The book is intended for Python programmers who need to learn about algorithmic problem-solving, or who need a refresher. Students of computer science, or similar programming-related topics, such as bioinformatics, may also find the book to be quite useful.
Easy-to-use and general-purpose machine learning in Python
scikit-learn is a Python module integrating classic machine learning algorithms in the tightly-knit scientific Python world (numpy, scipy, matplotlib). It aims to provide simple and efficient solutions to learning problems, accessible to everybody and reusable in various contexts: machine-learning as a versatile tool for science and engineering.
The Python Hardware Processsor is a implementation of a Hardware CPU in Myhdl. The CPU can directly execute something very similar to python bytecode (but only a very restricted instruction set). The Programcode for the CPU can therefore be written directly in python (very restricted parts of python). This code is then converted by a small python programm to this restricted python bytecode. Since the hardware description is also in python, the slightly modified bytecode is then automatically loaded into the CPU design.
Most “bytecode” instructions are executed in the Hardware CPU with one instruction per cycle. If you have enought hardware available you can simply instantiate more cores on an FPGA with different Programmcode to make them run in parallel.
"Invent Your Own Computer Games with Python" is a free book
that teaches you how to program in the Python programming language. Each
chapter gives you the complete source code for a new game, and then
teaches the programming concepts from the example.
"Invent with Python" was written to be understandable by kids as
young as 10 to 12 years old, although it is great for anyone of any age
who has never programmed before.
This second edition has revised and expanded content, including using
the Pygame library to make games with graphics, animation, and sound.