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Flow Architectures
Flow Architectures

Software development today is embracing events and streaming data, which optimizes not only how technology interacts but also how businesses integrate with one another to meet customer needs. This phenomenon, called flow, consists of patterns and standards that determine which activity and related data is communicated between parties over the internet. This book explores critical implications of that evolution: What happens when events and data streams help you discover new activity sources to enhance existing businesses or drive new markets? What technologies and architectural patterns can position your company for opportunities enabled by flow? James Urquhart, global field CTO at VMware, guides enterprise architects, software developers, and product managers through the process. Learn the benefits of flow dynamics when businesses, governments, and other institutions integrate via events and data streams; Understand the value chain for flow integration through Wardley mapping vi ...
Machine Learning for Kids
Machine Learning for Kids

Artificial intelligence (AI) is the ability of computers to simulate human thinking. Machine learning (ML) is one of the building blocks of AI. It's based on the idea that computers can be taught to do things on their own from the data and feedback you give them. Machine Learning for Kids consists of this book and a kid-friendly companion website paired with the educational coding platform, Scratch. Together, they provide an easy-to-use guided programming environment for adding ML capabilities to your own AI projects! As you work through each chapter you'll discover how ML systems can be taught to recognize text, images, numbers, and sounds, and different ways of training ML models to improve their accuracy. You'll turn your models into fun computer games and apps (and see what happens when an AI system gets confused by bad data) while building: - A Rock, Paper, Scissors game that knows your hand shapes; - A smart question-answering chatbot; - A computer character that reacts ...
The Coding Workbook
The Coding Workbook

This beginner-friendly introduction to web development enables anyone to build a website by writing out code by hand - no computer or internet required. It's a fun, hands-on approach to coding that teaches the basics of using the HTML and CSS programming languages (the language of web pages). You write the code in the pages of your workbook and then draw what it would look like in a web browser. Teachers: This has everything you need to teach an introductory web development class, and the pages are perforated! Students: Learn the basics of HTML and CSS to build your own custom website! Once you've finished the workbook you'll have the skills to easily build and launch a website. It's that easy! This exercise-filled workbook is packed with illustrations and progress quizzes, making it perfect for at-home learning or schools lacking sufficient computer or internet access. It has everything you need to teach a coding class or learn basic web programming yourself. You don't n ...
Dive Into Algorithms
Dive Into Algorithms

Dive Into Algorithms is a wide-ranging, Pythonic tour of many of the world's most interesting algorithms. With little more than a bit of computer programming experience and basic high-school math, you'll explore standard computer science algorithms for searching, sorting, and optimization; human-based algorithms that help us determine how to catch a baseball or eat the right amount at a buffet; and advanced algorithms like ones used in machine learning and artificial intelligence. You'll even explore how ancient Egyptians and Russian peasants used algorithms to multiply numbers, how the ancient Greeks used them to find greatest common divisors, and how Japanese scholars in the age of samurai designed algorithms capable of generating magic squares. You'll explore algorithms that are useful in pure mathematics and learn how mathematical ideas can improve algorithms. You'll learn about an algorithm for generating continued fractions, one for quick calculations of square roots, and anot ...
Racket Programming the Fun Way
Racket Programming the Fun Way

At last, a lively guided tour through all the features, functions, and applications of the Racket programming language. You'll learn a variety of coding paradigms, including iterative, object oriented, and logic programming; create interactive graphics, draw diagrams, and solve puzzles as you explore Racket through fun computer science topics - from statistical analysis to search algorithms, the Turing machine, and more. Early chapters cover basic Racket concepts like data types, syntax, variables, strings, and formatted output. You'll learn how to perform math in Racket's rich numerical environment, and use programming constructs in different problem domains (like coding solutions to the Tower of Hanoi puzzle). Later, you'll play with plotting, grapple with graphics, and visualize data. Then, you'll escape the confines of the command line to produce animations, interactive games, and a card trick program that'll dazzle your friends. You'll learn how tot: - Use DrRacket, an inte ...
Practical Deep Learning
Practical Deep Learning

If you've been curious about machine learning but didn't know where to start, this is the book you've been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning teaches you the why of deep learning and will inspire you to explore further. All you need is basic familiarity with computer programming and high school math - the book will cover the rest. After an introduction to Python, you'll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models' performance. You'll also learn: - How to use classic machine learning models like k-Nearest Neighbors, Random Forests, and Support Vector Machines; - How neural networks work and how they're trained; - How to use convolutional neural network ...
Design and Build Great Web APIs
Design and Build Great Web APIs

APIs are transforming the business world at an increasing pace. Gain the essential skills needed to quickly design, build, and deploy quality web APIs that are robust, reliable, and resilient. Go from initial design through prototyping and implementation to deployment of mission-critical APIs for your organization. Test, secure, and deploy your API with confidence and avoid the "release into production" panic. Tackle just about any API challenge with more than a dozen open-source utilities and common programming patterns you can apply right away. Good API design means starting with the API-first principle - understanding who is using the API and what they want to do with it - and applying basic design skills to match customers' needs while solving business-critical problems. Use the Sketch-Design-Build method to create reliable and scalable web APIs quickly and easily without a lot of risk to the day-to-day business operations. Create clear sequence diagrams, accurate specifications ...
Principles of Programming Languages
Principles of Programming Languages

In this open book, our goal is to study the fundamental concepts in programming languages, as opposed to learning a range of specific languages. Languages are easy to learn, it is the concepts behind them that are difficult. The basic features we study in turn include higher-order functions, data structures in the form of records and variants, mutable state, exceptions, objects and classes, and types. We also study language implementations, both through language interpreters and language compilers. Throughout the book we write small interpreters for toy languages, and in Chapter 8 we write a principled compiler. We define type checkers to define which programs are well-typed and which are not. We also take a more precise, mathematical view of interpreters and type checkers, via the concepts of operational semantics and type systems. These last two concepts have historically evolved from the logician's view of programming. The material has evolved from lecture notes used in a program ...
XcalableMP PGAS Programming Language
XcalableMP PGAS Programming Language

XcalableMP is a directive-based parallel programming language based on Fortran and C, supporting a Partitioned Global Address Space (PGAS) model for distributed memory parallel systems. This open book presents XcalableMP language from its programming model and basic concept to the experience and performance of applications described in XcalableMP.? XcalableMP was taken as a parallel programming language project in the FLAGSHIP 2020 project, which was to develop the Japanese flagship supercomputer, Fugaku, for improving the productivity of parallel programing. XcalableMP is now available on Fugaku and its performance is enhanced by the Fugaku interconnect, Tofu-D. The global-view programming model of XcalableMP, inherited from High-Performance Fortran (HPF), provides an easy and useful solution to parallelize data-parallel programs with directives for distributed global array and work distribution and shadow communication. The local-view programming adopts coarray notation from Co ...
Problem Solving with Algorithms and Data Structures
Problem Solving with Algorithms and Data Structures

The study of algorithms and data structures is central to understanding what computer science is all about. Learning computer science is not unlike learning any other type of difficult subject matter. The only way to be successful is through deliberate and incremental exposure to the fundamental ideas. A beginning computer scientist needs practice so that there is a thorough understanding before continuing on to the more complex parts of the curriculum. In addition, a beginner needs to be given the opportunity to be successful and gain confidence. 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 ...
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