


Visualize results with Matplotlib, Bokeh, Datashader, and Holoviewsĭirectly from the platform and without involving DevOps, data scientists can develop and deploy AI and machine learning models rapidly into production.Analyze data with scalability and performance with Dask, NumPy, pandas, and Numba.

Develop and train machine learning and deep learning models with sci-kit-learn, TensorFlow, and Theano.Manage libraries, dependencies, and environments with Conda.Quickly download 1,500+ Python/R data science packages.With over 15 million users worldwide, it is the industry standard for developing, testing, and training on a single machine, enabling individual data scientists to: The open-source Anaconda Individual Edition (formerly Anaconda Distribution) is the easiest way to perform Python/R data science and machine learning on Linux, Windows, and macOS.
