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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 Python 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 courses it is suggested you understand before you attempt this course. If you're having a hard time understanding the material in this course, make sure you understand these prerequisites first.

Learning Resources[edit]

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Common Data Types


Input & Output

PEP Studies 00%
Tkinter 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.
  • Basic Functions - In this lesson, we'll cover local variables, value-passing, and defining functions.
  • Flow Control - By using Boolean expressions, flow control, and loops, you'll learn how to code logic into your program.
  • Objects - Learn to write Class definitions, and inherit from other classes.
  • Libraries - Learn how to use the impressive Python Standard Library.
  • Learning resources - Additional resources for those who want to learn Python, or get better at it.

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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. Braunschweig, Dave. "Wikiversity:Statistics/2014 Projects" (HTML). Retrieved 2015-03-04.