This is the undisputed go-to guide to Rust, written by two members of the Rust core team, with feedback and contributions from 42 members of the community. The book assumes that you’ve written code in another programming language but makes no assumptions about which one, meaning the material is accessible and useful to developers from a wide variety of programming backgrounds.Known by the Rust community as "The Book," The Rust Programming Language includes concept chapters, where you’ll learn about a particular aspect of Rust, and project chapters, where you’ll apply what you’ve learned so far to build small programs.The Book opens with a quick hands-on project to introduce the basics then explores key concepts in depth, such as ownership, the type system, error handling, and fearless concurrency. Next come detailed explanations of Rust-oriented perspectives on topics like pattern matching, iterators, and smart pointers, with concrete examples and exercises--taking you from theory to practice.The Rust Programming Language will show you how to: Grasp important concepts unique to Rust like ownership, borrowing, and lifetimes Use Cargo, Rust’s built-in package manager, to build and maintain your code, including downloading and building dependencies Effectively use Rust’s zero-cost abstractions and employ your ownYou’ll learn to develop reliable code that’s speed and memory efficient, while avoiding the infamous and arcane programming pitfalls common at the systems level. When you need to dive down into lower-level control, this guide will show you how without taking on the customary risk of crashes or security holes and without requiring you to learn the fine points of a fickle toolchain.You’ll also learn how to create command line programs, build single- and multithreaded web servers, and much more.The Rust Programming Language fully embraces Rust’s potential to empower its users. This friendly and approachable guide will help you build not only your knowledge of Rust but also your ability to program with confidence in a wider variety of domains.

    Using a historical and comparative perspective, it demonstrates that there is more than one business model of human trafficking and that there are enormous variations in human trafficking in different regions of the world. Drawing on a wide body of academic research - actual prosecuted cases, diverse reports, and field work and interviews conducted by the author over the last sixteen years in Asia, Latin America, Africa, Europe, and the former socialist countries - Louise Shelley concludes that human trafficking will grow in the twenty-first century as a result of economic and demographic inequalities in the world, the rise of conflicts, and possibly global climate change. Coordinated efforts of government, civil society, the business community, multilateral organizations, and the media are needed to stem its growth.

    With the right tools, we can start to make sense of all this data to see patterns and trends that would otherwise be invisible to us. By transforming numbers into graphical shapes, we allow readers to understand the stories those numbers hide. In this practical introduction to understanding and using information graphics, you'll learn how to use data visualizations as tools to see beyond lists of numbers and variables and achieve new insights into the complex world around us. Regardless of the kind of data you're working with-business, science, politics, sports, or even your own personal finances-this book will show you how to use statistical charts, maps, and explanation diagrams to spot the stories in the data and learn new things from it.You'll also get to peek into the creative process of some of the world's most talented designers and visual journalists, including Conde Nast Traveler's John Grimwade, National Geographic Magazine's Fernando Baptista, The New York Times' Steve Duenes, The Washington Post's Hannah Fairfield, Hans Rosling of the Gapminder Foundation, Stanford's Geoff McGhee, and European superstars Moritz Stefaner, Jan Willem Tulp, Stefanie Posavec, and Gregor Aisch. The book also includes a DVD-ROM containing over 90 minutes of video lessons that expand on core concepts explained within the book and includes even more inspirational information graphics from the world's leading designers.The first book to offer a broad, hands-on introduction to information graphics and visualization, The Functional Art reveals:- Why data visualization should be thought of as "functional art" rather than fine art - How to use color, type, and other graphic tools to make your information graphics more effective, not just better looking - The science of how our brains perceive and remember information - Best practices for creating interactive information graphics - A comprehensive look at the creative process behind successful information graphics - An extensive gallery of inspirational work from the world's top designers and visual artistsOn the DVD-ROM: In this introductory video course on information graphics, Alberto Cairo goes into greater detail with even more visual examples of how to create effective information graphics that function as practical tools for aiding perception. You'll learn how to: incorporate basic design principles in your visualizations, create simple interfaces for interactive graphics, and choose the appropriate type of graphic forms for your data. Cairo also deconstructs successful information graphics from The New York Times and National Geographic magazine with sketches and images not shown in the book.

    You can't know what it does until it happens to you...until everyone is chin-deep in millions of dollars."Dirty Dealing, a true story, chronicles the rise and fall of the house of Chagra. The Chagra brothers of El Paso were pioneers in smuggling drugs across the Mexican border, and were infamous for their fabulous wealth. But in the end Lee Chagra was gunned down, a federal judge was assassinated, Jimmy and Joe Chagra were imprisoned, and Charles Harrelson (Woody Harrelson’s father) was convicted for Wood’s murder. When Federal Judge John "Maximum" Wood was gunned down outside his home in San Antonio, Texas in 1979 (the only assassination of a federal judge in more than 100 years) his death sent waves of shock across the country. The FBI labeled it "the crime of the century." Former President Nixon expressed "outrage," calling for quick arrest and punishment. But the crime’s solution would be anything but quick. Dragging on for years and costing $11.4 million, the investigation turned out to be the largest in recent FBI history, surpassing even that of President John F. Kennedy’s assassination. Gary Cartwright, senior editor of Texas Monthly and author of several nonfiction bestsellers, details the full history of the events leading up to this crime and the trials that followed in Dirty Dealing. This reprint from Cinco Puntos Press includes a new afterword by the author and black and white photographs of all the players. Complete with shady maneuverings on the part of the federal government and an outcome that Kirkus Reviews has called "straight from Oz," Dirty Dealing is one of the richest and most fascinating of all true crime stories.

    The point of this cookbook and all my cookbooks is to exemplify the effortless nature of cooking simply. In this book we focus on Doughnuts. The Easy Doughnut Cookbook is a complete set of simple but very unique Doughnut recipes. You will find that even though the Doughnuts are simple, the tastes are quite amazing. So will you join me in an adventure of simple cooking? Here is a Preview of the Recipes You Will Learn: Classical Doughnuts Jelly Doughnuts Muffin Doughnuts Polish Doughnuts Bread Pudding Doughnuts Much, much more! Pick up this cookbook today and get ready to make some interesting and great tasting Doughnuts! Take action NOW! Download this book for a limited time discount of only $2.990.99! Related Searches: doughnuts, doughnut cookbook, doughnut recipes, easy doughnut cookbook, simple doughnut recipes, free doughnut recipes

    Leading missiologist Ed Stetzer and his associates first offer a detailed investigation of the four younger unchurched types. With a better understanding of their unique experiences, they next clarify the importance each type places on community, depth of content, social responsibility, and making cross-generational connections in relation to spiritual matters.Most valuably, Lost and Found finds the churches that have learned to reach unchurched young adults by paying close attention to those key markers vetted by the research. Their exciting stories will make it clear how your church can bring searching souls from this culture to authentic faith in Christ.Those who are lost can indeed be found. Come take a closer look.

    With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."-- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."-- Tim Wolters, CTO, Collective Intellect

    The novel approach taken here banishes determinants to the end of the book and focuses on the central goal of linear algebra: understanding the structure of linear operators on vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. For example, the book presents - without having defined determinants - a clean proof that every linear operator on a finite-dimensional complex vector space (or an odd-dimensional real vector space) has an eigenvalue. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra. This second edition includes a new section on orthogonal projections and minimization problems. The sections on self-adjoint operators, normal operators, and the spectral theorem have been rewritten. New examples and new exercises have been added, several proofs have been simplified, and hundreds of minor improvements have been made throughout the text.

    Mike Loukides kicked things off in June 2010 with “What is data science?” and from there we’ve pursued the various threads and themes that naturally emerged. Now, roughly a year later, we can look back over all we’ve covered and identify a number of core data areas: Data issues -- The opportunities and ambiguities of the data space are evident in discussions around privacy, the implications of data-centric industries, and the debate about the phrase “data science” itself. The application of data: products and processes – A “data product” can emerge from virtually any domain, including everything from data startups to established enterprises to media/journalism to education and research. Data science and data tools -- The tools and technologies that drive data science are of course essential to this space, but the varied techniques being applied are also key to understanding the big data arena.The business of data – Take a closer look at the actions connected to data -- the finding, organizing, and analyzing that provide organizations of all sizes with the information they need to compete.

    Every Nmap feature is covered with visual examples to help you quickly understand and identify proper usage for practical results.Topics covered include:* Installation on Windows, Mac OS X, Unix/Linux platforms* Basic and advanced scanning techniques* Network inventory and security auditing* Firewall evasion techniques* Zenmap - A graphical front-end for Nmap* NSE - The Nmap Scripting Engine* Ndiff - A Nmap scan comparison utilitySimplified coverage of Nmap 5.00 features.

    Packed with the same reliable information and breathtaking color photography as our DK Eyewitness Travel Guides, DK Eyewitness Travel Top 10 Guides are fully illustrated, pocket-sized travel guides, with handy pull-out maps marking all the major sights.

    Switching from thin tailed to fat tailed distributions requires more than "changing the color of the dress." Traditional asymptotics deal mainly with either n=1 or n=∞, and the real world is in between, under the "laws of the medium numbers"-which vary widely across specific distributions. Both the law of large numbers and the generalized central limit mechanisms operate in highly idiosyncratic ways outside the standard Gaussian or Levy-Stable basins of convergence. A few examples: - The sample mean is rarely in line with the population mean, with effect on "na�ve empiricism," but can be sometimes be estimated via parametric methods. - The "empirical distribution" is rarely empirical. - Parameter uncertainty has compounding effects on statistical metrics. - Dimension reduction (principal components) fails. - Inequality estimators (Gini or quantile contributions) are not additive and produce wrong results. - Many "biases" found in psychology become entirely rational under more sophisticated probability distributions. - Most of the failures of financial economics, econometrics, and behavioral economics can be attributed to using the wrong distributions. This book, the first volume of the Technical Incerto, weaves a narrative around published journal articles.

    Author Benjamin Radford has investigated unexplained phenomena for over a decade, not just read or written about them, but actually gone out to see what's there. Unlike most other books and reality TV shows on the supernatural or paranormal, Radford strictly adheres to scientific methods. In a nutshell, Scientific Paranormal Investigation is the equivalent of The X-Files meets CSI: Crime Scene Investigations: applying scientific methods and principles to real-life mysteries, and coming up with explanations when it seems none are possible. Whether the subject is a crime scene or a haunted house, the questions are the same: What did eyewitnesses see? What does the evidence show? If the paranormal ghosts, psychics, or Bigfoot really exist, there should be valid scientific evidence for them. Scientific Paranormal Investigation draws from dozens of cases and mysteries, explaining step-by-step the science-based methods Radford used to solve them.

    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. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and impressive feats of automation to: Search for text in a file or across multiple filesCreate, update, move, and rename files and foldersSearch the Web and download online contentUpdate and format data in Excel spreadsheets of any sizeSplit, merge, watermark, and encrypt PDFsSend reminder emails and text notificationsFill out online formsStep-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.""

    In Data Points: Visualization That Means Something, author Nathan Yau presents an intriguing complement to his bestseller Visualize This, this time focusing on the graphics side of data analysis. Using examples from art, design, business, statistics, cartography, and online media, he explores both standard-and not so standard-concepts and ideas about illustrating data.Shares intriguing ideas from Nathan Yau, author of Visualize This and creator of flowingdata.com, with over 66,000 subscribers Focuses on visualization, data graphics that help viewers see trends and patterns they might not otherwise see in a table Includes examples from the author's own illustrations, as well as from professionals in statistics, art, design, business, computer science, cartography, and more Examines standard rules across all visualization applications, then explores when and where you can break those rules Create visualizations that register at all levels, with Data Points: Visualization That Means Something.