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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 ...
PythonAnywhere, an online IDE and Web hosting service. Python Tools for Visual Studio, Free and open-source plug-in for Visual Studio. Spyder, IDE for scientific programming. Vim, with "lang#python" layer enabled. [2] Visual Studio Code, an Open Source IDE for various languages, including Python.
SageMath is designed partially as a free alternative to the general-purpose mathematics products Maple and MATLAB. It can be downloaded or used through a web site. SageMath comprises a variety of other free packages, with a common interface and language. SageMath is developed in Python.
Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last release of Python 2. [37] Python consistently ranks as one of the most popular programming languages, and has gained widespread use in the machine learning community. [38] [39] [40] [41]
The OLPC XO (formerly known as $100 Laptop, [2] Children's Machine, [3] 2B1 [4]) is a low cost laptop computer intended to be distributed to children in developing countries around the world, [5] to provide them with access to knowledge, and opportunities to "explore, experiment and express themselves" (constructionist learning). [6]
One Laptop per Child (OLPC) was a non-profit initiative that operated from 2005 to 2014 with the goal of transforming education for children around the world by creating and distributing educational devices for the developing world, and by creating software and content for those devices.
Both binaries and source code are available for SageMath from the download page. If SageMath is built from source code, many of the included libraries such as OpenBLAS, FLINT, GAP (computer algebra system), and NTL will be tuned and optimized for that computer, taking into account the number of processors, the size of their caches, whether there is hardware support for SSE instructions, etc.
[33] [43] In addition to building and training their model, TensorFlow can also help load the data to train the model, and deploy it using TensorFlow Serving. [44] TensorFlow provides a stable Python Application Program Interface , [45] as well as APIs without backwards compatibility guarantee for Javascript, [46] C++, [47] and Java.