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2. File:Python 3.3.2 reference document.pdf - Wikipedia

   en.wikipedia.org/wiki/File:Python_3.3.2...

   This image or media file may be available on the Wikimedia Commons as File:Python 3.3.2 reference document.pdf, where categories and captions may be viewed. While the license of this file may be compliant with the Wikimedia Commons, an editor has requested that the local copy be kept too.

3. File:A Byte of Python.pdf - Wikipedia

   en.wikipedia.org/wiki/File:A_Byte_of_Python.pdf

   You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses ...

4. Codecademy - Wikipedia

   en.wikipedia.org/wiki/Codecademy

   Code Year was a free incentive Codecademy program intended to help people follow through on a New Year's Resolution to learn how to program, by introducing a new course for every week in 2012. [32] Over 450,000 people took courses in 2012, [33] [34] and Codecademy continued the program into 2013. Even though the course is still available, the ...

5. Probabilistic roadmap - Wikipedia

   en.wikipedia.org/wiki/Probabilistic_roadmap

   The probabilistic roadmap [1] planner is a motion planning algorithm in robotics, which solves the problem of determining a path between a starting configuration of the robot and a goal configuration while avoiding collisions. An example of a probabilistic random map algorithm exploring feasible paths around a number of polygonal obstacles

6. Jython - Wikipedia

   en.wikipedia.org/wiki/Jython

   The most recent release is Jython 2.7.4. It was released on August 18, 2024 and is compatible with Python 2.7. [5] Python 3 compatible changes are planned in Jython 3 Roadmap. [6] Although Jython implements the Python language specification, it has some differences and incompatibilities with CPython, which is the reference implementation of ...

7. scikit-learn - Wikipedia

   en.wikipedia.org/wiki/Scikit-learn

   scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...