
Calculus
Functions and limits, squeeze theorem, differentiation, L'Hopital's rule, integration, Riemann sums, chain rule, integration by parts, substitution, and more.

Functions and limits, squeeze theorem, differentiation, L'Hopital's rule, integration, Riemann sums, chain rule, integration by parts, substitution, and more.

Unleash the power of Functional Programming with Python's built in support for function objects, closures, iterators, generators, comprehensions, map-reduce and other features. Covers advanced topics including partial application, currying, functors and monads.

Advanced computer graphics in Python using the Pycairo library. Creates high quality, vector graphics, suitable for all types of graphics, including illustrations, graphs and charts, mathematical diagrams, generative art, and many other applications.

Takes a practical approach to the basics of NumPy, for anyone wishing to use the NumPy library for data analysis, machine learning, image or sound processing, or any other mathematical or scientific application.

A comprehensive guide to image processing in Python. using the popular Pillow library, in plain language and with plenty of examples.

Suitable for GCSE Maths, US grade 9/10, revision notes, lots of questions and fully worked answers for circle theorems (maths, geometry).