Scientific Computing in Python: Introduction to NumPy and Matplotlib
An introduction to scientific computing in Python using NumPy for numerical arrays and Matplotlib for data visualization.
An introduction to scientific computing in Python using NumPy for numerical arrays and Matplotlib for data visualization.
A technical guide to implementing Principal Component Analysis (PCA) for dimensionality reduction, comparing it with MDA and providing code examples.
A tribute to John Hunter, creator of the matplotlib Python library, reflecting on his impact on scientific computing and open source.
A review of the book 'Matplotlib for Python Developers', covering its content, target audience, and usefulness for scientific plotting.