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Python is a high-level, object-oriented programming language, created by Guido van Rossum in 1991.[1] Python puts readability at a high standard and this makes it great for both programmers and non-programmers to learn. Python is cross-platform, which means you can run it on all major platforms like Microsoft Windows, Linux, and Mac OS X. Python is open source software and, as a result, has a large community of developers who help improve and contribute to the language. Currently, the main implementation of Python, CPython, is managed by the Python Software Foundation, a non-profit organization working to develop and maintain the Python standards.

Python gives you the ability to rapidly develop projects, while being able to maintain them at the same time. Python usually uses less lines of codes than other object-oriented languages, like C++ and Java, and it has a simple and easy syntax. A simple "Hello, world!" can be done with just one line of code (actually this is called a command) and only four lines when recreating it as a GUI!

This course is part of the School of Computer Science. For a complete list of resources, see the Computer Science Course Listing.

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This course was the 47th most visited learning project in 2014!!![2]


Prerequisites are suggested courses that should be completed before taking this course. If you're having a hard time understanding the material in this course, make sure you complete these prerequisites first.

Learning Resources[edit]

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Common Data Types


Input & Output


Object-Oriented Programming

PEP Studies 00%
Tkinter 00%
PyQt 00%
Quizzes 25%


To Be Classified

  • Basic Data Types - Learn the five types: strings, tuples, lists, dictionaries, and integers.
  • Operators - Python operators - basically, ways to do things.
  • Flow Control - By using Boolean expressions, flow control, and loops, you'll learn how to code logic into your program.

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Further Reading[edit]

See Also[edit]


  1. Python Software Foundation. "History and License" (HTML). History and License. Retrieved 2015-03-04. 
  2. "Wikiversity:Statistics/2014 Projects" (HTML). Retrieved 2015-03-04.