Introduction to Computation and Programming Using Python | The MIT Press
This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of “data science” for using computation to model and interpret data.
PyQtGraph - Scientific Graphics and GUI Library for Python
PyQtGraph is a pure-python graphics and GUI library built on PyQt / PySide and numpy. It is intended for use in mathematics / scientific / engineering applications. Despite being written entirely in python, the library is very fast due to its heavy leverage of NumPy for number crunching and Qt's GraphicsView framework for fast display. PyQtGraph is distributed under the MIT open-source license. Ba
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GitHub - spyder-ide/qtpy: Provides an uniform layer to support PyQt5, PySide2, PyQt6, PySide6 with a single codebase
