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Python(x,y) 9.0.1 freeware
... experience. It offers a rich toolkit for data analysis, scientific computing, and machine learning, featuring an intuitive ... interactive data visualization. With its seamless integration of code execution, documentation, and rich media, IPython empowers users to explore and prototype ideas efficiently, making it an esse ... ...
| Author | IPython development team |
| Released | 2025-03-03 |
| Filesize | 573 kB |
| Downloads | 703 |
| OS | Windows All |
| Installation | Instal And Uninstall |
| Keywords | Application Development, Python Development, Develop Application, Development, Python, Developer, Develop |
| Users' rating (21 rating) |
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| 9.0.1 | Mar 3, 2025 | New Release | (optional) LLM integration in the CLI. Complete rewrite of color and theme handling, which now supports more colors and symbols. Move tests out of tree in the wheel with a massive reduction in file size. Tips at startup Removal of (almost) all deprecated functionalities and options. Stricter and more stable codebase. |
| 9.0.0 | Feb 28, 2025 | New Release | (optional) LLM integration in the CLI. Complete rewrite of color and theme handling, which now supports more colors and symbols. Move tests out of tree in the wheel with a massive reduction in file size. Tips at startup Removal of (almost) all deprecated functionalities and options. Stricter and more stable codebase. |
| 8.32.0 | Feb 24, 2025 | New Release | Medium release of IPython for this end of January and this new year 2025. This is now a different branch than the main branch, and will only accumulate bugfixes and small improvements and requested backports, while 9.0 forges ahead. We’ll not 4 bugfixes and an and unstable preview feature: PR #14640 Fixes an error were a warning about virtualenvs was incorrectly triggered. PR #14684 Fixes an issue on Python 3.12+ with post mortem debugging. PR #14693 Fixes a bug where magics were ignoring SIGINT PR #14695 Fixes and issue where magics would not display all subprocess output. As a preview feature, look into the examples folder on how to configure autosuggestion using a large language model. This is not yet ready for production use, have only partial documentation and can change without warnings, but should allow you to hook in a Jupyter-ai LLM provider to suggest code in the CLI (currently only via a keyboard shortcut). See PR #14623 for more details until further documentation is available in 9.0. |
