a=5 makes the variable name ‘a’ to refer to the integer 5. Later, a= ‘hello’ makes the variable name ‘a’ to refer to a string containing “hello”. Statically typed languages would have you declare ‘int a’ and then a= 5 but assigning a= ‘hello’ would have been a compile time error.

2. Strongly typed:

It means that if a = “5”(the string whose value is ‘5’) will remain a string, and never coerced to a number if the context requires so. Every type conversion is explicitly done in Python.

3. Object Oriented with class-based inheritance:

Everything is an object (including classes, functions, modules, etc), in the sense that they can be passed around as arguments, have methods and attributes, and so on.

4. Multipurpose:

it is not specialized to a specific target of users (like PHP for web programming). It has extensible modules and libraries, that hook very easily into the C programming language.

5. Indentation:

There are no control braces in Python. Level of indentation identifies the Blocks of code. Although a big turn off for many programmers not used to this, it is precious as it gives a very uniform style and results in code that is visually pleasant to read.


 Precompiled code is portable between platforms. The code is compiled into byte code and then executed in a virtual machine.

What is Python Programming Language used for?

Users can easily use Python for small, large, online and offline projects. The best options for utilizing Python are web development, simple scripting, and data analysis.

Below are a few examples of what Python will let you do:

Web Development:

You can use Python to create web applications on many levels of complexity. There are many excellent Python web frameworks including, Pyramid, Django, and Flask, to name a few.

Data Analysis:

Python is the leading language of choice for many data scientists. Python has grown in popularity, within this field, due to its excellent libraries including; NumPy and Pandas and its superb libraries for data visualization like Matplotlib and Seaborn.

Machine Learning:

What if you could predict customer satisfaction or analyze what factors will affect household pricing or to predict stocks over the next few days, based on previous years data? There are many wonderful libraries implementing machine learning algorithms such as Scikit-Learn, NLTK, and TensorFlow.

Computer Vision:

You can do many interesting things such as Face Detection, Color detection while using Opencv and Python.

Internet Of Things With Raspberry Pi:

Raspberry Pi is a very tiny and affordable computer for education. It has gained enormous popularity among hobbyists with do-it-yourself hardware and automation. You can even build a robot and automate your entire home. Raspberry Pi can be used as the brain for your robot in order to perform various actions and/or react to the environment. The Possibilities are endless!

Game Development:

Create a video game using module Pygame. Basically, you use Python to write the logic of the game. PyGame applications can run on Android devices.

Web Scraping:

If you need to grab data from a website but the site does not have an API to expose data, use Python to scraping data.

Writing Scripts:

If you’re doing something manually and want to automate repetitive stuff, such as emails, it’s not difficult to automate once you know the basics of this language.

Browser Automation:

Perform some neat things such as opening a browser and posting a Facebook status, you can do it with Selenium with Python.

GUI Development:

Build a GUI application (desktop app) using Python modules Tkinter, PyQt to support it.

Rapid Prototyping:

Python has libraries for just about everything. Use it to quickly built a (lower-performance, often less powerful) prototype. It is also great for validating ideas or products for established companies and start-ups alike.

If you are new to programming, Python is the perfect choice for learning quickly and easily because the community provides many introductory resources.

You can get the detail list of organisations using Python is here

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