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Python for fun is a place for Python enthusiasts, for anything and everything to do with the Python programming language. The content on the site is a combination of blogs, projects, and codes that help students and newcomers in Python programming.

Learning is all about self-exploration. So, we here provide a platform and help them to explore for those who just started their journey.

We share our knowledge here and our experiences to make a successful platform for the enthusiasts out there seeking help just like once we did. We endeavour to prove how programming especially Python can be fun and interesting and all that we could achieve with it.

No. “Python for fun” does not have only Python related content. 

Only the Codes are related to Python, where as the Blogs and Projects are related to Python and also various technical topics.

Register on “Python for fun” and set up an user account. The rest of the details on how to publish Codes, Blogs and Projects will be mailed to you.

Anyone who have in-depth experience and knowledge about the Python programming language and also about other technical topics can publish your work on “Python for fun”.

Python is a programming language that’s both compiled and interpreted. Python source files (.py) are run through a compiler and turned into bytecode files (.pyc), which are then executed in real-time by an interpreter.


This makes Python a high-level language, which means, in practical terms, you don’t have to write as much code to get as much done when compared to lower-level languages, and most Python code can be run on most platforms.


It is still common to start students with a procedural and statically typed language such as Pascal, C, or a subset of C++ or Java. Students may be better served by learning Python as their first language. Python has a very simple and consistent syntax and a large standard library and, most importantly, using Python in a beginning programming course lets students concentrate on important programming skills such as problem decomposition and data type design.


See for a list of projects that use Python. Consulting the proceedings for past Python conferences will reveal contributions from many different companies and organizations.


High-profile Python projects include the Mailman mailing list manager and the Zope application server. Several Linux distributions, most notably Red Hat, have written part or all of their installer and system administration software in Python. Companies that use Python internally include Google, Yahoo, and Lucasfilm Ltd.

As with any programming language, it depends. The more experience you have and the more serious you are about learning, the faster it’ll be. But relatively speaking, it’ll take you less time to learn Python than most other languages.


On average, assuming daily practice, I’d expect 1-2 months for a beginner to start grasping the fundamental concepts of Python and 8-12 months to become proficient. An experienced programmer could probably pick up Python and be comfortably fluent within 3 months.

Yes, Python is completely free and an open source.

One of the best aspects of Python is its community-driven development, which is mainly done through GitHub (for checking out the language’s source code and submitting patches) and IRC (where users can discuss bugs, features, and other Python-related topics).

When he began implementing Python, Guido van Rossum was also reading the published scripts from “Monty Python’s Flying Circus”, a BBC comedy series from the 1970s. Van Rossum thought he needed a name that was short, unique, and slightly mysterious, so he decided to call the language Python.

There are numerous tutorials and books available. The standard documentation includes The Python Tutorial.

Consult the Beginner’s Guide to find information for beginning Python programmers, including lists of tutorials.

So much can be done with Python. Not only is it a fun language, it’s an intensely practical one that’s useful for creating all kinds of scripts and software.


Overall, Python is used in web development, data analysis, microcontrollers, machine learning, game development, utility scripts, and rapid prototyping of software that will eventually be implemented in other languages.

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