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.

    Asynchronous programming lets you turn your own web sites into smooth, slick, responsive applications that make your users feel like they're back on the information superhighway, not stuck on a dial-up backroad.But who wants to take on next-generation web programming with the last generation's instruction book? You need a learning experience that's as compelling and cutting-edge as the sites you want to design. That's where we come in. With Head Rush Ajax, in no time you'll be writing JavaScript code that fires off asynchronous requests to web servers...and having fun doing it. By the time you've taken your dynamic HTML, XML, JSON, and DOM skills up a few notches, you'll have solved tons of puzzles, figured out how well snowboards sell in Vail, and even watched a boxing match. Sound interesting? Then what are you waiting for? Pick up Head Rush Ajax and learn Ajax and asynchronous programming the right way--the way that sticks.If you've ever read a Head First book, you know what to expect: a visually rich format designed for the way your brain works. Head Rush ramps up the intensity with an even faster look and feel. Have your first working app before you finish Chapter 1, meet up with the nefarious PROJECT: CHAOS stealth team, and even settle the question of the Top 5 Blues CDs of all time. Leave boring, clunky web sites behind with 8-tracks and hot pants--and get going with next-generation web programming."If you thought Ajax was rocket science, this book is for you. Head Rush Ajax puts dynamic, compelling experiences within reach for every web developer." -- Jesse James Garrett, Adaptive Path"A 'technology-meets-reality' book for web pioneers on the cutting edge." -- Valentin Crettaz, CTO, Condris Technologies

    There is no need for the latest gadgets or trips to “exotic” places. Amazing images can be captured everywhere, all the time, and with the simplest equipment. All you need is a camera, an interest in ordinary people doing everyday things, and—of course—this book. In Street Photography, acclaimed photographer Eric Kim shares everything you need to develop your own street photography skills: how to conquer your fear of shooting in public, tips on choosing your gear, and inspiring techniques to discover the beauty in the mundane. You’ll learn how to chase the all-important “decisive moment,” and even how to find your own style. As a bonus, you’ll get insights from renowned street photographers Ludmilla Morais, Blake Andrews, Thomas Leuthard, and Kramer O’Neill. Street photography is all about discovering the wonderful things most of us are too busy to notice. Let this book inspire you to hit the streets—and turn everyday moments into extraordinary photos! About the author Eric Kim is a street photographer whose blog and sold-out workshops have become today’s most popular resources for aspiring “streettogs.” Eric has exhibited at Gulf Photo Plus, the ThinkTank Gallery in Los Angeles, and Leica stores internationally, and has been featured in Popular Photographer, Black+White, VICE, pixelperfect.com, Salon.com, and on the BBC. He can be found at erickimphotography.com, as well as on Facebook, Twitter, Instagram, and YouTube. Eric lives in Berkeley, CA.

    It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of interest to scientists concerned with inference from incomplete information.

    In each chapter, you will learn programming concepts and apply them immediately as you build an application or enhance one from a previous chapter. These applications have been carefully designed and tested to teach the associated concepts and to provide practice working with the standard development tools Xcode, Interface Builder, and Instruments. The guide’s learn-while-doing approach delivers the practical knowledge and experience you need to design and build real-world applications.

    My great hope is that they will inspire you to get cooking to improve your own health whatever your personal goal.' GORDON RAMSAY The dream combination - a Michelin-starred superchef who is also a committed athlete. Gordon knows how important it is to eat well, whether you're training for a triathlon or just leading a busy active life. And just because it's healthy food you don't have to compromise on taste and flavour. The book is divided into three sections, each one offering breakfasts, lunches, suppers, sides and snacks with different health-boosting benefits. The Healthy section consists of nourishing recipes for general wellbeing; the Lean recipes encourage healthy weight loss; and the Fit section features pre- and post-workout dishes to build strength and energise. This is the ultimate collection of recipes that you'll enjoy cooking and eating, and will leave you in great shape whatever your fitness goals.

    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!

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    

    This book contains over 250 of the most amazing facts about Harry Potter which are entertaining, interesting, funny, and sometimes you can't quite believe! For example, did you know there are 700 fouls which can be committed in the sport quidditch? Did you also know there are 142 staircases at Hogwarts? I very much doubt it, so if you'd like to find out more facts like these, then give it a read! You'll find out things you never knew about: The Characters, Hogwarts, The Actors, The History Of Magic and lots more!

    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.

    Written in a frank but engaging style, Debuggingprovides simple, foolproof principles guaranteed to help find any bug quickly. This book makes those shelves of application-specific debugging books (on C++, Perl, Java, etc.) obsolete. It changes the way readers think about debugging, making those pesky problems suddenly much easier to find and fix. Illustrating the rules with real-life bug-detection war stories, the book shows readers how to: * Understand the system: how perceiving the ""roadmap"" can hasten your journey * Quit thinking and look: when hands-on investigation can’t be avoided * Isolate critical factors: why changing one element at a time can be an essential tool * Keep an audit trail: how keeping a record of the debugging process can win the day

    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

    By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts. The author strongly emphasizes the practical performance issues involved in writing real working programs of significant size. Chapters on troubleshooting and efficiency are included, along with a discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions. This volume is an excellent text for a course on AI programming, a useful supplement for general AI courses and an indispensable reference for the professional programmer.