Discover the “hidden gold” in Python’s standard library and start writing clean and Pythonic code today. Who Should Read This Book: If you’re wondering which lesser known parts in Python you should know about, you’ll get a roadmap with this book. Discover cool (yet practical!) Python tricks and blow your coworkers’ minds in your next code review. If you’ve got experience with legacy versions of Python, the book will get you up to speed with modern patterns and features introduced in Python 3 and backported to Python 2. If you’ve worked with other programming languages and you want to get up to speed with Python, you’ll pick up the idioms and practical tips you need to become a confident and effective Pythonista. If you want to make Python your own and learn how to write clean and Pythonic code, you’ll discover best practices and little-known tricks to round out your knowledge. What Python Developers Say About The Book: "I kept thinking that I wished I had access to a book like this when I started learning Python many years ago." — Mariatta Wijaya, Python Core Developer"This book makes you write better Python code!" — Bob Belderbos, Software Developer at Oracle"Far from being just a shallow collection of snippets, this book will leave the attentive reader with a deeper understanding of the inner workings of Python as well as an appreciation for its beauty." — Ben Felder, Pythonista"It's like having a seasoned tutor explaining, well, tricks!" — Daniel Meyer, Sr. Desktop Administrator at Tesla Inc.

    But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian Statistics the Fun Way will change that.This book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples. Find out the probability of UFOs landing in your garden, how likely Han Solo is to survive a flight through an asteroid shower, how to win an argument about conspiracy theories, and whether a burglary really was a burglary, to name a few examples.By using these off-the-beaten-track examples, the author actually makes learning statistics fun. And you'll learn real skills, like how to:- How to measure your own level of uncertainty in a conclusion or belief- Calculate Bayes theorem and understand what it's useful for- Find the posterior, likelihood, and prior to check the accuracy of your conclusions- Calculate distributions to see the range of your data- Compare hypotheses and draw reliable conclusions from themNext time you find yourself with a sheaf of survey results and no idea what to do with them, turn to Bayesian Statistics the Fun Way to get the most value from your data.

    Years hunched over books and articles, writing essays late into the night on the science and art of your chosen profession. Through hard work and determination, alongside lots of experience, you’ve now become pretty good at it. So good in fact, that you have been asked to stop doing it all the time. You’ve been asked to manage a team.Now, you’ve got to assess people, develop them, write their appraisals and help them to help you, and the business you work for, deliver results.This is the book that will get you there fast.Authored by Sue Willcock, who with 25 years of experience in professional services, wrote this book with the busy professional in mind – easy to read and packed full of tips you can use straight away.Sue originally qualified as a Chartered Surveyor before moving into business management roles, including a period as a Partner at a Top 5 Construction Consultancy. For the last 10 years, Sue has worked as a people development consultant focusing on professional services, working with individuals, teams and organisations.

    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.

    This book also aids loved ones in accepting the disorder and offering support. Inside you'll find authoritative details on the causes of BPD and proven treatments, as well as advice on working with therapists, managing symptoms, and enjoying a full life.Review the basics of BPD -- discover the symptoms of BPD and the related emotional problems, as well as the cultural, biological, and psychological causes of the diseaseUnderstand what goes wrong -- explore impulsivity, emotional dysregulation, identity problems, relationship conflicts, black-and-white thinking, and difficulties in perception; and identify the areas where you may need helpMake the choice to change -- find the right care provider, overcome common obstacles to change, set realistic goals, and improve your physical and emotional stateEvaluate treatments for BPD -- learn about the current treatments that really work and develop a plan for addressing the core symptoms of BPDIf someone you love has BPD -- see how to identify triggers, handle emotional upheavals, set clear boundaries, and encourage your loved one to seek therapyOpen the book and find:The major characteristics of BPDWho gets BPD -- and whyRecent treatment advancesIlluminating case studiesStrategies for calming emotions and staying in controlA discussion of medication optionsWays to stay healthy during treatmentTips for explaining BPD to othersHelp for parents whose child exhibits symptomsTreatment options that work and those you should avoid

    It tells the fascinating and frequently astounding story of how the massive enterprise to restructure the genetic core of the world's food supply came into being, how it advanced by consistently violating the protocols of science, and how for more than three decades, hundreds of eminent biologists and esteemed institutions have systematically contorted the truth in order to conceal the unique risks of its products-and get them onto our dinner plates.Altered Genes, Twisted Truth provides a graphic account of how this elaborate fraud was crafted and how it not only deceived the general public, but Bill Clinton, Bill Gates, Barack Obama and a host of other astute and influential individuals as well. The book also exposes how the U.S. Food and Drug Administration (FDA) was induced to become a key accomplice--and how it has broken the law and repeatedly lied in order to usher genetically engineered foods onto the market without the safety testing that's required by federal statute. As a result, for fifteen years America's families have been regularly ingesting a group of novel products that the FDA's own scientific staff had previously determined to be unduly hazardous to human health.By the time this gripping story comes to a close, it will be clear that the degradation of science it documents has not only been unsavory but unprecedented--and that in no other instance have so many scientists so seriously subverted the standards they were trained to uphold, misled so many people, and imposed such magnitude of risk on both human health and the health of the environment.

    The author was—at first.When the term “big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind.Now, in clear, conversational language, Davenport explains what big data means—and why everyone in business needs to know about it. Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact; and which aspects of this hot topic have been oversold.This book will help you understand:• Why big data is important to you and your organization• What technology you need to manage it• How big data could change your job, your company, and your industry• How to hire, rent, or develop the kinds of people who make big data work• The key success factors in implementing any big data project• How big data is leading to a new approach to managing analyticsWith dozens of company examples, including UPS, GE, Amazon, United Healthcare, Citigroup, and many others, this book will help you seize all opportunities—from improving decisions, products, and services to strengthening customer relationships. It will show you how to put big data to work in your own organization so that you too can harness the power of this ever-evolving new resource.

    Explaining why the whole is sometimes smarter than the sum of its parts, Johnson presents surprising examples of feedback, self-organization, and adaptive learning. How does a lively neighborhood evolve out of a disconnected group of shopkeepers, bartenders, and real estate developers? How does a media event take on a life of its own? How will new software programs create an intelligent World Wide Web? In the coming years, the power of self-organization -- coupled with the connective technology of the Internet -- will usher in a revolution every bit as significant as the introduction of electricity. Provocative and engaging, Emergence puts you on the front lines of this exciting upheaval in science and thought.

    The book focuses on using SQL to find the story your data tells, with the popular open-source database PostgreSQL and the pgAdmin interface as its primary tools.You'll first cover the fundamentals of databases and the SQL language, then build skills by analyzing data from the U.S. Census and other federal and state government agencies. With exercises and real-world examples in each chapter, this book will teach even those who have never programmed before all the tools necessary to build powerful databases and access information quickly and efficiently.You'll learn how to: •Create databases and related tables using your own data •Define the right data types for your information •Aggregate, sort, and filter data to find patterns •Use basic math and advanced statistical functions •Identify errors in data and clean them up •Import and export data using delimited text files •Write queries for geographic information systems (GIS) •Create advanced queries and automate tasks Learning SQL doesn't have to be dry and complicated. Practical SQL delivers clear examples with an easy-to-follow approach to teach you the tools you need to build and manage your own databases. This book uses PostgreSQL, but the SQL syntax is applicable to many database applications, including Microsoft SQL Server and MySQL.

    You'll also learn how to make your programs interactive and how to test your code safely before adding it to a project. In the second half of the book, you'll put your new knowledge into practice with three substantial projects: a Space Invaders-inspired arcade game, data visualizations with Python's super-handy libraries, and a simple web app you can deploy online.As you work through Python Crash Course, you'll learn how to: Use powerful Python libraries and tools, including matplotlib, NumPy, and PygalMake 2D games that respond to keypresses and mouse clicks, and that grow more difficult as the game progressesWork with data to generate interactive visualizationsCreate and customize simple web apps and deploy them safely onlineDeal with mistakes and errors so you can solve your own programming problemsIf you've been thinking seriously about digging into programming, Python Crash Course will get you up to speed and have you writing real programs fast. Why wait any longer? Start your engines and code!

    This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates

    Significant pedagogical advances have been made while preserving the integrity of Dr. Ganong's work....They have done an excellent job of updating this classic, and the tradition continues. So many students in the future will be able to use this book to enhance their knowledge."--"Doody's Review Service"For more than four decades, "Ganong's Review of Medical Physiology" has been the leader in helping medical students and clinicians understand the fascinating subject of human and mammalian physiology. Concisely covering every important topic without sacrificing depth or readability, "Ganong's" delivers more detailed, clinically-relevant, high-yield information per page than any similar text or review.Thoroughly updated to reflect the latest research and developments in important areas such as the cellular basis of neurophysiology, "Ganong's Review of Medical Physiology" incorporates examples from clinical medicine throughout the chapters to illustrate important physiologic concepts. Whether you're a student who needs an outstanding review for the USMLE or a physician who wants to keep pace with the ever-changing field of medical physiology, there's no better place to turn than "Ganong's Review of Medical Physiology."Here's why this is the best edition of "Ganong's" ever: NEW full-color illustrations -- the authors have worked with an outstanding team of medical illustrators, photographers, educators, and students to give you an unmatched collection of illustrations and tables NEW boxed clinical cases -- featuring examples of diseases that illustrate important physiological principles NEW high-yield end-of-chapter board review questions iPod-compatible review - questions and illustrations from each chapter test your comprehension of the material Companion online learning center includes cases, illustrations, and board review questions (www.LangeTextbooks.com)

    

    In this one-of-a-kind text, author V. Anton Spraul breaks down the ways that programmers solve problems and teaches you what other introductory books often ignore: how to Think Like a Programmer. Each chapter tackles a single programming concept, like classes, pointers, and recursion, and open-ended exercises throughout challenge you to apply your knowledge. You'll also learn how to:Split problems into discrete components to make them easier to solve Make the most of code reuse with functions, classes, and libraries Pick the perfect data structure for a particular job Master more advanced programming tools like recursion and dynamic memory Organize your thoughts and develop strategies to tackle particular types of problems Although the book's examples are written in C++, the creative problem-solving concepts they illustrate go beyond any particular language; in fact, they often reach outside the realm of computer science. As the most skillful programmers know, writing great code is a creative art—and the first step in creating your masterpiece is learning to Think Like a Programmer.

    This long-awaited revision contains changes throughout the text. There are new implementations of most of the major programming systems in the book, including the interpreters and compilers, and the authors have incorporated many small changes that reflect their experience teaching the course at MIT since the first edition was published. A new theme has been introduced that emphasizes the central role played by different approaches to dealing with time in computational models: objects with state, concurrent programming, functional programming and lazy evaluation, and nondeterministic programming. There are new example sections on higher-order procedures in graphics and on applications of stream processing in numerical programming, and many new exercises. In addition, all the programs have been reworked to run in any Scheme implementation that adheres to the IEEE standard.