Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.With this handbook, you’ll learn how to use: * IPython and Jupyter: provide computational environments for data scientists using Python * NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python * Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python * Matplotlib: includes capabilities for a flexible range of data visualizations in Python * Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

    In Pittsburgh, a child welfare agency uses a statistical model to try to predict which children might be future victims of abuse or neglect.Since the dawn of the digital age, decision-making in finance, employment, politics, health and human services has undergone revolutionary change. Today, automated systems—rather than humans—control which neighborhoods get policed, which families attain needed resources, and who is investigated for fraud. While we all live under this new regime of data, the most invasive and punitive systems are aimed at the poor.In Automating Inequality, Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. The book is full of heart-wrenching and eye-opening stories, from a woman in Indiana whose benefits are literally cut off as she lays dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile.The U.S. has always used its most cutting-edge science and technology to contain, investigate, discipline and punish the destitute. Like the county poorhouse and scientific charity before them, digital tracking and automated decision-making hide poverty from the middle-class public and give the nation the ethical distance it needs to make inhumane choices: which families get food and which starve, who has housing and who remains homeless, and which families are broken up by the state. In the process, they weaken democracy and betray our most cherished national values.This deeply researched and passionate book could not be more timely.Naomi Klein: "This book is downright scary."Ethan Zuckerman, MIT: "Should be required reading."Dorothy Roberts, author of Killing the Black Body: "A must-read for everyone concerned about modern tools of inequality in America."Astra Taylor, author of The People's Platform: "This is the single most important book about technology you will read this year."

    Ironically, I must recommend that you read her every word so that you can find out why your customers won't read very many words on your website -- and what to do about it.-- Jakob Nielsen, Principal, Nielsen Norman Group"There are at least twelve billion web pages out there. Twelve billion voices talking, but saying mostly nothing. If just 1% of those pages followed Ginny's practical, clear advice, the world would be a better place. Fortunately, you can follow her advice for 100% of your own site's pages, so pick up a copy of Letting Go of the Words and start communicating effectively today."--Lou Rosenfeld, co-author, Information Architecture for the World Wide WebOn the web, whether on the job or at home, we usually want to grab information and use it quickly. We go to the web to get answers to questions or to complete tasks - to gather information, reading only what we need. We are all too busy to read much on the web.This book helps you write successfully for web users. It offers strategy, process, and tactics for creating or revising content for the web. It helps you plan, organize, write, design, and test web content that will make web users come back again and again to your site.Learn how to create usable and useful content for the web from the master - Ginny Redish. Ginny has taught and mentored hundreds of writers, information designers, and content owners in the principles and secrets of creating web information that is easy to scan, easy to read, and easy to use.This practical, informative book will help anyone creating web content do it better.Features* Clearly-explained guidelines with full color illustrations and examples from actual web sites throughout the book. * Written in easy-to-read style with many befores and afters.* Specific guidelines for web-based press releases, legal notices, and other documents.* Tips on making web content accessible for people with special needs.Janice (Ginny) Redish has been helping clients and colleagues communicate clearly for more than 20 years. For the past ten years, her focus has been helping people create usable and useful web sites. She is co-author of two classic books on usability: A Practical Guide to Usability Testing (with Joseph Dumas), and User and Task Analysis for Interface Design (with JoAnn Hackos), and is the recipient of many awards.

    Their dedication and hard work have yielded an authoritative volume that defines and classifies mental disorders in order to improve diagnoses, treatment, and research.The criteria are concise and explicit, intended to facilitate an objective assessment of symptom presentations in a variety of clinical settings -- inpatient, outpatient, partial hospital, consultation-liaison, clinical, private practice, and primary care. New features and enhancements make DSM-5 easier to use across all settings:- The chapter organization reflects a lifespan approach, with disorders typically diagnosed in childhood (such as neurodevelopmental disorders) at the beginning of the manual, and those more typical of older adults (such as neurocognitive disorders) placed at the end. Also included are age-related factors specific to diagnosis. - The latest findings in neuroimaging and genetics have been integrated into each disorder along with gender and cultural considerations.- The revised organizational structure recognizes symptoms that span multiple diagnostic categories, providing new clinical insight in diagnosis. - Specific criteria have been streamlined, consolidated, or clarified to be consistent with clinical practice (including the consolidation of autism disorder, Asperger's syndrome, and pervasive developmental disorder into autism spectrum disorder; the streamlined classification of bipolar and depressive disorders; the restructuring of substance use disorders for consistency and clarity; and the enhanced specificity for major and mild neurocognitive disorders).- Dimensional assessments for research and validation of clinical results have been provided.- Both ICD-9-CM and ICD-10-CM codes are included for each disorder, and the organizational structure is consistent with the new ICD-11 in development.The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, is the most comprehensive, current, and critical resource for clinical practice available to today's mental health clinicians and researchers of all orientations. The information contained in the manual is also valuable to other physicians and health professionals, including psychologists, counselors, nurses, and occupational and rehabilitation therapists, as well as social workers and forensic and legal specialists.

    It should be labelled 'start here'." --Pieter Jan Stappers, ID-StudioLab, Delft University of Technology

    "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.

    With the printed book, information and ideas could disseminate more widely and effectively than ever before—and in some cases, affect and redirect the sway of history. Today, nearly one million books are published each year. But is the era of the book as we know it—a codex of bound pages—coming to an end? And if it is, should we celebrate its demise and the creation of a democratic digital future, or mourn an irreplaceable loss? The digital age is revolutionizing the information landscape. Already, more books have been scanned and digitized than were housed in the great library in Alexandria, making available millions of texts for a curious reader at the click of a button, and electronic book sales are growing exponentially. Will this revolution in the delivery of information and entertainment make for more transparent and far-reaching dissemination or create a monopolistic stranglehold? In The Case for Books, Robert Darnton, an intellectual pioneer in the field of the history of the book and director of Harvard University's Library, offers an in-depth examination of the book from its earliest beginnings to its shifting role today in popular culture, commerce, and the academy. As an author, editorial advisor, and publishing entrepreneur, Darnton is a unique authority on the life and role of the book in society. This book is a wise work of scholarship—one that requires readers to carefully consider how the digital revolution will broadly affect the marketplace of ideas.

    For every story about the web’s empowering role in events such as the Arab Spring, there are many more about the quiet corrosion of civil liberties by companies and governments using the same digital technologies we have come to depend upon. Sudden changes in Facebook’s features and privacy settings have exposed identities of protestors to police in Egypt and Iran. Apple removes politically controversial apps at the behest of governments as well as for its own commercial reasons. Dozens of Western companies sell surveillance technology to dictatorships around the world. Google struggles with censorship demands from governments in a range of countries — many of them democracies — as well as mounting public concern over the vast quantities of information it collects about its users.In Consent of the Networked, journalist and Internet policy specialist Rebecca MacKinnon argues that it is time to fight for our rights before they are sold, legislated, programmed, and engineered away. Every day, the corporate sovereigns of cyberspace make decisions that affect our physical freedom — but without our consent. Yet the traditional solution to unaccountable corporate behavior — government regulation — cannot stop the abuse of digital power on its own, and sometimes even contributes to it.A clarion call to action, Consent of the Networked shows that it is time to stop arguing over whether the Internet empowers people, and address the urgent question of how technology should be governed to support the rights and liberties of users around the world.

    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.

    This new edition has been completely updated ad expanded to include crucial new information on digital records, encoded arcival description (EAD), copyright issues, post-9/11 security concerns, international perspectives on tuse issues--content that makes this manual essential for archivists of all backgrounds. Setting up archives, appraisal and accessioning, acquisition strategies and policies, arrangement description, reference and access, preservation, and electronic records are just some of the topics covered in both theory and practice in this clear, comprehensive, ad practial guide.

     Neural networks are a key element of deep learning and artificial intelligence, which today is capable of some truly impressive feats. Yet too few really understand how neural networks actually work. This guide will take you on a fun and unhurried journey, starting from very simple ideas, and gradually building up an understanding of how neural networks work. You won't need any mathematics beyond secondary school, and an accessible introduction to calculus is also included. The ambition of this guide is to make neural networks as accessible as possible to as many readers as possible - there are enough texts for advanced readers already! You'll learn to code in Python and make your own neural network, teaching it to recognise human handwritten numbers, and performing as well as professionally developed networks. Part 1 is about ideas. We introduce the mathematical ideas underlying the neural networks, gently with lots of illustrations and examples. Part 2 is practical. We introduce the popular and easy to learn Python programming language, and gradually builds up a neural network which can learn to recognise human handwritten numbers, easily getting it to perform as well as networks made by professionals. Part 3 extends these ideas further. We push the performance of our neural network to an industry leading 98% using only simple ideas and code, test the network on your own handwriting, take a privileged peek inside the mysterious mind of a neural network, and even get it all working on a Raspberry Pi. All the code in this has been tested to work on a Raspberry Pi Zero.

    It's an occasionally ribald, frequently witty and unerringly erudite guided tour of the secret labyrinth that lurks beneath the English language, taking in monks and monkeys, film buffs and buffaloes, and explaining precisely what the Rolling Stones have to do with gardening.

    With the "You Don’t Know JS" book series, you’ll get a more complete understanding of JavaScript, including trickier parts of the language that many experienced JavaScript programmers simply avoid.The series’ first book, Up & Going, provides the necessary background for those of you with limited programming experience. By learning the basic building blocks of programming, as well as JavaScript’s core mechanisms, you’ll be prepared to dive into the other, more in-depth books in the series—and be well on your way toward true JavaScript.With this book you will: Learn the essential programming building blocks, including operators, types, variables, conditionals, loops, and functions Become familiar with JavaScript's core mechanisms such as values, function closures, this, and prototypes Get an overview of other books in the series—and learn why it’s important to understand all parts of JavaScript

    Written and designed to reflect the way people read today, this book is structured to quickly impart simple and cost-effective ideas on marketing your library.

    Written more than two decades after Democracy and Education (Dewey's most comprehensive statement of his position in educational philosophy), this book demonstrates how Dewey reformulated his ideas as a result of his intervening experience with the progressive schools and in the light of the criticisms his theories had received.Analyzing both "traditional" and "progressive" education, Dr. Dewey here insists that neither the old nor the new education is adequate and that each is miseducative because neither of them applies the principles of a carefully developed philosophy of experience. Many pages of this volume illustrate Dr. Dewey's ideas for a philosophy of experience and its relation to education. He particularly urges that all teachers and educators looking for a new movement in education should think in terms of the deeper and larger issues of education rather than in terms of some divisive "ism" about education, even such an "ism" as "progressivism." His philosophy, here expressed in its most essential, most readable form, predicates an American educational system that respects all sources of experience, one that offers a true learning situation that is both historical and social, both orderly and dynamic.