But David Airey’s “Logo Design Love” is something different: it’s a guide for designers (and clients) who want to understand what this mysterious business is all about. Written in reader-friendly, concise language, with a minimum of designer jargon, Airey gives a surprisingly clear explanation of the process, using a wide assortment of real-life examples to support his points. Anyone involved in creating visual identities, or wanting to learn how to go about it, will find this book invaluable. - Tom Geismar, Chermayeff & GeismarIn Logo Design Love, Irish graphic designer David Airey brings the best parts of his wildly popular blog of the same name to the printed page. Just as in the blog, David fills each page of this simple, modern-looking book with gorgeous logos and real world anecdotes that illustrate best practices for designing brand identity systems that last. David not only shares his experiences working with clients, including sketches and final results of his successful designs, but uses the work of many well-known designers to explain why well-crafted brand identity systems are important, how to create iconic logos, and how to best work with clients to achieve success as a designer. Contributors include Gerard Huerta, who designed the logos for Time magazine and Waldenbooks; Lindon Leader, who created the current FedEx brand identity system as well as the CIGNA logo; and many more. Readers will learn:• Why one logo is more effective than another• How to create their own iconic designs• What sets some designers above the rest• Best practices for working with clients• 25 practical design tips for creating logos that last

    Now, in an even more forward-thinking and necessary book, he shows how to take that critical next step on a creative journey—getting known. Show Your Work! is about why generosity trumps genius. It’s about getting findable, about using the network instead of wasting time “networking.” It’s not self-promotion, it’s self-discovery—let others into your process, then let them steal from you. Filled with illustrations, quotes, stories, and examples, Show Your Work! offers ten transformative rules for being open, generous, brave, productive. In chapters such as You Don’t Have to Be a Genius; Share Something Small Every Day; and Stick Around, Kleon creates a user’s manual for embracing the communal nature of creativity— what he calls the “ecology of talent.” From broader life lessons about work (you can’t find your voice if you don’t use it) to the etiquette of sharing—and the dangers of oversharing—to the practicalities of Internet life (build a good domain name; give credit when credit is due), it’s an inspiring manifesto for succeeding as any kind of artist or entrepreneur in the digital age.

    But few of us realize just how many oversights, biases, and downright ethical nightmares are baked inside the tech products we use every day. It’s time we change that.In Technically Wrong, Sara Wachter-Boettcher demystifies the tech industry, leaving those of us on the other side of the screen better prepared to make informed choices about the services we use—and to demand more from the companies behind them.

    Data--our data--is mined and processed for profit, power, and political gain. In Living in Data, Thorp asks a crucial question of our time: How do we stop passively inhabiting data, and instead become active citizens of it?Threading a data story through hippo attacks, glaciers, and school gymnasiums, around colossal rice piles, and over active minefields, Living in Data reminds us that the future of data is still wide open, that there are ways to transcend facts and figures and to find more visceral ways to engage with data, that there are always new stories to be told about how data can be used.Punctuated with Thorp's original and informative illustrations, Living in Data not only redefines what data is, but reimagines who gets to speak its language and how to use its power to create a more just and democratic future. Timely and inspiring, Living in Data gives us a much-needed path forward.

    But what about the elements that make up a picture? Using the tale of Little Red Riding Hood as an example, Molly Bang uses boldly graphic artwork to explain how images -- and their individual components -- work to tell a story that engages the emotions: Why are diagonals dramatic? Why are curves calming? Why does red feel hot and blue feel cold?

    Polya, How to Solve It will show anyone in any field how to think straight. In lucid and appealing prose, Polya reveals how the mathematical method of demonstrating a proof or finding an unknown can be of help in attacking any problem that can be reasoned out--from building a bridge to winning a game of anagrams. Generations of readers have relished Polya's deft--indeed, brilliant--instructions on stripping away irrelevancies and going straight to the heart of the problem.

    Like its sister textbook, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is enhanced by a cast of characters to help the reader on their way, hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more.

    In Web Form Design, Luke Wroblewski draws on original research, his considerable experience at Yahoo! and eBay, and the perspectives of many of the field's leading designers to show you everything you need to know about designing effective and engaging Web forms.

    The History of the World, but not as you know it.A new type of history is here – all 13.8 billion years of it, exploded into a visually jaw-dropping feast of facts, trends and timelines that tell you everything you’d ever want to know about the history of the world.From the primordial soup to the technological revolution of the 21st century, interesting stuff has been going on; and ever since prehistoric man scratched the first tally markings into a damp cave wall, we’ve been counting and measuring it all.Which historic warriors conquered the most territory, killed the most people, or had the largest empire?When did everything evolve?Which languages are related to which?What’s been invented and when?Where are we being born, and what are we dying of?Which countries are eating all the food, causing all the pollution and taking all the drugs?A story of civilisation and barbarism, of war and peace, this is history done in a new way – a beautifully designed collection of the most insightful and revealing trends that tell us what the human race has been up to, and where we’re heading.

    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.

    Now released with a fresh new cover, its more than a thousand line drawings illustrate effective design devices, type treatments, spatial solutions, and pictorial presentations, allowing examination and comparison of various options in no time. The Graphic Design Cookbook can be opened to virtually any page for instant access to great ideas. As a catalyst for cooking up endless new design recipes, this classic goes on inspiring one generation of designers to the next.

    Freed from the rigorous constraints of designing for real users, sci-fi production designers develop blue-sky interfaces that are inspiring, humorous, and even instructive. By carefully studying these "outsider" user interfaces, designers can derive lessons that make their real-world designs more cutting edge and successful.

    In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

    With this book, you'll learn how to load data, assemble and disassemble data objects, navigate R's environment system, write your own functions, and use all of R's programming tools.RStudio Master Instructor Garrett Grolemund not only teaches you how to program, but also shows you how to get more from R than just visualizing and modeling data. You'll gain valuable programming skills and support your work as a data scientist at the same time.Work hands-on with three practical data analysis projects based on casino gamesStore, retrieve, and change data values in your computer's memoryWrite programs and simulations that outperform those written by typical R usersUse R programming tools such as if else statements, for loops, and S3 classesLearn how to write lightning-fast vectorized R codeTake advantage of R's package system and debugging toolsPractice and apply R programming concepts as you learn them

    Unfortunately, when the basic rules of design are ignored in an effort to be distinctive, design becomes useless. In language, a departure from the rules is only appreciated as great literature if recognition of the rules underlies the text. Graphic design is a "visual language," and brilliance is recognized in designers whose work seems to break all the rules, yet communicates its messages clearly.This book is a fun and accessible handbook that presents the fundamentals of design in lists, tips, brief text, and examples. Chapters include Graphic Design: What It Is; What Are They and What Do They Do?; 20 Basic Rules of Good Design; Form and Space-The Basics; Color Fundamentals; Choosing and Using Type; The World of Imagery; Putting it All Together?Essential Layout Concepts; The Right Design Choices: 20 Reminders for Working Designers; and Breaking the Rules: When and Why to Challenge all the Rules of this Book.