ipython-books/cookbook-2nd
IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
This cookbook offers over 100 practical recipes for high-performance numerical computing and data science. It provides step-by-step guidance, taking raw data and computational problems, and showing you how to produce analyses, visualizations, and optimized code. Anyone involved in data analysis, scientific research, or quantitative modeling can use this resource.
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Use this if you need hands-on examples and practical techniques for performing data analysis, scientific computations, and machine learning tasks using Jupyter Notebooks.
Not ideal if you are looking for a conceptual overview without detailed code examples, or if you prefer a different programming environment than Python and Jupyter.
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