PythonInformer ebooks

By Martin McBride, 2020-04-18

Categories: book


Python ebooks from the author of PythonInformer.com.

Image Processing in Python

Buy now or download a free preview from Leanpub.

Pillow is the most popular Python image processing library. It provides many of the features found in imaging applications like Photoshop or GIMP, such as loading, saving, resizing, transforming images, as well as converting colours and applying filters, enhancements, and effects. This book will teach you how to use simple Python code to automate these functions using the Pillow library, so that your programs can incorporate advanced image processing. It provides a comprehensive guide to Pillow, in plain language and with lots of examples.

Python Quick Start

Buy now or download a free preview from Leanpub.

Python is an extremely popular language, and is an excellent choice for first time programmers, because it is simple to get started with, but extremely powerful once you get to know it. Python in the language of choice for machine learning and web development, but is can also be used for anything from system scripts to games to desktop applications. It is also embedded in many existing applications to provide a scripting mechanism, which can be used to automate many applications such as Paintshop or Blender.

This book will help you learn Python whether you are a complete beginner or you already have experience programming in other languages. It teaches all the core features of the language, step by step, with example code.

Numpy Recipes

Buy now or download a free preview from Leanpub.

NumPy Recipes takes practical approach to the basics of NumPy

This book is primarily aimed at developers who have at least a small amount of Python experience, who wish to use the NumPy library for data analysis, machine learning, image or sound processing, or any other mathematical or scientific application. It only requires a basic understanding of Python programming.

Detailed examples show how to create arrays to optimise storage different types of information, and how to use universal functions, vectorisation, broadcasting and slicing to process data efficiently. Also contains an introduction to file i/o and data visualisation with Matplotlib.

Computer Graphics in Python with Pycairo

Buy now or download a free preview from Leanpub.

The Pycairo library is a Python graphics library. This book covers the library in detail, with lots of practical code examples.

PyCairo is an efficient, fully featured, high quality graphics library, with similar drawing capabilities to other vector libraries and languages such as SVG, PDF, HTML canvas and Java graphics.

Typical use cases include: standalone Python scripts to create an image, chart, or diagram; server side image creation for the web (for example a graph of share prices that updates hourly); desktop applications, particularly those that involve interactive images or diagrams.

The power of Pycairo, with the expressiveness of Python, is also a great combination for making procedural images such as mathematical illustrations and generative art. It is also quite simple to generate image sequences that can be converted to video or animated gifs.

Functional Programming in Python

Buy now or download a free preview from Leanpub.

Python's best kept secret is its built in support for functional programming. Even better, it allows functional programming to be blended seamlessly with procedural and object oriented coding styles. This book explains what functional programming is, how Python supports it, and how you can use it to write clean, efficient and reliable code.

The book covers the basics of functional programming including function objects, immutability, recursion, iterables, comprehensions and generators. It also covers more advanced topics such as closures, memoization, partial functions, currying, functors and monads. No prior knowledge of functional programming is required, just a working knowledge of Python.

If you found this article useful, you might be interested in the book NumPy Recipes or other books by the same author.

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