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Sugar is a free and open-source desktop environment designed for interactive learning by children. It was developed by SugarLabs. [2] [3] Developed as part of the One Laptop per Child (OLPC) project, Sugar was the default interface on OLPC XO-1 laptop computers.
A project of Google, it is free and open-source software released under the Apache License 2.0. [2] It typically runs in a web browser, and visually resembles the language Scratch. Blockly uses visual blocks that link together to make writing code easier, and can generate code in JavaScript, Lua, Dart, Python, or PHP.
GCompris was originally written in C and Python using the GTK+ widget toolkit, but a rewrite in C++ and QML using the Qt widget toolkit has been undertaken since early 2014. GCompris is free and open-source software and the current version is subject to the requirements of the AGPL-3.0-only license. It has been part of the GNU project. [3]
[4] [5] It is packaged as an optional part of the Python packaging with many Linux distributions. It is completely written in Python and the Tkinter GUI toolkit (wrapper functions for Tcl/Tk). IDLE is intended to be a simple IDE and suitable for beginners, especially in an educational environment. To that end, it is cross-platform, and avoids ...
The Linux Desktop Testing Project (LDTP) is a testing tool that uses computer assistive technology [7] to automate graphical user interface (GUI) testing. [8] The GUI functionality of an application can be tested in Linux , macOS , Windows , Solaris , FreeBSD , and embedded system environments. [ 9 ]
Snap! is a free open-source blocks-based graphical language implemented in JavaScript and originally derived from MIT's Scratch. Snap! adds the ability to create new blocks and has first-class functions that enables the use of anonymous functions. It is actively maintained by UC Berkeley. The source is entirely hosted on GitHub.
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 ...
The Zen of Python is a collection of 19 "guiding principles" for writing computer programs that influence the design of the Python programming language. [1] Python code that aligns with these principles is often referred to as "Pythonic". [2] Software engineer Tim Peters wrote this set of principles and posted it on the Python mailing list in ...