20 Python Packages That Got Major Updates in the Last 6 Months

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Abstract

or some charts.</li><li>requests : Added support for HTTP/3 and improved error handling.</li><li>flask : Added support for ASGI and improved performance for some requests.</li><li>django : Added support for the Django Admin API and improved performance for some queries.</li><li>pytest : Added support for parallel testing and improved the test discovery process.</li><li>poetry : Added support for managing virtual environments and improved the dependency resolution process.</li><li>pipenv : Added support for installing pre-release packages and improved the dependency resolution process.</li><li>ipython : Added support for JupyterLab and improved the notebook interface.</li><li>jupyterlab : Added support for new extensions and improved the performance of some features.</li><li>pytorch : Added support for CUDA 12 and improved the performance of some mo

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dels.</li><li>tensorflow : Added support for the Keras API and improved the performance of some models.</li><li>keras : Added support for new layers and activation functions.</li><li>scikit-image : Added support for new image processing operations and improved the performance of some algorithms.</li><li>opencv-python : Added support for new image processing operations and improved the performance of some algorithms.</li><li>streamlit : Added support for new widgets and improved the performance of some features.</li><li>fastapi : Added support for asynchronous programming and improved the performance of some requests.</li><li>selenium : Added support for new web browsers and improved the performance of some operations.</li><li>beautifulsoup4 : Added support for new HTML tags and improved the performance of some parsing operations.</li></ol></article></body>

These Packages Added New Features and Improved Performance

20 Python packages that have been updated in the last 6 months and include specific new features:

pandas : Added support for Dask arrays and improved performance for large datasets.

scikit-learn : Added support for imbalanced datasets and improved performance for some algorithms.

matplotlib : Added support for 3D plots and improved performance for some charts.

requests : Added support for HTTP/3 and improved error handling.

flask : Added support for ASGI and improved performance for some requests.

django : Added support for the Django Admin API and improved performance for some queries.

pytest : Added support for parallel testing and improved the test discovery process.

poetry : Added support for managing virtual environments and improved the dependency resolution process.

pipenv : Added support for installing pre-release packages and improved the dependency resolution process.

ipython : Added support for JupyterLab and improved the notebook interface.

jupyterlab : Added support for new extensions and improved the performance of some features.

pytorch : Added support for CUDA 12 and improved the performance of some models.

tensorflow : Added support for the Keras API and improved the performance of some models.

keras : Added support for new layers and activation functions.

scikit-image : Added support for new image processing operations and improved the performance of some algorithms.

opencv-python : Added support for new image processing operations and improved the performance of some algorithms.

streamlit : Added support for new widgets and improved the performance of some features.

fastapi : Added support for asynchronous programming and improved the performance of some requests.

selenium : Added support for new web browsers and improved the performance of some operations.

beautifulsoup4 : Added support for new HTML tags and improved the performance of some parsing operations.