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Prior to the roll-out of Python 3, projects requiring compatibility with both the 2.x and 3.x series were recommended to have one source (for the 2.x series), and produce releases for the Python 3.x platform using 2to3. Edits to the Python 3.x code were discouraged for so long as the code needed to run on Python 2.x. [10]
Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of their features support functional programming and aspect-oriented programming (including metaprogramming [ 70] and metaobjects ). [ 71] Many other paradigms are supported via extensions, including design by ...
IDLE (short for Integrated Development and Learning Environment) [ 2][ 3] is an integrated development environment for Python, which has been bundled with the default implementation of the language since 1.5.2b1. [ 4][ 5] It is packaged as an optional part of the Python packaging with many Linux distributions. It is completely written in Python ...
Tynker is an educational programming platform to help children learn coding skills, including game design, web design, animation and robotics. It includes courses in Minecraft Modding, Minecraft Game Design, Creative Coding, Python and CSS. Tynker is based on HTML5 and JavaScript, and can be used in browsers, or on tablet computers or smartphones.
The Biopython project is an open-source collection of non-commercial Python tools for computational biology and bioinformatics, created by an international association of developers. [1] [4] [5] It contains classes to represent biological sequences and sequence annotations, and it is able to read and write to a variety of file formats.
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 ...
Anaconda is a distribution of the Python and R programming languages for scientific computing ( data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. The distribution includes data-science packages suitable for Windows, Linux, and macOS.
Malan is known for teaching CS50, [2] [13] an introductory course in Computer Science for majors and non-majors that aims to develop computational thinking skills, using tools like Scratch, [14] [15] C, [16] Python, [17] SQL, [18] HTML and JavaScript. [19]