Coming Soon: Package Updates Tensorflow 2.11 Python 3.11 improvements and new features include faster startup times, function annotations such as type hints, asynchronous generators, new string methods, and more! To read the full release notes, refer to Python’s 3.11 release documentation. Python 3.11 has 10-60% speed improvements over Python 3.10.

Python 3.11 support will be available in the main repository, making this one of Anaconda’s biggest releases yet! Python 3.11 features many user-facing and backend improvements that make it easier than ever for practitioners to get projects up and running quickly.

imbalanced-learn relies on scikit-learn and helps users tackle classification problems with imbalanced classes by offering a number of re-sampling techniques.Īdditionally, Anaconda Distribution 2023.03 installer comes with updated top-level packages, including NumPy, SciPy, Matplotlib, pandas, scikit-learn, and more.

This reduces the compute cost, time, and resources required to train a model for various use cases like natural language processing, computer vision, audio classification, speech recognition, and more.

Transformers provides APIs and tools for easily downloading and retraining models.

To strengthen our machine learning package offerings, we have included Transformers and imbalanced-learn with the latest Anaconda Distribution 2023.03 installer. The Anaconda Distribution 2023.03 installer comes with support for Python 3.10 and an updated Anaconda Navigator 2.3.2. We are pleased to announce the upcoming release of the Anaconda Distribution 2023.03 installer, scheduled for March 2023. The upcoming 2023.03 release of Anaconda Distribution includes Python 3.10 and several critical package updates, with more to follow in the coming months.

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