As the words "at work" suggest, Peter Seibel focuses on how his interviewees tackle the day–to–day work of programming, while revealing much more, like how they became great programmers, how they recognize programming talent in others, and what kinds of problems they find most interesting. Hundreds of people have suggested names of programmers to interview on the Coders at Work web site: http://www.codersatwork.com. The complete list was 284 names. Having digested everyone’s feedback, we selected 16 folks who’ve been kind enough to agree to be interviewed:- Frances Allen: Pioneer in optimizing compilers, first woman to win the Turing Award (2006) and first female IBM fellow- Joe Armstrong: Inventor of Erlang- Joshua Bloch: Author of the Java collections framework, now at Google- Bernie Cosell: One of the main software guys behind the original ARPANET IMPs and a master debugger- Douglas Crockford: JSON founder, JavaScript architect at Yahoo!- L. Peter Deutsch: Author of Ghostscript, implementer of Smalltalk-80 at Xerox PARC and Lisp 1.5 on PDP-1- Brendan Eich: Inventor of JavaScript, CTO of the Mozilla Corporation - Brad Fitzpatrick: Writer of LiveJournal, OpenID, memcached, and Perlbal - Dan Ingalls: Smalltalk implementor and designer- Simon Peyton Jones: Coinventor of Haskell and lead designer of Glasgow Haskell Compiler- Donald Knuth: Author of The Art of Computer Programming and creator of TeX- Peter Norvig: Director of Research at Google and author of the standard text on AI- Guy Steele: Coinventor of Scheme and part of the Common Lisp Gang of Five, currently working on Fortress- Ken Thompson: Inventor of UNIX- Jamie Zawinski: Author of XEmacs and early Netscape/Mozilla hackerWhat you’ll learn:How the best programmers in the world do their jobWho is this book for?Programmers interested in the point of view of leaders in the field. Programmers looking for approaches that work for some of these outstanding programmers.

    But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science.Topics include:Statistical inference, exploratory data analysis, and the data science processAlgorithmsSpam filters, Naive Bayes, and data wranglingLogistic regressionFinancial modelingRecommendation engines and causalityData visualizationSocial networks and data journalismData engineering, MapReduce, Pregel, and HadoopDoing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.

    This is the second edition of the groundbreaking book by Rena Palloff and Keith Pratt and has been completely updated and expanded to include the most current information on effective online course development and delivery. A practical, hands-on guide, this resource is filled with illustrative case studies, vignettes, and examples from a wide variety of successful online courses. The authors offer proven strategies for handling challenges that include: Engaging students in the formation of an online learning community. Establishing a sense of presence online. Maximizing participation. Developing effective courses that include collaboration and reflection. Assessing student performance. Written for faculty in any distance learning environment, this revised edition is based on the authors many years of work in faculty development for online teaching as well as their extensive personal experience as faculty in online distance education. Rena M. Palloff and Keith Pratt share insights designed to guide readers through the steps of online course design and delivery.

    Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work.Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals Authors are experts in information management, big data, and a variety of solutions Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more Provides essential information in a no-nonsense, easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.

    The 15 project-based lessons in this book show readers step-by-step the key techniques for working in Illustrator CS6 and how to create vector artwork for virtually any project and across multiple media: print, websites, interactive projects, and video. In addition to learning the key elements of the Illustrator interface, this completely revised CS6 edition covers the new tracing engine with improved shape and color recognition, a new pattern toolset with on-artboard controls and one-click tiling, a completely overhauled performance engine and modernized user interface for working more efficiently and intuitively, and more. "The Classroom in a Book series is by far the best training material on the market. Everything you need to master the software is included: clear explanations of each lesson, step-by-step instructions, and the project files for the students." --Barbara Binder, Adobe Certified Instructor, Rocky Mountain Training Classroom in a Book(R), the best-selling series of hands-on software training workbooks, helps you learn the features of Adobe software quickly and easily. Classroom in a Book offers what no other book or training program does--an official training series from Adobe Systems Incorporated, developed with the support of Adobe product experts.

    Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video.With Beautiful Data, you will: Explore the opportunities and challenges involved in working with the vast number of datasets made available by the Web Learn how to visualize trends in urban crime, using maps and data mashups Discover the challenges of designing a data processing system that works within the constraints of space travel Learn how crowdsourcing and transparency have combined to advance the state of drug research Understand how new data can automatically trigger alerts when it matches or overlaps pre-existing data Learn about the massive infrastructure required to create, capture, and process DNA data That's only small sample of what you'll find in Beautiful Data. For anyone who handles data, this is a truly fascinating book. Contributors include:Nathan Yau Jonathan Follett and Matt Holm J.M. Hughes Raghu Ramakrishnan, Brian Cooper, and Utkarsh Srivastava Jeff Hammerbacher Jason Dykes and Jo Wood Jeff Jonas and Lisa Sokol Jud Valeski Alon Halevy and Jayant Madhavan Aaron Koblin with Valdean Klump Michal Migurski Jeff Heer Coco Krumme Peter Norvig Matt Wood and Ben Blackburne Jean-Claude Bradley, Rajarshi Guha, Andrew Lang, Pierre Lindenbaum, Cameron Neylon, Antony Williams, and Egon Willighagen Lukas Biewald and Brendan O'Connor Hadley Wickham, Deborah Swayne, and David Poole Andrew Gelman, Jonathan P. Kastellec, and Yair Ghitza Toby Segaran

    Identity Theft. Corporate Espionage. National secrets compromised. Can anyone promise security in our digital world?The man who introduced cryptography to the boardroom says no. But in this fascinating read, he shows us how to come closer by developing security measures in terms of context, tools, and strategy. Security is a process, not a product – one that system administrators and corporate executives alike must understand to survive.This edition updated with new information about post-9/11 security.

    

    More than four dozen architects -- including Neal Ford, Michael Nygard, and Bill de hOra -- offer advice for communicating with stakeholders, eliminating complexity, empowering developers, and many more practical lessons they've learned from years of experience. Among the 97 principles in this book, you'll find useful advice such as:Don't Put Your Resume Ahead of the Requirements (Nitin Borwankar) Chances Are, Your Biggest Problem Isn't Technical (Mark Ramm) Communication Is King; Clarity and Leadership, Its Humble Servants (Mark Richards) Simplicity Before Generality, Use Before Reuse (Kevlin Henney) For the End User, the Interface Is the System (Vinayak Hegde) It's Never Too Early to Think About Performance (Rebecca Parsons) To be successful as a software architect, you need to master both business and technology. This book tells you what top software architects think is important and how they approach a project. If you want to enhance your career, 97 Things Every Software Architect Should Know is essential reading.

    KEY TOPICS: Specific, practical strategies include ways to get students active from the start through activities that build teamwork and immediately get them thinking about the subject matter. 101 activities include ice-breakers for the beginning of class, strategies for the middle of a lesson, and concluding exercises to foster student reflection and future application. In addition, these activities are designed to enliven learning, deepen understanding, and promote retention. Designed for the preservice and inservice teacher, this book is effective for anyone teaching in middle schools, high schools, colleges, and centers for adult education. For professionals working in middle school/secondary school education.

    Although compensated by the bank for it, she knows one thing! No woman can cash a check in 1874, nor handle her own financial affairs. She needs to find a solution, fast! When she heads to find her last living male relative, she will discover a terrible truth. He was killed just a short time ago. With her options being thinned out, how is she going to overcome her complicated situation? Alejandro O’Connor, or Alex, as everyone calls him, a former veteran soldier, is now the Town Marshal of Mahoka Hills. Leading a solitary life, he finds no place for a woman in it, until Rose arrives in town. When he realizes the reason why she came, he understands he has a guilty secret that could destroy her. Will he choose honesty over his growing feelings, risking to miss his only chance to love?Their attraction is undeniable, but unfortunate events conspire to keep each one of them on their solitary path. Will this continual push-pull battle between the two of them come to an end? Will they finally stop running away from their true feelings and make way for their love to blossom?"A Love Kept Apart By Lies" is a historical western romance novel of approximately 80,000 words. No cheating, no cliffhangers, and a guaranteed happily ever after.

    Cassandra: The Definitive Guide provides the technical details and practical examples you need to assess this database management system and put it to work in a production environment.Author Eben Hewitt demonstrates the advantages of Cassandra's nonrelational design, and pays special attention to data modeling. If you're a developer, DBA, application architect, or manager looking to solve a database scaling issue or future-proof your application, this guide shows you how to harness Cassandra's speed and flexibility.Understand the tenets of Cassandra's column-oriented structureLearn how to write, update, and read Cassandra dataDiscover how to add or remove nodes from the cluster as your application requiresExamine a working application that translates from a relational model to Cassandra's data modelUse examples for writing clients in Java, Python, and C#Use the JMX interface to monitor a cluster's usage, memory patterns, and moreTune memory settings, data storage, and caching for better performance

    In this book, author Gojko Adzic distills interviews with successful teams worldwide, sharing how they specify, develop, and deliver software, without defects, in short iterative delivery cycles.About the Technology Specification by Example is a collaborative method for specifying requirements and tests. Seven patterns, fully explored in this book, are key to making the method effective. The method has four main benefits: it produces living, reliable documentation; it defines expectations clearly and makes validation efficient; it reduces rework; and, above all, it assures delivery teams and business stakeholders that the software that's built is right for its purpose.About the Book This book distills from the experience of leading teams worldwide effective ways to specify, test, and deliver software in short, iterative delivery cycles. Case studies in this book range from small web startups to large financial institutions, working in many processes including XP, Scrum, and Kanban.This book is written for developers, testers, analysts, and business people working together to build great software.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 InsideCommon process patterns How to avoid bad practices Fitting SBE in your process 50+ case studies For additional resources go to specificationbyexample.com.

    Building on their experience as professional systems analysts and award-winning teachers, authors Dennis, Wixom, and Roth capture the experience of developing and analyzing systems in a way that students can understand and apply.With Systems Analysis and Design, 4th edition , students will leave the course with experience that is a rich foundation for further work as a systems analyst.

    In its most simple form, earned value equates to fundamental project management. This is not a new book, but rather it is an updated book. Authors Quentin Fleming and Joel Koppelman have made some important additions. In many cases, there will be no changes to a given section. But in other sections, the authors have made substantial revisions to what they had described in the first edition. Fleming and Koppelman’s goal remains the same with this update: describe earned value project management in its most fundamental form, for application to all projects, of any size or complexity. Writing in an easy-to-read, friendly, and humorous style characteristic of the best teachers, Fleming and Koppelman have identified the minimum requirements that they feel are necessary to use earned value as a simple tool for project managers. They have also witnessed the use of simple earned value on software projects, and find it particularly exciting. Realistically, a Cost Performance Index (CPI) is the same whether the project is a multibillion-dollar high-technology project, or a simple one hundred thousand-dollar software project. A CPI is a CPI … period. It is a solid metric that reflects the health of the project. In every chapter, Fleming and Koppelman stick with using simple stories to define their central concept. Their project examples range from peeling potatoes to building a house. Examples are in round numbers, and most formulas get no more complicated than one number divided by another. Earned Value Project Management—Second Edition may be the best-written, most easily understood project management book on the market today. Project managers will welcome this fresh translation of jargon into ordinary English. The authors have mastered a unique "early-warning" signal of impending cost problems in time for the project manager to react.