Programming Erlang


Joe Armstrong - 2007
    It's used worldwide by companies who need to produce reliable, efficient, and scalable applications. Invest in learning Erlang now.Moore's Law is the observation that the amount you can do on a single chip doubles every two years. But Moore's Law is taking a detour. Rather than producing faster and faster processors, companies such as Intel and AMD are producing multi-core devices: single chips containing two, four, or more processors. If your programs aren't concurrent, they'll only run on a single processor at a time. Your users will think that your code is slow.Erlang is a programming language designed for building highly parallel, distributed, fault-tolerant systems. It has been used commercially for many years to build massive fault-tolerated systems that run for years with minimal failures.Erlang programs run seamlessly on multi-core computers: this means your Erlang program should run a lot faster on a 4 core processor than on a single core processor, all without you having to change a line of code.Erlang combines ideas from the world of functional programming with techniques for building fault-tolerant systems to make a powerful language for building the massively parallel, networked applications of the future.This book presents Erlang and functional programming in the familiar Pragmatic style. And it's written by Joe Armstrong, one of the creators of Erlang.It includes example code you'll be able to build upon. In addition, the book contains the full source code for two interesting applications:A SHOUTcast server which you can use to stream music to every computer in your house, and a full-text indexing and search engine that can index gigabytes of data. Learn how to write programs that run on dozens or even hundreds of local and remote processors. See how to write robust applications that run even in the face of network and hardware failure, using the Erlang programming language.

The Theoretical Minimum: What You Need to Know to Start Doing Physics


Leonard Susskind - 2013
    In this unconventional introduction, physicist Leonard Susskind and hacker-scientist George Hrabovsky offer a first course in physics and associated math for the ardent amateur. Unlike most popular physics books—which give readers a taste of what physicists know but shy away from equations or math—Susskind and Hrabovsky actually teach the skills you need to do physics, beginning with classical mechanics, yourself. Based on Susskind's enormously popular Stanford University-based (and YouTube-featured) continuing-education course, the authors cover the minimum—the theoretical minimum of the title—that readers need to master to study more advanced topics.An alternative to the conventional go-to-college method, The Theoretical Minimum provides a tool kit for amateur scientists to learn physics at their own pace.

Kali Linux Revealed: Mastering the Penetration Testing Distribution


Raphaël Hertzog - 2017
    They provided a secure and reliable foundation, allowing us to concentrate on securing our digital world.An amazing community has built up around Kali Linux. Every month, more than 300,000 of us download a version of Kali. We come together in online and real-world training rooms and grind through the sprawling Offensive Security Penetration Testing Labs, pursuing the near-legendary Offensive Security certifications. We come together on the Kali forums, some 40,000 strong, and hundreds of us at a time can be found on the Kali IRC channel. We gather at conferences and attend Kali Dojos to learn from the developers themselves how to best leverage Kali.However, the Kali team has never released an official Kali Linux manual, until now.In this book, we'll focus on the Kali Linux platform itself, and help you understand and maximize Kali from the ground up. The developers will walk you through Kali Linux features and fundamentals, provide a crash course in basic Linux commands and concepts, and then walk you through the most common Kali Linux installation scenarios. You'll learn how to configure, troubleshoot and secure Kali Linux and then dive into the powerful Debian package manager. Throughout this expansive section, you'll learn how to install and configure packages, how to update and upgrade your Kali installation, and how to create your own custom packages. Then you'll learn how to deploy your custom installation across massive enterprise networks. Finally, you'll be guided through advanced topics such as kernel compilation, custom ISO creation, industrial-strength encryption, and even how to install crypto kill switches to safeguard your sensitive information.Whether you're a veteran or an absolute n00b, this is the best place to start with Kali Linux, the security professional's platform of choice.

R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics


Paul Teetor - 2011
    The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression.Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you're a beginner, R Cookbook will help get you started. If you're an experienced data programmer, it will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process.Create vectors, handle variables, and perform other basic functionsInput and output dataTackle data structures such as matrices, lists, factors, and data framesWork with probability, probability distributions, and random variablesCalculate statistics and confidence intervals, and perform statistical testsCreate a variety of graphic displaysBuild statistical models with linear regressions and analysis of variance (ANOVA)Explore advanced statistical techniques, such as finding clusters in your dataWonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language--one practical example at a time.--Jeffrey Ryan, software consultant and R package author

Fundamentals of Software Architecture: An Engineering Approach


Mark Richards - 2020
    Until now. This practical guide provides the first comprehensive overview of software architecture's many aspects. You'll examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics.Authors Neal Ford and Mark Richards help you learn through examples in a variety of popular programming languages, such as Java, C#, JavaScript, and others. You'll focus on architecture principles with examples that apply across all technology stacks.

Machine Learning


Tom M. Mitchell - 1986
    Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data.

Single Variable Essential Calculus: Early Transcendentals


James Stewart - 1995
    In writing the book James Stewart asked himself:What is essential for a three-semester calculus course for scientists and engineers? Stewart's SINGLE VARIABLE ESSENTIAL CALCULUS: EARLY TRANSCENDENTALS offers a concise approach to teaching calculus, focusing on major concepts and supporting those with precise definitions, patient explanations, and carefully graded problems. SINGLE VARIABLE ESSENTIAL CALCULUS: EARLY TRANSCENDENTALS is only 850 pages-two-thirds the size of Stewart's other calculus texts (CALCULUS, FIFTH EDITION AND CALCULUS, EARLY TRANSCENDENTALS, Fifth Edition)-yet it contains almost all of the same topics. The author achieved this relative brevity mainly by condensing the exposition and by putting some of the features on the website www.StewartCalculus.com. Despite the reduced size of the book, there is still a modern flavor: Conceptual understanding and technology are not neglected, though they are not as prominent as in Stewart's other books. SINGLE VARIABLE ESSENTIAL CALCULUS: EARLY TRANSCENDENTALS has been written with the same attention to detail, eye for innovation, and meticulous accuracy that have made Stewart's textbooks the best-selling calculus texts in the world.

Hindu Rites and Rituals: Origins and Meanings


K.V. Singh - 2015
    Often the age-old customs, whose relevance is lost to modern times, are dismissed as meaningless superstitions. The truth, however, is that these practices reveal the philosophical and scientific approach to life that has characterized Hindu thought since ancient times; it is important to revive their original meanings today. This handy book tells the fascinating stories and explains the science behind the Hindu rites and rituals that we sometimes follow blindly. It is essential reading for anyone interested in India's cultural tradition.

Computer Science: An Overview


J. Glenn Brookshear - 1985
    This bookpresents an introductory survey of computer science. It explores thebreadth of the subject while including enough depth to convey anhonest appreciation for the topics involved. The new edition includesreorganization of some key material for enhanced clarity (SoftwareEngineering and Artificial Intelligence chapters), new and expandedmaterial on Security and Data Abstractions, more on ethics anddifferent ethical theories in Chapter 0. Anyone interested in gaining athorough introduction to Computer Science.

Introduction to Graph Theory


Richard J. Trudeau - 1994
    This book leads the reader from simple graphs through planar graphs, Euler's formula, Platonic graphs, coloring, the genus of a graph, Euler walks, Hamilton walks, more. Includes exercises. 1976 edition.

Python Algorithms: Mastering Basic Algorithms in the Python Language


Magnus Lie Hetland - 2010
    Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques.The book deals with some of the most important and challenging areas of programming and computer science, but in a highly pedagogic and readable manner. The book covers both algorithmic theory and programming practice, demonstrating how theory is reflected in real Python programs. Well-known algorithms and data structures that are built into the Python language are explained, and the user is shown how to implement and evaluate others himself.