Complexity science uses computation to explore the physical and social sciences. In Think Complexity, you'll use graphs, cellular automata, and agent-based models to study topics in physics, biology, and economics.Whether you're an intermediate-level Python programmer or a student of computational modeling, you'll delve int...
Python has become a required skill for data science, and it's easy to see why. It's powerful, easy to learn, and includes the libraries like Pandas, Numpy, and Scikit that help you slice, scrub, munge, and wrangle your data. Even with a great language and fantastic tools though, there's plenty to learn!Exploring Data with P...
Swift is more than just a modern replacement for Objective-C. Ever since going open source in 2015, Swift has evolved into a language that is powerful, modern, and expressive. It's used everywhere from web development to server-side development and cloud-based services! There's a rich, deep world of Swift skills for delivering c...
This book is aimed at readers who are interested in software development but have very little to no prior experience. The book focuses on teaching the core principles around software development. It uses several technologies to this goal (e.g. C, Python, JavaScript, HTML, etc.) but is not a book about the technologies themselves. The read...
When I reflect back on Azure Tips and Tricks a year ago, I was only thinking that I'd write a couple of posts and move on. Fast-forward to today, the collection has grown to over 150+ tips, as well as videos, conference talks, and now an eBook spanning the entire universe of the Azure platform. What you are currently reading is a spe...
The first ever Code Club book is here! With it, you'll learn how to code using Scratch, the block-based programming language. In each chapter you'll find instructions to build cool games, animations, and interactive stories. Your friendly robot guide will aid you step-by-step through each project and give you handy tips along th...
This book helps students to master the material of a standard US undergraduate first course in Linear Algebra.The material is standard in that the subjects covered are Gaussian reduction, vector spaces, linear maps, determinants, and eigenvalues and eigenvectors. Another standard is book's audience: sophomores or juniors, usually wit...
The Coder's Apprentice is a course book, written by Pieter Spronck, that is aimed at teaching Python 3 to students and teenagers who are completely new to programming. Contrary to many of the other books that teach Python programming, this book assumes no previous knowledge of programming on the part of the students, and contains num...
Gone are the days when it was acceptable for a piece of software to live in its own little silo, disconnected from the outside world. Today, services are expected to be available for programming, mixing, and building into new applications. The web-based Application Programming Interface, or API, is how services make themselves available i...
Cloud Computing is enabling many trends in IT today: microservices, pay-as-you-go pricing, and serverless architectures, to name three. The biggest player in the market's Amazon, who offers the most mature cloud systems through their Amazon Web Services (AWS). Other companies are gaining traction as well: Google invests into their Go...
MongoDB is one of the biggest players in the NoSQL database market, providing high performance, high availability, and automatic scaling. It's an open-source document database written in C++ and hosted on GitHub. Zoran Maksimovic's MongoDB 3 Succinctly touches on the most important aspects of the MongoDB database that applicatio...
This book presents direct and concise explanations and examples to many LaTeX syntax and structures, allowing students and researchers to quickly understand the basics that are required for writing and preparing book manuscripts, journal articles, reports, presentation slides and academic theses and dissertations for publication.Unlike mu...
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Des...
This definitive text/reference on computer network and information security presents a comprehensive guide to the repertoire of security tools, algorithms and best practices mandated by the rapidly evolving ubiquitous technology we are increasingly dependent on. Fully revised and updated, this timely new edition encompasses the latest dev...
This book presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, n...
An introduction to the engineering principles of embedded systems, with a focus on modeling, design, and analysis of cyber-physical systems.The most visible use of computers and software is processing information for human consumption. The vast majority of computers in use, however, are much less visible. They run the engine, brakes, seat...
If you're a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering - data structures and algorithms - in a way that's clearer, more concise, and more engaging than other materials.By ...
Want to learn how to program and think like a computer scientist? This practical guide gets you started on your programming journey with the help of Perl 6, the younger sister of the popular Perl programming language. Ideal for beginners, this hands-on book includes over 100 exercises with multiple solutions, and more than 1,000 code exam...
You need more than great dev tools to release great software; you need an efficient pipeline that takes advantage of modern Agile development practices. Serverless platforms like AWS offer the basic building blocks you need to run code, store data, or process streaming information so you can focus on the features you want to provide, not ...
Some people like to believe that all data is ready to be used immediately. Not so! Data in the wild is hard to track and harder to understand, and the first job of data scientists to identify and prepare data so it can be used. To find your way through the data jungle successfully, you need the right perspective and guidance. (There'...
