Scientific Visualization: Python + Matplotlib

27 de February de 2022 8 de January de 2022

The Python scientific visualisation landscape is huge. It is composed of a myriad of tools, ranging from the most versatile and widely used down to the more specialised and confidential. Some of these tools are community based while others are developed by companies. Some are made specifically for the web, others are for the desktop only, some deal with 3D and large data, while others target flawless 2D rendering.

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A short tour of Scikit-image library with hands-on code

14 de August de 2020 14 de August de 2020

In this short book, we illustrate some of the core algorithms/functions of this popular Python library for image processing and manipulation tasks, with hands-on code examples.

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SciPy Programming Succinctly

25 de April de 2020 25 de April de 2020

The SciPy library, accompanied by its interdependent NumPy, offers Python programmers advanced functions that work with arrays and matrices. Each section presents a complete demo program for programmers to experiment with, carefully chosen examples to best illustrate each function, and resources for further learning. Use this e-book to install and edit SciPy, and use arrays, matrices, and combinatorics in Python programming.

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Python libraries