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Beginning Mathematica and Wolfram for Data Science
Beginning Mathematica and Wolfram for Data Science

Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools suite. The book will introduce you to the Wolfram programming language and its syntax, as well as the structure of Mathematica and its advantages and disadvantages. You'll see how to use the Wolfram language for data science from a theoretical and practical perspective. Learning this language makes your data science code better because it is very intuitive and comes with pre-existing functions that can provide a welcoming experience for those who use other programming languages. You'll cover how to use Mathematica where data management and mathematical computations are needed. Along the way you'll appreciate how Mathematica provides a complete integrated platform: it has a mixed syntax as a result of its symbolic and numerical calculations allowing it to carry out various processes without superfluous lines of code. You'll learn to use its noteb ...
Modern Front-end Architecture
Modern Front-end Architecture

Learn how to build front-end applications that can help you ship applications faster with fewer defects. Many software projects fail because they are not planned well, or lack organization. Applying strategies from other industries can help you create better software. This book explores the "mise en place" technique from cooking and reveals how you can apply it to the art of creating software. In many professional kitchens, the work of preparing a meal is divided and performed in workstations to help create the whole. You'll review the philosophy behind this and see how to leverage this approach in your code. You'll also learn to visualize your applications as a series of components and build parts of your application in isolation - just like a professional chef crafting each part of the meal. The book describes to how to structure your code base for reuse, and how to communicate the code's intent to other developers. You'll develop your components in isolation and test these bui ...
Modern C for Absolute Beginners
Modern C for Absolute Beginners

Learn the C programming language easily and in a straightforward way. This book teaches the basics of C, the C Standard Library, and modern C standards. No previous programming experience is required. C is a language that is as popular today as it was decades ago. C covers a wide variety of domains. It can be used to program a microcontroller, or to develop an entire operating system. This book is an effort to introduce the reader to the C programming language in a concise and easy to follow manner. The author takes you through the C programming language, the Standard Library, and the C standards basics. Each chapter is the right balance of theory and code examples. After reading and using this book, you'll have the essentials to start programming in modern C. ...
Programming Algorithms in Lisp
Programming Algorithms in Lisp

Master algorithms programming using Lisp, including the most important data structures and algorithms. This book also covers the essential tools that help in the development of algorithmic code to give you all you need to enhance your code. Programming Algorithms in Lisp shows real-world engineering considerations and constraints that influence the programs that use these algorithms. It includes practical use cases of the applications of the algorithms to a variety of real-world problems. ...
Data Parallel C++
Data Parallel C++

Learn how to accelerate C++ programs using data parallelism. This open book enables C++ programmers to be at the forefront of this exciting and important new development that is helping to push computing to new levels. It is full of practical advice, detailed explanations, and code examples to illustrate key topics. Data parallelism in C++ enables access to parallel resources in a modern heterogeneous system, freeing you from being locked into any particular computing device. Now a single C++ application can use any combination of devices - including GPUs, CPUs, FPGAs and AI ASICs - that are suitable to the problems at hand. This book teaches data-parallel programming using C++ and the SYCL standard from the Khronos Group and walks through everything needed to use SYCL for programming heterogeneous systems. The book begins by introducing data parallelism and foundational topics for effective use of SYCL and Data Parallel C++ (DPC++), the open source compiler used in this book. La ...
C# 9.0 Pocket Reference
C# 9.0 Pocket Reference

Looking for quick answers for using C# 9.0? This tightly focused and practical guide tells you exactly what you need to know without long intros or bloated samples. Succinct and easy to browse, this pocket reference is an ideal quick source of information. If you know Java, C++, or an earlier C# version, this guide will help you get rapidly up to speed. All programs and code snippets are available as interactive samples in LINQPad. You can edit these samples and instantly see the results without needing to set up projects in Visual Studio. Written by the authors of C# 9.0 in a Nutshell, this pocket reference covers: C# fundamentals and features new to C# 9.0; Advanced topics like operator overloading, type constraints, nullable types, operator lifting, closures, patterns, and asynchronous functions; LINQ: sequences, lazy execution, standard query operators, and query expressions; Unsafe code and pointers, custom attributes, preprocessor directives, and XML documentation. ...
Computer Vision Using Deep Learning
Computer Vision Using Deep Learning

Organizations spend huge resources in developing software that can perform the way a human does. Image classification, object detection and tracking, pose estimation, facial recognition, and sentiment estimation all play a major role in solving computer vision problems. This book will bring into focus these and other deep learning architectures and techniques to help you create solutions using Keras and the TensorFlow library. You'll also review mutliple neural network architectures, including LeNet, AlexNet, VGG, Inception, R-CNN, Fast R-CNN, Faster R-CNN, Mask R-CNN, YOLO, and SqueezeNet and see how they work alongside Python code via best practices, tips, tricks, shortcuts, and pitfalls. All code snippets will be broken down and discussed thoroughly so you can implement the same principles in your respective environments. Computer Vision Using Deep Learning offers a comprehensive yet succinct guide that stitches DL and CV together to automate operations, reduce human interven ...
Patterns in the Machine
Patterns in the Machine

Discover how to apply software engineering patterns to develop more robust firmware faster than traditional embedded development approaches. In the authors' experience, traditional embedded software projects tend towards monolithic applications that are optimized for their target hardware platforms. This leads to software that is fragile in terms of extensibility and difficult to test without fully integrated software and hardware. Patterns in the Machine focuses on creating loosely coupled implementations that embrace both change and testability. This book illustrates how implementing continuous integration, automated unit testing, platform-independent code, and other best practices that are not typically implemented in the embedded systems world is not just feasible but also practical for today's embedded projects. After reading this book, you will have a better idea of how to structure your embedded software projects. You will recognize that while writing unit tests, creating ...
MATLAB Recipes, 2nd Edition
MATLAB Recipes, 2nd Edition

Learn from state-of-the-art examples in robotics, motors, detection filters, chemical processes, aircraft, and spacecraft. With this book you will review contemporary MATLAB coding including the latest MATLAB language features and use MATLAB as a software development environment including code organization, GUI development, and algorithm design and testing. Features now covered include the new graph and digraph classes for charts and networks; interactive documents that combine text, code, and output; a new development environment for building apps; locally defined functions in scripts; automatic expansion of dimensions; tall arrays for big data; the new string type; new functions to encode/decode JSON; handling non-English languages; the new class architecture; the Mocking framework; an engine API for Java; the cloud-based MATLAB desktop; the memoize function; and heatmap charts. MATLAB Recipes: A Problem-Solution Approach, Second Edition provides practical, hands-on code snipp ...
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 ...
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