![]() ![]() While various methods and tools are available for managing Python environments, CISL recommends using Conda to manage them on NCAR systems. These libraries, which include a collection of Python modules and software, can be installed into a Python environment. Not only is it well-suited for such applications, one of its main strengths is the availability of supported and well-made third-party libraries for many different applications. Python is one of the most popular languages for scientific data analysis, visualization, and machine learning. ![]() Creating Jupyter kernels for your environments. ![]()
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