As John invested in these skills his career took off, and he became a highly paid, highly sought-after developer and consultant. Today John helps more than 1.4 million programmers every year to increase their income by developing this unique blend of skills. "If you're a developer, green or a veteran, you owe it to yourself to read The Complete Software Developers Career Guide." - Jason Down, Platform Developer, Ontario, Canada What You Will Learn in This Book How to systematically find and fill the gaps in your technical knowledge so you can face any new challenge with confidence Should you take contract work - or hold out for a salaried position? Which will earn you more, what the tradeoffs are, and how your personality should sway your choice Should you learn JavaScript, C#, Python, C++? How to decide which programming language you should master first Ever notice how every job ever posted requires "3-5 years of experience," which you don't have? Simple solution for this frustrating chicken-and-egg problem that allows you to build legitimate job experience while you learn to code Is earning a computer science degree a necessity - or a total waste of time? How to get a college degree with maximum credibility and minimum debt Coding bootcampssome are great, some are complete scams. How to tell the difference so you don't find yourself cheated out of $10,000 Interviewer tells you, "Dress code is casual around here - the development team wears flipflops." What should you wear? How do you deal with a boss who's a micromanager. Plus how helping your manager with his goals can make you the MVP of your team The technical skills that every professional developer must have - but no one teaches you (most developers are missing some critical pieces, they don't teach this stuff in college, you're expected to just "know" this) An inside look at the recruiting industry. What that "friendly" recruiter really wants from you, how they get paid, and how to avoid getting pigeonholed into a job you'll hate Who Should Read This Book Entry-Level Developers This book will show you how to ensure you have the technical skills your future boss is looking for, create a resume that leaps off a hiring manager's desk, and escape the "no work experience" trap. Mid-Career Developers You'll see how to find and fill in gaps in your technical knowledge, position yourself as the one team member your boss can't live without, and turn those dreaded annual reviews into chance to make an iron-clad case for your salary bump. Senior Developers This book will show you how to become a specialist who can command above-market wages, how building a name for yourself can make opportunities come to you, and how to decide whether consulting or entrepreneurship are paths you should pursue.

    Well-run blogs do more than offer an outlet for your thoughts. They've actually influenced everything from a company's image to the outcome of a local election. Because the blogosphere is pretty crowded, it's a good idea to find out a bit about the anatomy of a blog, what makes a good one, and what it takes to keep one going before you dive right in and start sharing with the world. Blogging For Dummies, 2nd Edition gives you all the basics so you can get a good start. And if you've been around the blog a few times and want to advance to the next level, Blogging For Dummies, 2nd Edition even takes a look at podcasting and videoblogging.You'll find out how to:Make your blog stand out in a crowd, build an audience, and even make it pay Choose the best software options, boost readership, and handle comments Generate revenue from your blog with ads and sponsorships Protect your privacy and your job Deal with spam and the inappropriate comments from that guy who posts several times a day Find your niche Attract and keep readers Use your blog to promote your business, cause, or organization Add audio, video, cool widgets, and more Ready? Get Blogging for Dummies and let's get started!

    People in previous generations tended to pick one professional path and stick to it. Switching companies every few years wasn't the norm, and changing careers was even rarer.Today's career trajectories aren't so scripted and linear. Technology has given rise to new positions that never before existed, which means we are choosing from a much broader set of career options--and have even more opportunities to find work that lights us up. However, we don't discover and apply for jobs the same way anymore, and employers don't find applicants the way they used to. Isn't it about time we had a playbook for navigating it all?Kathryn Minshew and Alexandra Cavoulacos, founders of the popular career website TheMuse.com, offer the definitive guide to the modern workplace. Through quick exercises and structured tips, you will learn:- The New Rules for finding the right path: Sift through, and narrow today's ever-growing menu of job and career options, using the simple step-by-step Muse Method.- The New Rules for landing the perfect job: Build your personal brand, and communicate exactly how you can contribute and why your experience is valuable in a way that is sure to get the attention of your dream employer. Then ace every step of the interview process, from getting a foot in the door to negotiating your offer.- The New Rules for growing and advancing in your career: Mastering first impressions, the art of communication, networking, managing up and other "soft" skills - and make it obvious that whatever level you're at, you're ready to get ahead.Whether you are starting out in your career, looking to advance, navigating a mid-career shift, or anywhere in between, this is the book you need to thrive in the New World of Work.

    Covering everything from basic Java development concepts to the latest tools and techniques used in Java, this book will put would-be programmers on their way to Java mastery Explores what goes into creating a program, how to put the pieces together, dealing with standard programming challenges, debugging, and making it work Updated for the release of the Java SDK 2.0, with all examples revised to reflect the changes in the technology

    Data Science For Dummies is the perfect starting point for IT professionals and students interested in making sense of their organization’s massive data sets and applying their findings to real-world business scenarios. From uncovering rich data sources to managing large amounts of data within hardware and software limitations, ensuring consistency in reporting, merging various data sources, and beyond, you’ll develop the know-how you need to effectively interpret data and tell a story that can be understood by anyone in your organization. Provides a background in data science fundamentals before moving on to working with relational databases and unstructured data and preparing your data for analysis Details different data visualization techniques that can be used to showcase and summarize your data Explains both supervised and unsupervised machine learning, including regression, model validation, and clustering techniques Includes coverage of big data processing tools like MapReduce, Hadoop, Dremel, Storm, and Spark It’s a big, big data world out there – let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

    “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior.In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing.www.big-data-book.com

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    R is packed with powerful programming capabilities, but learning to use R in the real world can be overwhelming for even the most seasoned statisticians. This easy-to-follow guide explains how to use R for data processing and statistical analysis, and then, shows you how to present your data using compelling and informative graphics. You'll gain practical experience using R in a variety of settings and delve deeper into R's feature-rich toolset.Includes tips for the initial installation of RDemonstrates how to easily perform calculations on vectors, arrays, and lists of dataShows how to effectively visualize data using R's powerful graphics packagesGives pointers on how to find, install, and use add-on packages created by the R communityProvides tips on getting additional help from R mailing lists and websitesWhether you're just starting out with statistical analysis or are a procedural programming pro, "R For Dummies" is the book you need to get the most out of R.

    People need to be effective.Productivity books focus on doing more, Jim and Tonianne want you to focus on doing better. Personal Kanban is about choosing the right work at the right time. Recognizing why we do the things we do. Understanding the impact of our actions. Creating value - not just product. For ourselves, our families, our friends, our co-workers. For our legacy.Personal Kanban takes the same Lean principles from manufacturing that led the Japanese auto industry to become a global leader in quality, and applies them to individual and team work. Personal Kanban asks only that we visualize our work and limit our work-in-progress. Visualizing work allows us to transform our conceptual and threatening workload into an actionable, context-sensitive flow. Limiting our work-in-progress helps us complete what we start and understand the value of our choices. Combined, these two simple acts encourage us to improve the way we work and the way we make choices to balance our personal, professional, and social lives.Neither a prescription nor a plan, Personal Kanban provides a light, actionable, achievable framework for understanding our work and its context. This book describes why students, parents, business leaders, major corporations, and world governments all see immediate results with Personal Kanban.

    Dr. Sutton reveals new insights that he's learned since the writing of Good Boss, Bad Boss. Sutton adds revelatory thoughts about such legendary bosses as Ed Catmull, Steve Jobs, A.G. Lafley, and many more, and how you can implement their techniques. If you are a boss who wants to do great work, what can you do about it? Good Boss, Bad Boss is devoted to answering that question. Stanford Professor Robert Sutton weaves together the best psychological and management research with compelling stories and cases to reveal the mindset and moves of the best (and worst) bosses. This book was inspired by the deluge of emails, research, phone calls, and conversations that Dr. Sutton experienced after publishing his blockbuster bestseller The No Asshole Rule. He realized that most of these stories and studies swirled around a central figure in every workplace: THE BOSS. These heart-breaking, inspiring, and sometimes funny stories taught Sutton that most bosses - and their followers - wanted a lot more than just a jerk-free workplace. They aspired to become (or work for) an all-around great boss, somebody with the skill and grit to inspire superior work, commitment, and dignity among their charges. As Dr. Sutton digs into the nitty-gritty of what the best (and worst) bosses do, a theme runs throughout Good Boss, Bad Boss - which brings together the diverse lessons and is a hallmark of great bosses: They work doggedly to "stay in tune" with how their followers (and superiors, peers, and customers too) react to what they say and do. The best bosses are acutely aware that their success depends on having the self-awareness to control their moods and moves, to accurately interpret their impact on others, and to make adjustments on the fly that continuously spark effort, dignity, and pride among their people.

    Social media marketing is a cheaper and highly effective way to spread up-to-the-minute news; an easy, inexpensive way to enlarge your audience, customers, and business.Social Media Marketing For Dummies provides an indispensable resource for small businesses and start-ups looking for low-cost online marketing strategies, as well as for marketers in larger companies who want to be more involved with social media. Learn which social media site best fits you and your business and how to:Use Twitter, blogs, Facebook, and other social media outlets to full advantage Create your own online spokesperson for your brand Identify social media sites that appeal to your target audience Tell which social platform works for which objectives Develop a unique, Google-able voice in social media Optimize your page to attract clicks and customers Set up a program to assess your success and measure your results Social Media Marketing helps you learn the art of social media marketing to build your business to its full potential. Includes contributions by Michael Becker, Jeannette Kocsis and Ryan Williams

    No academic analysis or bystander’s account can capture it. Now Doug Edwards, Employee Number 59, offers the first inside view of Google, giving readers a chance to fully experience the bizarre mix of camaraderie and competition at this phenomenal company. Edwards, Google’s first director of marketing and brand management, describes it as it happened. We see the first, pioneering steps of Larry Page and Sergey Brin, the company’s young, idiosyncratic partners; the evolution of the company’s famously nonhierarchical structure (where every employee finds a problem to tackle or a feature to create and works independently); the development of brand identity; the races to develop and implement each new feature; and the many ideas that never came to pass. Above all, Edwards—a former journalist who knows how to write—captures the “Google Experience,” the rollercoaster ride of being part of a company creating itself in a whole new universe. I’m Feeling Lucky captures for the first time the unique, self-invented, yet profoundly important culture of the world’s most transformative corporation.

    But if one per year is good, how about Seven Languages in Seven Weeks? In this book you'll get a hands-on tour of Clojure, Haskell, Io, Prolog, Scala, Erlang, and Ruby. Whether or not your favorite language is on that list, you'll broaden your perspective of programming by examining these languages side-by-side. You'll learn something new from each, and best of all, you'll learn how to learn a language quickly. Ruby, Io, Prolog, Scala, Erlang, Clojure, Haskell. With Seven Languages in Seven Weeks, by Bruce A. Tate, you'll go beyond the syntax-and beyond the 20-minute tutorial you'll find someplace online. This book has an audacious goal: to present a meaningful exploration of seven languages within a single book. Rather than serve as a complete reference or installation guide, Seven Languages hits what's essential and unique about each language. Moreover, this approach will help teach you how to grok new languages. For each language, you'll solve a nontrivial problem, using techniques that show off the language's most important features. As the book proceeds, you'll discover the strengths and weaknesses of the languages, while dissecting the process of learning languages quickly--for example, finding the typing and programming models, decision structures, and how you interact with them. Among this group of seven, you'll explore the most critical programming models of our time. Learn the dynamic typing that makes Ruby, Python, and Perl so flexible and compelling. Understand the underlying prototype system that's at the heart of JavaScript. See how pattern matching in Prolog shaped the development of Scala and Erlang. Discover how pure functional programming in Haskell is different from the Lisp family of languages, including Clojure. Explore the concurrency techniques that are quickly becoming the backbone of a new generation of Internet applications. Find out how to use Erlang's let-it-crash philosophy for building fault-tolerant systems. Understand the actor model that drives concurrency design in Io and Scala. Learn how Clojure uses versioning to solve some of the most difficult concurrency problems. It's all here, all in one place. Use the concepts from one language to find creative solutions in another-or discover a language that may become one of your favorites.

     -Byte, September 1995 I can't begin to tell you how many pleasurable hours of study and recreation they have afforded me! I have pored over them in cars, restaurants, at work, at home... and even at a Little League game when my son wasn't in the line-up. -Charles Long If you think you're a really good programmer... read [Knuth's] Art of Computer Programming... You should definitely send me a resume if you can read the whole thing. -Bill Gates It's always a pleasure when a problem is hard enough that you have to get the Knuths off the shelf. I find that merely opening one has a very useful terrorizing effect on computers. -Jonathan Laventhol This first volume in the series begins with basic programming concepts and techniques, then focuses more particularly on information structures-the representation of information inside a computer, the structural relationships between data elements and how to deal with them efficiently. Elementary applications are given to simulation, numerical methods, symbolic computing, software and system design. Dozens of simple and important algorithms and techniques have been added to those of the previous edition. The section on mathematical preliminaries has been extensively revised to match present trends in research. Ebook (PDF version) produced by Mathematical Sciences Publishers (MSP), http: //msp.org