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It was used for versions 1.6 and 2.0 of the Python programming language, both released in the year 2000. The Python License is similar to the BSD License and, while it is a free software license , its wording in some versions meant that it was incompatible with the GNU General Public License (GPL) used by a great deal of free software including ...
Since 7 October 2024, Python 3.13 is the latest stable release, and it and, for few more months, 3.12 are the only releases with active support including for bug fixes (as opposed to just for security) and Python 3.9, [55] is the oldest supported version of Python (albeit in the 'security support' phase), due to Python 3.8 reaching end-of-life.
"Keras 3 is a full rewrite of Keras [and can be used] as a low-level cross-framework language to develop custom components such as layers, models, or metrics that can be used in native workflows in JAX, TensorFlow, or PyTorch — with one codebase." [2] Keras 3 will be the default Keras version for TensorFlow 2.16 onwards, but Keras 2 can still ...
The Python Software Foundation License (PSFL) is a BSD-style, permissive software license which is compatible with the GNU General Public License (GPL). [1] Its primary use is for distribution of the Python project software and its documentation. [3] Since the license is permissive, it allows proprietization of the derivations.
The first version of Notebooks for IPython was released in 2011 by a team including Fernando Pérez, Brian Granger, and Min Ragan-Kelley. [2] In 2014, Pérez announced a spin-off project from IPython called Project Jupyter. [ 3 ]
Software versioning is the process of assigning either unique version names or unique version numbers to unique states of computer software. Within a given version number category (e.g., major or minor), these numbers are generally assigned in increasing order and correspond to new developments in the software.
Python 2.6 was released to coincide with Python 3.0, and included some features from that release, as well as a "warnings" mode that highlighted the use of features that were removed in Python 3.0. [28] [10] Similarly, Python 2.7 coincided with and included features from Python 3.1, [29] which was released on June 26
OpenAI has not publicly released the source code or pretrained weights for the GPT-3 or GPT-4 models, though their functionalities can be integrated by developers through the OpenAI API. [38] [39] The rise of large language models (LLMs) and generative AI, such as OpenAI's GPT-3 (2020), further propelled the demand for open-source AI frameworks.