||SAS Programming and Data Visualization Techniques|
SAS Programming and Data Visualization Techniques: A Power User's Guide brings together a wealth of ideas about strategic and tactical solutions to everyday situations experienced when transferring, extracting, processing, analyzing, and reporting the valuable data you have at your fingertips. Best, you can achieve most of the solutions using the SAS components you already license, meaning that this book's insights can keep you from throwing money at problems needlessly.
Author Philip R. Holland advises a broad range of clients throughout Europe and the United States as an independent consultant and founder of Holland Numerics Ltd, a SAS technical consultancy. In this book he explains techniques - through code samples and example - that will enable you to increase your knowledge of all aspects of SAS programming improve your coding productivity, and interface SAS with other programs.
||Linear and Nonlinear Programming, 4th Edition|
This new edition covers the central concepts of practical optimization techniques, with an emphasis on methods that are both state-of-the-art and popular. One major insight is the connection between the purely analytical character of an optimization problem and the behavior of algorithms used to solve a problem. This was a major theme of the first edition of this book and the fourth edition expands and further illustrates this relationship. As in the earlier editions, the material in this fourth edition is organized into three separate parts. Part I is a self-contained introduction to linear programming. The presentation in this part is fairly conventional, covering the main elements of the underlying theory of linear programming many of the most effective numerical algorithms, and many of its important special applications. Part II, which is independent of Part I, covers the theory of unconstrained optimization, including both derivations of the appropriate optimality conditions and an introduction to basic algorithms. This part of the book explores the general properties of algorithms and defines various notions of convergence. Part III extends the concepts developed in the second part to constrained optimization problems. Except for a few isolated sections, this part is also independent of Part I. It is possible to go directly into Parts II and III omitting Part I, and, in fact, the book has been used in this way in many universities.
||Programming for Musicians and Digital Artists|
Programming for Musicians and Digital Artists: Creating Music with ChucK offers a complete introduction to programming in the open source music language ChucK. In it, you'll learn the basics of digital sound creation and manipulation while you discover the ChucK language. As you move example-by-example through this easy-to-follow book, you'll create meaningful and rewarding digital compositions and "instruments" that make sound and music in direct response to program logic, scores, gestures, and other systems connected via MIDI or the network.
||Swift Game Programming for Absolute Beginners|
Swift Game Programming for Absolute Beginners teaches Apple's Swift language in the context of four, fun and colorful games. Learn the Swift 2.0 language, and learn to create game apps for iOS at the same time – a double win!
These four games are casual, arcade-style games representing the aim-and-shoot, casual, puzzle, and platform styles of game play. Professionally developed game assets form part of the book download. You'll get professionally drawn sprites and imagery that'll have you proud to show your learning to friends and family.
The approach in Swift Game Programming for Absolute Beginners follows the structure of a game rather than the syntax of a language. You'll learn to create game worlds, manage game objects and game states, define levels for players to pass through, implement animations based upon realistic physics, and much more. Along the way you'll learn the language, but always in the context of fun and games.
||Hack and HHVM|
How can you take advantage of the HipHop Virtual Machine (HHVM) and the Hack programming language, two new technologies that Facebook developed to run their web servers? With this practical guide, Owen Yamauchi—a member of Facebook's core Hack and HHVM teams—shows you how to get started with these battle-tested open-source tools.
You'll explore static typechecking and several other features that separate Hack from its PHP origins, and learn how to set up, configure, deploy, and monitor HHVM. Ideal for developers with basic PHP knowledge or experience with other languages, this book also demonstrates how these tools can be used with existing PHP codebases and new projects alike.
||Doing Math with Python|
Doing Math with Python shows you how to use Python to delve into high school–level math topics like statistics, geometry, probability, and calculus. You'll start with simple projects, like a factoring program and a quadratic-equation solver, and then create more complex projects once you've gotten the hang of things.
Along the way, you'll discover new ways to explore math and gain valuable programming skills that you'll use throughout your study of math and computer science.
Creative coding challenges and applied examples help you see how you can put your new math and coding skills into practice. You'll write an inequality solver, plot gravity's effect on how far a bullet will travel, shuffle a deck of cards, estimate the area of a circle by throwing 100,000 darts at a board, explore the relationship between the Fibonacci sequence and the golden ratio, and more.
||Automate the Boring Stuff with Python|
If you've ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you?
In Automate the Boring Stuff with Python, you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand—no prior programming experience required.
Step-by-step instructions walk you through each program, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks.
Don't spend your time doing work a well-trained monkey could do. Even if you've never written a line of code, you can make your computer do the grunt work. Learn how in Automate the Boring Stuff with Python.
||Elementary Number Theory with Programming|
Bridging an existing gap between mathematics and programming Elementary Number Theory with Programming provides a unique introduction to elementary number theory with fundamental coverage of computer programming. Written by highly-qualified experts in the fields of computer science and mathematics, the book features accessible coverage for readers with various levels of experience and explores number theory in the context of programming without relying on advanced prerequisite knowledge and concepts in either area.
Elementary Number Theory with Programming features comprehensive coverage of the methodology and applications of the most well-known theorems, problems, and concepts in number theory. Using standard mathematical applications within the programming field, the book presents modular arithmetic and prime decomposition, which are the basis of the public-private key system of cryptography.
||Python Parallel Programming Cookbook|
Parallel programming techniques are required for a developer to get the best use of all the computational resources available today and to build efficient software systems. From multi-core to GPU systems up to the distributed architectures, the high computation of programs throughout requires the use of programming tools and software libraries. Because of this, it is becoming increasingly important to know what the parallel programming techniques are. Python is commonly used as even non-experts can easily deal with its concepts.
This book will teach you parallel programming techniques using examples in Python and will help you explore the many ways in which you can write code that allows more than one process to happen at once. Starting with introducing you to the world of parallel computing, it moves on to cover the fundamentals in Python. This is followed by exploring the thread-based parallelism model using the Python threading module by synchronizing threads and using locks, mutex, semaphores queues, GIL, and the thread pool.
The BeagleBone Black is an embedded system that is able to run complete GNU/Linux distributions such as Debian or Ubuntu. Having powerful distribution capabilities, and packed with an easily expandable embedded board, the BeagleBone Black is a device that will allow users to build powerful and versatile monitoring and controlling systems.
You start off by learning how to set up the board from scratch; you will be introduced to the concepts of compilation and cross-compilation of user-space and kernel-space applications with some basic debugging techniques. Next, you will move on to high-level programming by using scripting languages; you'll then learn how to get access to different kinds of peripherals such as serial ports, USB devices, I2C/SPI, and 1-Wire. Finally, you will discover how to use or develop system daemons in several programming languages, collect peripheral data, and control a device. Accessing all peripherals and writing good monitoring and controlling programs can be a complex task; it's all too easy to make mistakes early in development that lead to serious problems in production. This guide is an invaluable tutorial if you are planning to use a BeagleBone Black to control or monitor projects.
||Python 3 Object-oriented Programming, 2nd Edition|
Python 3 is more versatile and easier to use than ever. It runs on all major platforms in a huge array of use cases. Coding in Python minimizes development time and increases productivity in comparison to other languages. Clean, maintainable code is easy to both read and write using Python's clear, concise syntax.
Object-oriented programming is a popular design paradigm in which data and behaviors are encapsulated in such a way that they can be manipulated together. Many modern programming languages utilize the powerful concepts behind object-oriented programming and Python is no exception.
Starting with a detailed analysis of object-oriented analysis and design, you will use the Python programming language to clearly grasp key concepts from the object-oriented paradigm. This book fully explains classes, data encapsulation, inheritance, polymorphism, abstraction, and exceptions with an emphasis on when you can use each principle to develop well-designed software.