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.

    With The Data Journalism Handbook, you’ll explore the potential, limits, and applied uses of this new and fascinating field.This valuable handbook has attracted scores of contributors since the European Journalism Centre and the Open Knowledge Foundation launched the project at MozFest 2011. Through a collection of tips and techniques from leading journalists, professors, software developers, and data analysts, you’ll learn how data can be either the source of data journalism or a tool with which the story is told—or both.Examine the use of data journalism at the BBC, the Chicago Tribune, the Guardian, and other news organizationsExplore in-depth case studies on elections, riots, school performance, and corruptionLearn how to find data from the Web, through freedom of information laws, and by "crowd sourcing"Extract information from raw data with tips for working with numbers and statistics and using data visualizationDeliver data through infographics, news apps, open data platforms, and download links

    Part guide, part social commentary, part party invitation, 101 Places gives you all the info and inspiration you'll need to:* Blowout one (or several) of the year's biggest festivals * MacGyver your way into underground clubs and backcountry raves* Throw down with people from the Himalayas to the salt flats to Antarctica* Travel in every conceivable style—from baller to dirtbag—to some of the most epic spots on earthDo you really know where to go out in San Francisco or Tel Aviv? How about preparing for Burning Man or Oktoberfest? The award-winning journalists and photographers at Matador Network let you know what's up at each spot, whether it's drug policies, how to keep safe, special options for LGBT travelers, or simply where to find the kind of music you like to dance to. No matter if you want to rage at Ibiza or just chill on some dunes smoking shisha, 101 Places has something for you.So, hop a flight, raise a glass, and join us as we breach security, ride ill-recommended ferries, and hike miles into the wilderness all in search of the parties and places going off right now.

    His aim is to present calculus as the first real encounter with mathematics: it is the place to learn how logical reasoning combined with fundamental concepts can be developed into a rigorous mathematical theory rather than a bunch of tools and techniques learned by rote. Since analysis is a subject students traditionally find difficult to grasp, Spivak provides leisurely explanations, a profusion of examples, a wide range of exercises and plenty of illustrations in an easy-going approach that enlightens difficult concepts and rewards effort. Calculus will continue to be regarded as a modern classic, ideal for honours students and mathematics majors, who seek an alternative to doorstop textbooks on calculus, and the more formidable introductions to real analysis.

    With this practical guide, you’ll learn how to use Python scripts and web APIs to gather and process data from thousands—or even millions—of web pages at once. Ideal for programmers, security professionals, and web administrators familiar with Python, this book not only teaches basic web scraping mechanics, but also delves into more advanced topics, such as analyzing raw data or using scrapers for frontend website testing. Code samples are available to help you understand the concepts in practice. Learn how to parse complicated HTML pages Traverse multiple pages and sites Get a general overview of APIs and how they work Learn several methods for storing the data you scrape Download, read, and extract data from documents Use tools and techniques to clean badly formatted data Read and write natural languages Crawl through forms and logins Understand how to scrape JavaScript Learn image processing and text recognition

    The systematized and organized method frees the capacity to think creatively and more freely on a task at hand.- Have daily tasks and year long projects rest easily side by side. Be able to advance feeling both in control and motivated.- Discover several solutions for procrastination and scattered or bogged-down states of mind.

    Each self-contained chapter consists of three sections. The first describes the statistic, including how it is used and what information it provides. The second section reviews how it works, how to calculate the formula, the strengths and weaknesses of the technique, and the conditions needed for its use. The final section provides examples that use and interpret the statistic. A glossary of terms and symbols is also included.New features in the second edition include:an interactive CD with PowerPoint presentations and problems for each chapter including an overview of the problem's solution; new chapters on basic research concepts including sampling, definitions of different types of variables, and basic research designs and one on nonparametric statistics; more graphs and more precise descriptions of each statistic; and a discussion of confidence intervals.This brief paperback is an ideal supplement for statistics, research methods, courses that use statistics, or as a reference tool to refresh one's memory about key concepts. The actual research examples are from psychology, education, and other social and behavioral sciences.Materials formerly available with this book on CD-ROM are now available for download from our website www.psypress.com. Go to the book's page and look for the 'Download' link in the right-hand column.

    As scale and demand increase, so does Complexity. Fortunately, scalability and simplicity are not mutually exclusive—rather than using some trendy technology, a different approach is needed. Big data systems use many machines working in parallel to store and process data, which introduces fundamental challenges unfamiliar to most developers.Big Data shows how to build these systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy to understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to use them in practice, and how to deploy and operate them once they're built.Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.

    The pytest testing framework helps you write tests quickly and keep them readable and maintainable - with no boilerplate code. Using a robust yet simple fixture model, it's just as easy to write small tests with pytest as it is to scale up to complex functional testing for applications, packages, and libraries. This book shows you how.For Python-based projects, pytest is the undeniable choice to test your code if you're looking for a full-featured, API-independent, flexible, and extensible testing framework. With a full-bodied fixture model that is unmatched in any other tool, the pytest framework gives you powerful features such as assert rewriting and plug-in capability - with no boilerplate code.With simple step-by-step instructions and sample code, this book gets you up to speed quickly on this easy-to-learn and robust tool. Write short, maintainable tests that elegantly express what you're testing. Add powerful testing features and still speed up test times by distributing tests across multiple processors and running tests in parallel. Use the built-in assert statements to reduce false test failures by separating setup and test failures. Test error conditions and corner cases with expected exception testing, and use one test to run many test cases with parameterized testing. Extend pytest with plugins, connect it to continuous integration systems, and use it in tandem with tox, mock, coverage, unittest, and doctest.Write simple, maintainable tests that elegantly express what you're testing and why.What You Need: The examples in this book are written using Python 3.6 and pytest 3.0. However, pytest 3.0 supports Python 2.6, 2.7, and Python 3.3-3.6.

     FreeMind is a premier mind mapping software written in Java. It is a high-productivity tool that can make all your online mind mapping simple. Organize, prioritize, know where you are, where you've been and where you're heading with FreeMind. Mind mapping can be used for brainstorming, goal planning, product design, event planning, and so much more - the only limit is your own creativity. Use this guide's step-by-step instructions and screenshots to learn how to create your own digital mind maps. THIS BOOK DOES NOT TEACH YOU MIND MAPPING CONCEPTS OR BASICS. It ONLY shows you how to use the FreeMind software that creates digital mind maps. If you are new to mind maps, you may want to pick up Mind Mapping Secrets - Achieving Your Goals for a quick primer on how to create mind maps using pen and paper. Then take your maps to a new level with this easy to master How To guide today.

    The novel approach taken here banishes determinants to the end of the book and focuses on the central goal of linear algebra: understanding the structure of linear operators on vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. For example, the book presents - without having defined determinants - a clean proof that every linear operator on a finite-dimensional complex vector space (or an odd-dimensional real vector space) has an eigenvalue. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra. This second edition includes a new section on orthogonal projections and minimization problems. The sections on self-adjoint operators, normal operators, and the spectral theorem have been rewritten. New examples and new exercises have been added, several proofs have been simplified, and hundreds of minor improvements have been made throughout the text.

    Stop and smell the tulips as you hike past whirring windmills. Visit the ultramodern European Parliament. Explore beyond the cosmopolitan bustle of Brussels with trips to Ghent and Antwerp. When it’s time for a break, sample fine chocolates or sip local beers—each served in its own distinctive glass.Rick’s candid, humorous advice will guide you to good-value hotels and restaurants. He’ll help you plan where to go and what to see, depending on the length of your trip. You’ll get up-to-date recommendations about what is worth your time and money. More than just reviews and directions, a Rick Steves guidebook is a tour guide in your pocket.This first edition guide replaces Rick Steves' Snapshot Bruges & Brussels, ISBN 9781612382296.

    

    Buy a plant, dig a hole in the ground, drop the plant in it, and cover it up waiting for blooms to suddenly appear. If only it were that simple. The overall idea of gardening is basic, but gardening is very intricate. It

    Through his own personal story and those of nine other Rangers, Barber illuminates fundamental lessons about what it really takes to win. These first-person accounts of trial and triumph highlight the importance and the inherent truth of the Army's most fundamental leadership principles: seeking and taking responsibility for your actions, and knowing yourself and seeking self-improvement. Adhering to those principles--and putting them at the core of your organization--will push you and your company to do more and do it better.