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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]
GitHub (/ ˈ ɡ ɪ t h ʌ b /) is a proprietary developer platform that allows developers to create, store, manage, and share their code. It uses Git to provide distributed version control and GitHub itself provides access control, bug tracking, software feature requests, task management, continuous integration, and wikis for every project. [8]
In total, it has released more than 100 models as open source, with its models having been downloaded more than 40 million times. [ 8 ] [ 18 ] Fine-tuned versions of Qwen have been developed by enthusiasts, such as "Liberated Qwen", developed by San Francisco-based Abacus AI, which is a version that responds to any user request without content ...
[100] Stack Overflow has included version control in their annual developer survey [101] in 2015 (16,694 responses), [102] 2017 (30,730 responses), [103] 2018 (74,298 responses) [104] and 2022 (71,379 responses). [15] Git was the overwhelming favorite of responding developers in these surveys, reporting as high as 93.9% in 2022.
NumPy (pronounced / ˈ n ʌ m p aɪ / NUM-py) is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. [3]
Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.
GitHub reaches 3.5 million users and 6 million repositories. [1] 31 May: Product: GitHub announces the release of Octokit, a set of client libraries for working with the GitHub API. [75] 15 July: Product: GitHub launches the ChooseALicense.com website to help users choose a free and open-source software license. [76] [77] 15 July: Product
Features include mixed precision training, single-GPU, multi-GPU, and multi-node training as well as custom model parallelism. The DeepSpeed source code is licensed under MIT License and available on GitHub. [5] The team claimed to achieve up to a 6.2x throughput improvement, 2.8x faster convergence, and 4.6x less communication. [6]