Free Programming Books

📘 Node.js Notes for Professionals ✍️ Author: Stack Overflow Community 🗓 Year: 2018 📄 Pages: 334 #Nodejs

📘 Annotated Algorithms in Python ✍️ Author: Massimo Di Pierro 🗓 Year: 2021 📄 Pages: 376 🧠 This open book is assembled from lectures given by the author over a period of 10 years at the School of Computing of DePaul University. The lectures cover multiple classes, including Analysis and Design of Algorithms, Scientific Computing, Monte Carlo Simulations, and Parallel Algorithms. These lectures teach the core knowledge required by any scientist interested in numerical algorithms and by students interested in computational finance. #Algorithms

📘 Why Should I Care? ✍️ Author: Veracode 🗓 Year: 2012 📄 Pages: 46 🧠 This book lists 10 simple things that every business user can do to help protect their personal information as well as their company's data, IP and brand when they use their mobile devices at work. #MobileSecurity

📘 Reinforcement Learning ✍️ Authors: Richard S. Sutton, Andrew G. Barto 🗓 Year: 2018 📄 Pages: 548 #ReinforementLearning

📘 Git Notes for Professionals ✍️ Author: Stack Overflow Community 🗓 Year: 2018 📄 Pages: 195 #Git

📘 Graph Databases For Beginners ✍️ Author: Bryce Merkl Sasaki, Joy Chao, Rachel Howard 🗓 Year: 2018 📄 Pages: 46 🧠 In Graph Databases For Beginners, the authors guide readers through the fundamentals of graph technology, assuming little to no prior knowledge. They also share practical tips for those considering a transition to Neo4j. #GraphDatabase

📘 Problem Solving with Algorithms and Data Structures ✍️ Authors: Brad Miller, David Ranum 🗓 Year: 2014 📄 Pages: 240 🧠 This open book is designed to serve as a text for a first course on data structures and algorithms, typically taught as the second course in the computer science curriculum. Even though the second course is considered more advanced than the first course, this book assumes you are beginners at this level. You may still be struggling with some of the basic ideas and skills from a first computer science course and yet be ready to further explore the discipline and continue to practice problem solving. It covers abstract data types and data structures, writing algorithms, and solving problems. It also look at a number of data structures and solve classic problems that arise. The tools and techniques that you learn here will be applied over and over as you continue your study of computer science. #DSA

📘 The Missing Link ✍️ Author: Michael Mendez 🗓 Year: 2014 📄 Pages: 304 🧠 This book provides the developer with an understanding of the various elements of web development by focusing on the concepts and fundamentals through the examples within, providing a foundation that allows easier transition to other languages and a better understanding of how to approach their work. The reader will be introduced to topics in a manner that follows most project development methods, from initial conceptualization and design through front end development, back end development, and introducing additional concepts like accessibility and security, while focusing on responsive design techniques. Each section of the text includes opportunities to practice the material and assess increased knowledge after examining the topics. #WebDevelopment

📘 Git Internals ✍️ Author: Scott Chacon 🗓 Year: 2008 📄 Pages: 121 🧠 This book is aimed at the developer who does not particularly like Subversion, Perforce or whatever SCM system they are currently using, has heard good things about Git, but doesn't know where to start or why it's so wonderful. It is meant to explain Git as simply as possible in a clean, concise, easily readable volume. The goal is to help you understand Git internals as well as usage at a fundamental level by the time you finish this book. #Git

📘 How To Manage a Redis Database ✍️ Author: Mark Drake 🗓 Year: 2020 📄 Pages: 95 🧠 This book aims to provide an approachable introduction to Redis concepts by outlining many of the key-value store's commands so readers can learn their patterns and syntax, thus building up readers' understanding gradually. The goal for this book is to serve as an introduction to Redis for those interested in getting started with it, or key-value stores in general. For more experienced users, this book can function as a collection of helpful cheat sheets and in-depth reference. #Redis

📘 Notes on Randomized Algorithms ✍️ Author: James Aspnes 🗓 Year: 2024 📄 Pages: 539 🧠 It Discusses tools from probability theory, including random variables and expectations, union bound arguments, concentration bounds, applications of martingales and Markov chains, and the Lovász Local Lemma. Algorithmic topics include analysis of classic randomized algorithms such as Quicksort and Hoare's FIND, randomized tree data structures, hashing, Markov chain Monte Carlo sampling, randomized approximate counting, derandomization, quantum computing, and some examples of randomized distributed algorithms.