In the Mastering Emacs ebook you will learn the answers to all the concepts that take weeks, months or even years to truly learn, all in one place.“Emacs is such a hard editor to learn”But why is it so hard to learn? As it turns out, it's almost always the same handful of issues that everyone faces.If you have tried to learn Emacs you will have struggled with the same problems everyone faces, and few tutorials to see you through it.I have dedicated the first half of the book to explaining the essence of Emacs — and in doing so, how to overcome these issues:Memorizing Emacs’s keys: You will learn Emacs one key at a time, starting with the arrow keys. To feel productive in Emacs, it’s important you start on an equal footing — without too many new concepts and keys to memorize. Each chapter will introduce more keys and concepts so you can learn at your own pace. Discovering new modes and features: Emacs is a self-documenting editor, and I will teach you how to use the apropos, info, and describe system to discover new modes and features, or help you find things you forgot! Customizing Emacs: You don’t have to learn Emacs Lisp to alter a lot of Emacs’s functionality. Most changes you want to make are possible using Emacs’s Customize interface and I will show you how to use it efficiently. Understanding the terminology: Emacs is so old it predates almost every other editor and all modern user interfaces. I have an entire chapter dedicated to the unique terminology in Emacs; how it is different from other editors, and what that means to you.

    The authors guide you step by step, using construction of a CD database application to give you hands-on experience as you progress from the basic to the complex. You'll start with fundamental concepts like writing Unix programs in C. You'll learn basic system calls, file I/O, interprocess communication, and shell programming. You'll become skilled with the toolkits and libraries for working with user interfaces.The book starts from the basics, explaining how to compile and run your first program. New to this edition are chapters on MySQL(R) access and administration; programming GNOME and KDE; and Linux standards for portable applications. Coverage of kernel programming, device drivers, CVS, grep, and GUI development environments has expanded. This book gives you practical knowledge for real wor ld application.What does this book cover?In this book, you will learn how toDevelop programs to access files and the Linux environment Use the GNU compiler, debugger and other development tools Program data storage aapplications for MySQL and DBM database systems Write programs that take advantage of signals, processes and threads Build graphical user interfaces using both the GTK (for GNOME) and Qt (for KDE) libraries Write device drivers that can be loaded into the Linux kernel Access the network using TCP/IP sockets Write scripts that use grep, regular expressions and other Linux facilities Who is this book for?This book is for programmers with some C or C++ experience, who want to take advantage of the Linux development environment. You should have enough Linux familiarity to have installed and configured users on Linux.

    By understanding what the browser can and cannot do, you’ll be able to make better design decisions and deliver faster web applications to your users.Author Ilya Grigorik—a developer advocate and web performance engineer at Google—starts with the building blocks of TCP and UDP, and then dives into newer technologies such as HTTP 2.0, WebSockets, and WebRTC. This book explains the benefits of these technologies and helps you determine which ones to use for your next application.- Learn how TCP affects the performance of HTTP- Understand why mobile networks are slower than wired networks- Use best practices to address performance bottlenecks in HTTP- Discover how HTTP 2.0 (based on SPDY) will improve networking- Learn how to use Server Sent Events (SSE) for push updates, and WebSockets for XMPP chat- Explore WebRTC for browser-to-browser applications such as P2P video chat- Examine the architecture of a simple app that uses HTTP 2.0, SSE, WebSockets, and WebRTC

    Ideal for processing large datasets, the Apache Hadoop framework is an open source implementation of the MapReduce algorithm on which Google built its empire. This comprehensive resource demonstrates how to use Hadoop to build reliable, scalable, distributed systems: programmers will find details for analyzing large datasets, and administrators will learn how to set up and run Hadoop clusters. Complete with case studies that illustrate how Hadoop solves specific problems, this book helps you:Use the Hadoop Distributed File System (HDFS) for storing large datasets, and run distributed computations over those datasets using MapReduce Become familiar with Hadoop's data and I/O building blocks for compression, data integrity, serialization, and persistence Discover common pitfalls and advanced features for writing real-world MapReduce programs Design, build, and administer a dedicated Hadoop cluster, or run Hadoop in the cloud Use Pig, a high-level query language for large-scale data processing Take advantage of HBase, Hadoop's database for structured and semi-structured data Learn ZooKeeper, a toolkit of coordination primitives for building distributed systems If you have lots of data -- whether it's gigabytes or petabytes -- Hadoop is the perfect solution. Hadoop: The Definitive Guide is the most thorough book available on the subject. "Now you have the opportunity to learn about Hadoop from a master-not only of the technology, but also of common sense and plain talk." -- Doug Cutting, Hadoop Founder, Yahoo!

    These principles have revolutionized manufacturing and have been adopted by the most innovative product companies including Toyota and 3M. In 2003 the Poppendieck's published Lean Software Development: An Agile Toolkit which showed how these same lean principles can be successfully applied to software development. Since that publication the authors have increased their understanding of Lean and Agile problems faced by large organizations and have emerged as leading advocates for bringing Lean production techniques to software development. While their first book provides an introduction, theoretical advice and a reference to Lean, this follow-up incorporates their gained knowledge and understanding of what works and goes steps further to provide hands-on guidance for implementing a Lean system. Using historical case studies from prominent companies such as Polaris, Lockheed and Fujistu the authors prove the overall value of Lean practices and shows how to effectively apply these methods to software production.

    Leading Scrum coach and trainer Kenny Rubin illuminates the values, principles, and practices of Scrum, and describes flexible, proven approaches that can help you implement it far more effectively. Whether you are new to Scrum or years into your use, this book will introduce, clarify, and deepen your Scrum knowledge at the team, product, and portfolio levels. Drawing from Rubin's experience helping hundreds of organizations succeed with Scrum, this book provides easy-to-digest descriptions enhanced by more than two hundred illustrations based on an entirely new visual icon language for describing Scrum's roles, artifacts, and activities. Essential Scrum will provide every team member, manager, and executive with a common understanding of Scrum, a shared vocabulary they can use in applying it, and practical knowledge for deriving maximum value from it.

    Cryptography is vital to keeping information safe, in an era when the formula to do so becomes more and more challenging. Written by a team of world-renowned cryptography experts, this essential guide is the definitive introduction to all major areas of cryptography: message security, key negotiation, and key management. You'll learn how to think like a cryptographer. You'll discover techniques for building cryptography into products from the start and you'll examine the many technical changes in the field.After a basic overview of cryptography and what it means today, this indispensable resource covers such topics as block ciphers, block modes, hash functions, encryption modes, message authentication codes, implementation issues, negotiation protocols, and more. Helpful examples and hands-on exercises enhance your understanding of the multi-faceted field of cryptography.An author team of internationally recognized cryptography experts updates you on vital topics in the field of cryptography Shows you how to build cryptography into products from the start Examines updates and changes to cryptography Includes coverage on key servers, message security, authentication codes, new standards, block ciphers, message authentication codes, and more Cryptography Engineering gets you up to speed in the ever-evolving field of cryptography.

    Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.With this handbook, you’ll learn how to use: * IPython and Jupyter: provide computational environments for data scientists using Python * NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python * Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python * Matplotlib: includes capabilities for a flexible range of data visualizations in Python * Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

    This book will show you how to write robust multithreaded applications in C++ while avoiding many common pitfalls.About the TechnologyMultiple processors with multiple cores are the norm these days. The C++11 version of the C++ language offers beefed-up support for multithreaded applications, and requires that you master the principles, techniques, and new language features of concurrency to stay ahead of the curve.About the BookWithout assuming you have a background in the subject, CC++ Concurrency in Action gradually enables you to write robust and elegant multithreaded applications in C++11. You'll explore the threading memory model, the new multithreading support library, and basic thread launching and synchronization facilities. Along the way, you'll learn how to navigate the trickier bits of programming for concurrency.Written for C++ programmers who are new to concurrency and others who may have written multithreaded code using other languages, APIs, or platforms.Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.What's InsideWritten for the new C++11 Standard Programming for multiple cores and processors Small examples for learning, big examples for practice====================Table of ContentsHello, world of concurrency in C++! Managing threads Sharing data between threads Synchronizing concurrent operations The C++ memory model and operations on atomic types Designing lock-based concurrent data structures Designing lock-free concurrent data structures Designing concurrent code Advanced thread management Testing and debugging multithreaded applications

    Concurrency and parallelism are the keys, and Seven Concurrency Models in Seven Weeks equips you for this new world. See how emerging technologies such as actors and functional programming address issues with traditional threads and locks development. Learn how to exploit the parallelism in your computer's GPU and leverage clusters of machines with MapReduce and Stream Processing. And do it all with the confidence that comes from using tools that help you write crystal clear, high-quality code. This book will show you how to exploit different parallel architectures to improve your code's performance, scalability, and resilience. Learn about the perils of traditional threads and locks programming and how to overcome them through careful design and by working with the standard library. See how actors enable software running on geographically distributed computers to collaborate, handle failure, and create systems that stay up 24/7/365. Understand why shared mutable state is the enemy of robust concurrent code, and see how functional programming together with technologies such as Software Transactional Memory (STM) and automatic parallelism help you tame it. You'll learn about the untapped potential within every GPU and how GPGPU software can unleash it. You'll see how to use MapReduce to harness massive clusters to solve previously intractible problems, and how, in concert with Stream Processing, big data can be tamed. With an understanding of the strengths and weaknesses of each of the different models and hardware architectures, you'll be empowered to tackle any problem with confidence.What You Need: The example code can be compiled and executed on *nix, OS X, or Windows. Instructions on how to download the supporting build systems are given in each chapter.

    You’ll learn everything from the basics of database integration and the use of JavaScript to browser-automation tools like Selenium, and advanced topics such as NoSQL, Web Sockets, and async programming.Ideal for beginners, this book teaches a development methodology that leads to peace of mind, cleaner code, and better web apps.

    Advocates of NoSQL databases claim they can be used to build systems that are more performant, scale better, and are easier to program." ""NoSQL Distilled" is a concise but thorough introduction to this rapidly emerging technology. Pramod J. Sadalage and Martin Fowler explain how NoSQL databases work and the ways that they may be a superior alternative to a traditional RDBMS. The authors provide a fast-paced guide to the concepts you need to know in order to evaluate whether NoSQL databases are right for your needs and, if so, which technologies you should explore further. The first part of the book concentrates on core concepts, including schemaless data models, aggregates, new distribution models, the CAP theorem, and map-reduce. In the second part, the authors explore architectural and design issues associated with implementing NoSQL. They also present realistic use cases that demonstrate NoSQL databases at work and feature representative examples using Riak, MongoDB, Cassandra, and Neo4j. In addition, by drawing on Pramod Sadalage's pioneering work, "NoSQL Distilled" shows how to implement evolutionary design with schema migration: an essential technique for applying NoSQL databases. The book concludes by describing how NoSQL is ushering in a new age of Polyglot Persistence, where multiple data-storage worlds coexist, and architects can choose the technology best optimized for each type of data access.

    You'll learn pragmatic ways of approaching the development process and your personal coding techniques. You'll learn about your own attitudes, issues with working on a team, and how to best manage your learning, all in an iterative, incremental, agile style. You'll see how to apply each practice, and what benefits you can expect. Bottom line: This book will make you a better developer.

    Discover the “hidden gold” in Python’s standard library and start writing clean and Pythonic code today. Who Should Read This Book: If you’re wondering which lesser known parts in Python you should know about, you’ll get a roadmap with this book. Discover cool (yet practical!) Python tricks and blow your coworkers’ minds in your next code review. If you’ve got experience with legacy versions of Python, the book will get you up to speed with modern patterns and features introduced in Python 3 and backported to Python 2. If you’ve worked with other programming languages and you want to get up to speed with Python, you’ll pick up the idioms and practical tips you need to become a confident and effective Pythonista. If you want to make Python your own and learn how to write clean and Pythonic code, you’ll discover best practices and little-known tricks to round out your knowledge. What Python Developers Say About The Book: "I kept thinking that I wished I had access to a book like this when I started learning Python many years ago." — Mariatta Wijaya, Python Core Developer"This book makes you write better Python code!" — Bob Belderbos, Software Developer at Oracle"Far from being just a shallow collection of snippets, this book will leave the attentive reader with a deeper understanding of the inner workings of Python as well as an appreciation for its beauty." — Ben Felder, Pythonista"It's like having a seasoned tutor explaining, well, tricks!" — Daniel Meyer, Sr. Desktop Administrator at Tesla Inc.

    Every page of Linux Pocket Guide lives up to this billing. It clearly explains how to get up to speed quickly on day-to-day Linux use. Once you're up and running, Linux Pocket Guide provides an easy-to-use reference that you can keep by your keyboard for those times when you want a fast, useful answer, not hours in the man pages.Linux Pocket Guide is organized the way you use Linux: by function, not just alphabetically. It's not the 'bible of Linux; it's a practical and concise guide to the options and commands you need most. It starts with general concepts like files and directories, the shell, and X windows, and then presents detailed overviews of the most essential commands, with clear examples. You'll learn each command's purpose, usage, options, location on disk, and even the RPM package that installed it.The Linux Pocket Guide is tailored to Fedora Linux--the latest spin-off of Red Hat Linux--but most of the information applies to any Linux system.Throw in a host of valuable power user tips and a friendly and accessible style, and you'll quickly find this practical, to-the-point book a small but mighty resource for Linux users.