![]() ![]() ![]() ![]() 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 scikit-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: (formerly Anaconda Distribution) is the easiest way to perform Python/R data science and machine learning on Linux, Windows, and macOS. You need to use native Python 2.7 64-bit. For Ubuntu users, do NOT install Anaconda. Use this link Anaconda2-5.0.1-Windows-x8664.exe to download Anaconda Python 2.7 for windows users. To use Gamepads or supported 3D Mouse devices (like the SpaceMouse series from 3D Connexion) the following command is needed to allow the snap package access to the joystick interface. Or install with # snap install openscad-nightly. The open-source Anaconda Individual Edition for Mac Anaconda for MacĪnaconda for Mac 2020 full offline installer setup for Mac ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |