Yet information graphics is rarely taught in schools or is the focus of on-the-job training. Now, for the first time, Dona M. Wong, a student of the information graphics pioneer Edward Tufte, makes this material available for all of us. In this book, you will learn:to choose the best chart that fits your data;the most effective way to communicate with decision makers when you have five minutes of their time;how to chart currency fluctuations that affect global business;how to use color effectively;how to make a graphic “colorful” even if only black and white are available.The book is organized in a series of mini-workshops backed up with illustrated examples, so not only will you learn what works and what doesn’t but also you can see the dos and don’ts for yourself. This is an invaluable reference work for students and professional in all fields.

    Their applications range from network routing and computational genomics to public-key cryptography and database system implementation. Studying algorithms can make you a better programmer, a clearer thinker, and a master of technical interviews. Algorithms Illuminated is an accessible introduction to the subject---a transcript of what an expert algorithms tutor would say over a series of one-on-one lessons. The exposition is rigorous but emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details. Part 1 of the book series covers asymptotic analysis and big-O notation, divide-and-conquer algorithms and the master method, randomized algorithms, and several famous algorithms for sorting and selection.

    This book covers the core concepts of operating systems without any unnecessary jargon or text. The authors put you on your way to mastering the fundamental concepts of operating systems while you also prepare for today's emerging developments.Covers the core concepts of operating systems Bypasses unnecessary and wordy text or jargon Encourages you to take your operating system knowledge to the next level Prepares you for today's emerging developments in the field of operating systems Operating Systems Concepts Essentials is a soup-to-nuts guide for all things involving operating systems!

    J. Hank Rainwater introduces new and not-so-new managers to concepts that will encourage them and help them become a strong leaders for their teams. You�ll learn about the varieties of programmer personality traits and be able match personnel to projects for maximum productivity. You�ll also learn how to manage your strengths and weaknesses as you improve your leadership skills, which will result in dramatic improvements to your team�s success. In this �how-to� manual that�s both practical and thought- provoking, you�ll find several chapters devoted to administrative aspects of your job, such as managing meetings, hiring and firing, and principles of organizing your job for success. Rainwater also describes task management software he built that you can use to organize project assignments. (The source code for this software is available for download once you own the book.) The chapter on technical leadership, which highlights the importance of architecture, design, and code reviews, not only illustrates practical applications of leadership, but also digs deep into concrete methods you must employ. Rainwater shows why things can go wrong for a leader and how to correct career-derailing problems as they arise. One chapter is devoted to the working relationship that you as a manager have with your boss, and it guides you into the best way to respond to the pressures of software project deadlines. Numerous other topics are discussed that are a necessity for anyone seeking to manage the �peopleware� aspects of software development. "Herding Cats: A Primer for Programmers Who Lead Programmers" is the definitive guide to the challenges and obstacles facing anyone who manages programmers. Author Information Hank Rainwater leads programmers who build software for the insurance industry at Risk Sciences Group in Atlanta, Georgia. His career in science and engineering has spanned over three decades and has included writing Fortran programs on punch cards; teaching college mathematics; conducting research in radio astronomy, missile guidance systems, and remote sensing technologies; and managing the building of embedded digital control systems. As a software professional, Hank has served as a consultant, mentor, and teacher of programming languages and has led development teams in several industries.

    AngularJS, which is maintained by Google, brings the power of the Model-View-Controller (MVC) pattern to the client, providing the foundation for complex and rich web apps. It allows you to build applications that are smaller, faster, and with a lighter resource footprint than ever before.Best-selling author Adam Freeman explains how to get the most from AngularJS. He begins by describing the MVC pattern and the many benefits that can be gained from separating your logic and presentation code. He then shows how you can use AngularJS's features within in your projects to produce professional-quality results. Starting from the nuts-and-bolts and building up to the most advanced and sophisticated features AngularJS is carefully unwrapped, going in-depth to give you the knowledge you need.Each topic is covered clearly and concisely and is packed with the details you need to learn to be truly effective. The most important features are given a no-nonsense in-depth treatment and chapters include common problems and details of how to avoid them. What you’ll learn Gain a solid architectural understanding of the MVC Pattern to separate logic, data and presentation code. Learn how to create rich and dynamic web apps using AngularJS Understand how each feature works and why it is important Understand how to extend HTML with declarative syntax Learn how to extend and customize AngularJS Learn how to test, refine, and deploy your AngularJS projects Who this book is for This book is ideal for web developers who have a working knowledge of JavaScript, HTML and CSS. The book is platform agnostic and a range of browsers will be presented and discussed throughout the examples.

    

    If you have read the Swift Programming Guide, and want to explore more, this book is for you.Swift is a great language for systems programming, but also lends itself for very high-level programming. We'll explore both high-level topics (for example, programming with generics and protocols), as well as low-level topics (for example, wrapping a C library and string internals).

    With SQL and this task-based guide to it, you can do it too—no programming experience required!After going over the relational database model and SQL syntax in the first few chapters, veteran author Chris Fehily launches into the tasks that will get you comfortable with SQL fast. In addition to explaining SQL basics, this updated reference covers the ANSI SQL:2003 standard and contains a wealth of brand-new information, including a new chapter on set operations and common tasks, well-placed optimization tips to make your queries run fast, sidebars on advanced topics, and added IBM DB2 coverage.Best of all, the book's examples were tested on the latest versions of Microsoft Access, Microsoft SQL Server, Oracle, IBM DB2, MySQL, and PostgreSQL. On the companion Web site, you can download the SQL scripts and sample database for all these systems and put your knowledge to work immediately on a real database..

    It emphasizes generic programming and using the C++ Standard Library.

    This classic guide—fully updated for Windows Server 2003, Windows XP, and Windows 2000, including 64-bit extensions—describes the architecture and internals of the Windows operating system. You’ll find hands-on experiments you can use to experience Windows internal behavior firsthand, along with advanced troubleshooting information to help you keep your systems running smoothly and efficiently. Whether you’re a developer or a system administrator, you’ll find critical architectural insights that you can quickly apply for better design, debugging, performance, and support.Get in-depth, inside knowledge of the Windows operating system: Understand the key mechanisms that configure and control Windows, including dispatching, startup and shutdown, and the registry Explore the Windows security model, including access, privileges, and auditing Investigate internal system architecture using the kernel debugger and other tools Examine the data structures and algorithms that deal with processes, threads, and jobs Observe how Windows manages virtual and physical memory Understand the operation and format of NTFS, and troubleshoot file system access problems View the Windows networking stack from top to bottom, including mapping, APIs, name resolution, and protocol drivers Troubleshoot boot problems and perform crash analysis

    This book demonstrates how the notation and process complement one another, using UML models to illustrate the new process in action. It describes the constructs such as use cases, actors, and more.

    Each chapter gives you the complete source code for a new game and teaches the programming concepts from these examples. The book is available under a Creative Commons license and can be downloaded in full for free from http: //inventwithpython.com/pygame This book was written to be understandable by kids as young as 10 to 12 years old, although it is great for anyone of any age who has some familiarity with Python.

    This highly anticipated fourth edition of the most ...Download Link : readmeaway.com/download?i=0128042915            0128042915 Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF by Ian H. WittenRead Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF from Morgan Kaufmann,Ian H. WittenDownload Ian H. Witten's PDF E-book Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)

    It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.

    This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks.Intended for those who want to learn how to use R's machine learning capabilities and gain insight from your data. Perhaps you already know a bit about machine learning, but have never used R; or perhaps you know a little R but are new to machine learning. In either case, this book will get you up and running quickly. It would be helpful to have a bit of familiarity with basic programming concepts, but no prior experience is required.