This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data

    This is the first book on the topic of simplicity aimed specifically at interaction designers. It shows how to drill down and simplify user experiences when designing digital tools and applications.

    "Web Analytics 2.0" presents a new framework that will permanently change how you think about analytics. It provides specific recommendations for creating an actionable strategy, applying analytical techniques correctly, solving challenges such as measuring social media and multichannel campaigns, achieving optimal success by leveraging experimentation, and employing tactics for truly listening to your customers. The book will help your organization become more data driven while you become a super analysis ninja Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

    The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. *NEW-Nontechnical learning material-Accompanies each part of the book. *NEW-The Internet as a sample application for intelligent systems-Added in several places including logical agents, planning, and natural language. *NEW-Increased coverage of material - Includes expanded coverage of: default reasoning and truth maintenance systems, including multi-agent/distributed AI and game theory; probabilistic approaches to learning including EM; more detailed descriptions of probabilistic inference algorithms. *NEW-Updated and expanded exercises-75% of the exercises are revised, with 100 new exercises. *NEW-On-line Java software. *Makes it easy for students to do projects on the web using intelligent agents. *A unified, agent-based approach to AI-Organizes the material around the task of building intelligent agents. *Comprehensive, up-to-date coverage-Includes a unified view of the field organized around the rational decision making pa

    "Grid Systems in Graphic Design - Raster Systeme für die Visuelle Gestaltung" By Josef Müller-Brockmann. English version by D. Q. Stephenson. English and German text. This is the 5th Edition, published by Verlag Niggli AG, 2007. Full title: "Grid Systems in Graphic Design. A Visual Communication Manual for Graphic Designers, Typographers and Three Dimensional Designers - Raster Systeme für die Visuelle Gestaltung. Ein Handbuch für Grafiker, Typografen und Ausstellungsgestalter". A comprehensive handbook on modern typography and using the Grid System, illustrated with drawings, diagrams, black & white photographs & numerous examples of graphic design. Subjects include: Grid and Design Philosophy; The Typographic Grid and its purpose; Sizes of Paper; Typeface Alphabets; Margin Proportions; Construction of the Grid and Type Area; Type & Picture Area with 8, 20 and 32 Grid Fields; Photograph & Illustration in the Grid System; the Grid in Corporate Identity and Three-Dimensional Design & more.

    The title says it is the hard way to learn to writecode but it’s actually not. It’s the “hard” way only in that it’s the way people used to teach things. In this book youwill do something incredibly simple that all programmers actually do to learn a language: 1. Go through each exercise. 2. Type in each sample exactly. 3. Make it run.That’s it. This will be very difficult at first, but stick with it. If you go through this book, and do each exercise for1-2 hours a night, then you’ll have a good foundation for moving on to another book. You might not really learn“programming” from this book, but you will learn the foundation skills you need to start learning the language.This book’s job is to teach you the three most basic essential skills that a beginning programmer needs to know:Reading And Writing, Attention To Detail, Spotting Differences.

    This is a practical, hands-on guide for anyone trying to design systems that reflect the way customers want to do their work. The authors developed Contextual Design, the method discussed here, through their work with teams struggling to design products and internal systems. In this book, you'll find the underlying principles of the method and how to apply them to different problems, constraints, and organizational situations.Contextual Design enables you to+ gather detailed data about how people work and use systems + develop a coherent picture of a whole customer population + generate systems designs from a knowledge of customer work+ diagram a set of existing systems, showing their relationships, inconsistencies, redundancies, and omissions

    It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It's ideal for analysts new to Python and for Python programmers new to scientific computing.Use the IPython interactive shell as your primary development environmentLearn basic and advanced NumPy (Numerical Python) featuresGet started with data analysis tools in the pandas libraryUse high-performance tools to load, clean, transform, merge, and reshape dataCreate scatter plots and static or interactive visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsMeasure data by points in time, whether it's specific instances, fixed periods, or intervalsLearn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples

    Diagrams, data and information graphics are utilised wherever increasingly complex elements are present, whether it is in magazines, non-fiction books or business reports, packages or exhibition designs. Data Flow presents an abundant range of possibilities in visualising data and information. Today, diagrams are being applied beyond their classical fields of use. In addition to archetypical diagrams such as pie charts and histograms, there are manifold types of diagrams developed for use in distinct cases and categories. These range from chart-like diagrams such as bar, plot, line diagrams and spider charts, graph-based diagrams including line, matrix, process flow, and molecular diagrams to extremely complex three-dimensional diagrams. The more concrete the variables, the more aesthetically elaborate the graphics ???????????????????????? sometimes reaching the point of art ???????????????????????? the more abstract, the simpler the readability. The abundant examples in Data Flow showcase the various methodologies behind information design with solutions concerning complexity, simplification, readability and the (over)production of information. In addition to the examples shown, the book features explanatory text. On 256 pages, Data Flow introduces a comprehensive selection of innovatively designed diagrams. This up-to-date survey provides inspiration and concrete solutions for designers, and at the same time unlocks a new field of visual codes.

    Prepare for your next job interview."Redesign the NYC metrocard system. Design a dashboard for a general practitioner. Redesign an ATM".Learn how to solve and present exercises like these, that top startups use to interview designers for product design and UI/UX roles. Today top companies are looking for business-minded designers who are not just focused on visuals. With this book you can practice this kind of mindset, prepare for job interview, learn how to interview other designers and find concepts for projects for your portfolio. What will you learn from this book:- Prepare for the design interview — prepare for the design exercise and learn more about how tech companies hire product designers.- Improve your portfolio — use product challenges to showcase in your porfolio instead of unsolicited visual redesigns.- Step up your design career — practice your product design skills to become a better designer and prepare for your next career move.- Interview designers — learn how to interview designers to evaluate their skills in the most efficient and scalable way.What’s inside?- A 7-step framework for solving product design exercises- 30+ examples of exercises similar to exercises used by Google, Facebook, Amazon etc.- 5 full solutions for product design exercises- 5 short interviews with design leaders that worked at Apple, Google, Pinterest, IDEO etc.

    The result is a tremendous amount of time and money wasted due to wrong assumptions, lack of focus, poor communication of objectives, lack of understanding and misalignment with overall goals. There has to be a better way to deliver!This handbook is a practical guide to impact mapping, a simple yet incredibly effective method for collaborative strategic planning that helps organisations make an impact with software. Impact mapping helps to create better plans and roadmaps that ensure alignment of business and delivery, and are easily adaptable to change. Impact mapping fits nicely into several current trends in software product management and release planning, including goal-oriented requirements engineering, frequent iterative delivery, agile and lean software methods, lean startup product development cycles, and design thinking.Who is this book for?The primary audience of this book are senior people involved in building software products or delivering software projects, from both business and delivery sides. This includes business sponsors and those whose responsibilities include product ownership, project oversight or portfolio management, architecture, business analysis, quality improvement and assurance and delivery. - Business people assigned to software projects will learn how to communicate their ideas better.- Senior product or project sponsors will learn how to communicate their assumptions more effectively to delivery teams, how to engage delivery teams to make better strategic decisions, and how to manage their project portfolio more effectively.- Delivery teams that are already working under the umbrella of agile or lean delivery methods, and more recently lean startup ideas, will learn how to better focus deliverables and engage business sponsors and users.- Delivery teams moving to agile or lean delivery methods will get ideas on how to address some common issues with scaling these practices, such as creating a big picture view, splitting work into small chunks that still have business value and reporting progress more meaningfully.About the authorGojko Adzic is a strategic software delivery consultant who works with ambitious teams to improve the quality of their software products and processes. Gojko won the 2012 Jolt Award for the best book, was voted by peers as the most influential agile testing professional in 2011, and his blog won the UK Agile Award for the best online publication in 2010. To get in touch, write to gojko@neuri.co.uk or visit http://gojko.net.

    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?

    Whether you work at a startup or a large, established company, we all know that building great products is hard. Most new products fail. This book helps improve your chances of building successful products through clear, step-by-step guidance and advice. The Lean Startup movement has contributed new and valuable ideas about product development and has generated lots of excitement. However, many companies have yet to successfully adopt Lean thinking. Despite their enthusiasm and familiarity with the high-level concepts, many teams run into challenges trying to adopt Lean because they feel like they lack specific guidance on what exactly they should be doing. If you are interested in Lean Startup principles and want to apply them to develop winning products, this book is for you. This book describes the Lean Product Process: a repeatable, easy-to-follow methodology for iterating your way to product-market fit. It walks you through how to: Determine your target customers Identify underserved customer needs Create a winning product strategy Decide on your Minimum Viable Product (MVP) Design your MVP prototype Test your MVP with customers Iterate rapidly to achieve product-market fit This book was written by entrepreneur and Lean product expert Dan Olsen whose experience spans product management, UX design, coding, analytics, and marketing across a variety of products. As a hands-on consultant, he refined and applied the advice in this book as he helped many companies improve their product process and build great products. His clients include Facebook, Box, Hightail, Epocrates, and Medallia. Entrepreneurs, executives, product managers, designers, developers, marketers, analysts and anyone who is passionate about building great products will find The Lean Product Playbook an indispensable, hands-on resource.

    Translated into twenty-three languages, it is one of the world's most widely read books on design. In this edition, Victor Papanek examines the attempts by designers to combat the tawdry, the unsafe, the frivolous, the useless product, once again providing a blueprint for sensible, responsible design in this world which is deficient in resources and energy.

    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.