Legally Free Computer Books
Foundations of Machine Learning provides a comprehensive introduction to machine learning, suitable as a graduate level textbook or as a reference book for researchers. The book develops the foundations of theory and conceptual tools necessary to understand and justify machine learning algorithms, while covering the core concepts and modern topics in the field. It also discusses practical issues such as using these algorithms. …
The main point of the clean architecture is to make clear “what is where and why”, and this should be your first concern while you design and implement a software system, whatever architecture or development methodology you want to follow. To fully appreciate the book, Clean Architectures in Python – A practical approach to better software design, you need to know Python and be familiar with TDD, in particular with unit testing and mocks. …
One way to master the OO design skill is to do the design and implementation of a large number of classes. Mastery comes from patient, hard work, building software. Building Skills in Object-Oriented Design, V4 guides you through a series exercises to design and build dozens of classes. The goal is to create a large – and reasonably complete – application. You’ll build and test classes, write definitions, and see how the process of software construction works. …
Beyond the Basic Stuff with Python Beyond the Basic Stuff with Python: Best Practices for Writing Clean Code provides a practical guide to leveling up your Python skills beyond syntax and isolated tips. Rather than focusing solely on language features, the book shows how to work like a professional programmer by using the command line and essential tools such as code formatters, type checkers, linters, and version control systems. …
A Practical Introduction to Python Programming blends the approachability of a tutorial with the usefulness of a reference, helping readers get up and running quickly while still providing information they can return to later. It introduces concepts through concise explanations, summary tables, and many short example programs, diving straight into practical work and filling in background details along the way. …
In this fully revised third edition of Automate the Boring Stuff with Python, 3nd Edition, you’ll discover how to use Python to create programs that accomplish in minutes tasks that would otherwise take hours by hand—no prior programming experience required. The early chapters introduce Python’s fundamentals through clear explanations and engaging, practical examples, making it easy to get started and build confidence quickly. …
Architecture Patterns with Python: Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices provides a practical, hands-on guide to proven architectural design patterns that help Python developers manage growing application complexity while maximizing the value of their test suites. …
An Introduction to Statistical Learning with Applications in Python provides a clear, accessible, and less technical overview of the core ideas in statistical learning. Designed for anyone interested in applying modern data analysis tools, the book uses intuitive explanations, full-color graphics, and real-world examples to bring concepts to life. It is suitable for both statisticians and non-statisticians who want to understand and apply state-of-the-art statistical learning methods to real data using Python. …
A Whirlwind Tour of Python is a fast-paced introduction to essential features of the Python language, aimed at researchers and developers who are already familiar with programming in another language. The material is particularly designed for those who wish to use Python for data science and/or scientific programming. …
Non-Programmer’s Tutorial for Python 3 is a tutorial designed to be an introduc- tion to the Python programming language. Originally, this guide is for someone with no programming experience. …