position: fixed; top: auto !important; margin-left: 112px;

Python History

After getting convinced with the beauty of Python programming language, in this tutorial we are going to see what can be developed with Python. Short descriptive you should know about python history.

What is python used for will be cleared in this article? Let's begin,

Web Crawler

Currently, the data analysis is a very hot topic in the IT industry. You can develop web crawlers to get data from pure HTML. You can also use some library like 'BeautifulSoup'

Web Development

Make yourself known on Internat by building a website using some python web frameworks, like Django, Flask, Web2Py, Pylons, Zope2, Giotto, CubicWeb, etc.

Data Structures and Classic Algorithms

Using Python's inbuilt data structures, sequencers, containers, and collections you can implement any data structure or algorithm in the most efficient way with very few lines of code and can release it to PyPi to make it available to all the Python programmers around the globe.


You can build your own plugins and release it to the world to benefit all users. Many of the SublimeText plugins are built in Python.


You can create some wrappers for API like Python OAuth library, Facebook Graph API, Locu API. etc and can release it to PyPi to benefit all Python users.

Data Science

Python can be used to do data analysis. You can effectively solve the broad set of data analysis problems using libraries like Pandas, the most popular open-source Python library for data analysis.


Using Python you can implement network protocols like SMTP, FTP, HTTP, etc. You can also build your own HTTP Web Server or load balancer.


You can use Python to implement cryptographic algorithms and to encrypt/decrypt your data with the help of cryptographic techniques like RSA, RC4, DES. etc.

Scientific Computing

Many libraries have been developed for making the life of researchers and scientists easy. With the help of Python libraries like NumPy, SciPy, Matplotlib researchers can focus on their research rather than getting stuck at some scientific/mathematical calculations. Array Programming has been possible in Python after the release of NumPy. Data visualization has never been that easy before the release of Matpltolib.


You can build your own Game bot manually in Python. Isn't it exciting? Making games on your own and entertaining all the users all over the world.

Artificial Intelligence

You can implement many AI algorithms to build your own game, something like, you can implement Alpha-Beta Pruning Search for Tic-Tac-Toe.

Machine Learning

If you have some knowledge of machine learning and artificial neural network, you can implement some algorithms to build yours on Python machine learning library.

Yes, Python does it all and many more to add. Do you know you can also create Mobile Apps using Python?

As you can see Python is a complete programming language, in our next tutorial we will give you little more motivation to learn Python by telling you which companies use Python and will leave you surprised with their well-known products developed in Python.


Who uses Python?

After seeing what can we do with Python, let's see few IT giants who appreciate the beauty of Python and develop extremely useful and user-friendly products/services.


Google makes extensive use of Python in its web search systems.


The popular YouTube video sharing service is largely written in Python.


Bit-Torrent peer-to-peer file sharing system began its life as Python Program.


Netflix and Yelp have both documented the role of Python in their software infrastructures.


Dropbox storage service codes both its server and desktop client-server software primarily in Python.

Raspberry Pi

The Raspberry Pi single-board computer promotes Python as its educational language.


NASA, Los Alamos, Fermilab, JPL, and other use Python for scientific programming tasks.
NASA also uses Python for cryptography and intelligence analysis.

Why Python?

Before getting started you may ask Why Python?

There are already many programming languages out there like C, C++, Java, Ruby, Pearl and so on.

In this tutorial, we will see what makes Python special.

The core philosophy of the language is summarized by the document The Zen of Python (PEP 20), which includes aphorisms such as:

  • Beautiful is better than ugly.
  • Explicit is better than implicit.
  • Simpler is better than complex.
  • The Complex is better than complicated.
  • Readability counts.

Following are the features of Python that makes it an easy-to-learn language for newbies and the most favorite programming language in the stack of expert programmers.

Simple and Easy to Learn

Python is probably the best and easiest language to learn if you are a beginner. While writing code in Python you don't have to worry about declaring the variable first before using it, you don't have to worry about the difference between character, string, and an array of characters, you don't have to compile your code everytime you wanna see the output and a lot more. As our tutorial progresses you will appreciate the beauty of Python.

Free and Open Source

Python is an Open Source Language means one can freely redistribute copies of this software, modify its source code, etc.

High-Level Language

Python is a High-Level Language means you write Python code using English-like statements. So programmer doesn't have to worry about how to write the code. They can instead focus on actual logic. Writing programs in python take less time than in another programming language.

Interpreted Language

Unlike C or C++ or Java, Python is an interpreted language. Interpret language means you don't have to compile and rerun your code each time you want to see the output. A program called Interpreter reads the Python code line by line and spits the current state of the variable on the screen/file if asked to do so. So you just need to fire-up the interpreter and you can actually interact with the interpreter by seeing the output. This means if a programmer needs to change the code, he can immediately see the output. However, this makes python little bit slow as compared to C because it is not running the machine code directly.


Python is a Multi-Paradigm Programming Language. Functional Programming and Object-Oriented Programming paradigm are fully supported and many other features are also supported by python.


Python is a platform independent language that means you can work with Python on Windows, Linux, and Macintosh as well. It is also supported by other platforms like FreeBSD, Solaris, OS/2, Amiga, Playstation, Windows CE, etc.

Easily integrated with other programming languages

Python can integrate with many other programming languages and can be easily embedded in existing applications that need programming interface. It can easily invoke C and C++ libraries, gets easily integrated with Java, .net components, etc.

Following are the different implementations of Python:

  • Cpython is written in C meeting the C89 standards. it translates the Python script into C and makes direct C-level API calls into the Python interpreter.

  • PyPy is a fast just-in-time compiler that brings a significant speed improvement over CPython.

  • Stackless is a regular CPython. What makes it different is that it implements 'micro-threads'. It does not use the C memory stack, thus making it possible to change the order of execution of code. Concurrent programming is possible because of micro-threads that can be serialized and scheduled for execution.

  • Jython is a Python implementation which compiles Python code into Java bytecode which is then executed by JVM.

  • IronPython is the best choice if you want to work the .NET framework. IronPython can be directly integrated into Visual Studio using Python tools for Visual Studio.

  • Skulpt is a Javascript implementation of Python. Some of the notable examples of its use are Interactive Python and CodeSkulptor.

  • MicroPython is a variant of Python3 which is optimized to run on micro-controllers.

After knowing all such features of Python you must be convinced why Python is a programming language in every programmer's stack.

With this, enough motivation to learn Python, lets set up your computer to do some actual Python Programming in our next tutorial.

Previous Next Article


Largest collection of up-to-date tutorials to learn programming languages. We are focused on easy learning. Massive collection of interview questions one may need for preparation.

Social Profile


Copyright 2018. All rights reserved.