But what if you could have your computer do them for you?In "Automate the Boring Stuff with Python," you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand no prior programming experience required. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and impressive feats of automation to: Search for text in a file or across multiple filesCreate, update, move, and rename files and foldersSearch the Web and download online contentUpdate and format data in Excel spreadsheets of any sizeSplit, merge, watermark, and encrypt PDFsSend reminder emails and text notificationsFill out online formsStep-by-step instructions walk you through each program, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks.Don't spend your time doing work a well-trained monkey could do. Even if you've never written a line of code, you can make your computer do the grunt work. Learn how in "Automate the Boring Stuff with Python.""

    "More concretely," the authors explain, "it is the controlled manipulation of mathematical formulas, using a collection of techniques for solving problems."

    You have also created a website for your business that details the products or services that you offer, but it doesn't allow potential customers to purchase anything online. Don't risk losing business-learn to create a dynamic online environment using only three programs. PHP, MySQL and Apache are three popular open-source tools that can work together to help you create a dynamic website, such as an online shopping experience. Sams Teach Yourself PHP, MySQL and Apache All in One is a complete reference manual for all three development tools. You will learn how to install, configure and set up the PHP scripting language, use the MySQL database system, and work with the Apache Web server. Then you'll take it a step further and discover how they work together to create a dynamic website. Use the book and the included CD to create a simple website, as well as a mailing list, online address book, shopping cart and storefront. Updated to reflect the most recent developments in PHP and MySQL, including the final stable release of MySQL 5.0, you will open your website to limitless possibilities with Sams Teach Yourself PHP, MySQL and Apache All in One.

    “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior.In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing.www.big-data-book.com

     I’m going to show you examples, rock solid proof, that unknown authors used the keyword phrases in this book to rank higher than superstar authors like J.A. Konrath or Barry Eisler. You can start getting visibility today because...This Book Marketing Guide Answers The Most Critical Question You Face As A Fiction Writer:What keyword phrases should I use for my novel? I’m not going to show you how to find them. I’m going to tell you what they are. This Kindle selling book is quite literally an encyclopedia of keyword phrases that buyers type into Amazon’s search engine when they try to find books in your genre. It’s your biggest challenge answered: Discoverability.Writing a Young Adult novel? Click on the “Young Adult” link in this Kindle selling book and it’ll take you to a list of keyword phrases people use to find YA books. Writing a thriller? A romance? Same thing. My team of researchers pulled the keyword phrases directly out of Amazon’s “Leading Indicators.” Special Bonus! They include Amazon’s “Relative Importance” ranking, which shows you which keyword phrases are more likely to lead to a sale. Get excited! This is your ticket to huge sales! Inside This Kindle Publishing Guide You Will Find The Most Effective Keyword Phrases For Books In: • Romance- Christian- Contemporary- Fantasy & Futuristic- Historical Romance- Paranormal- Romantic Suspense- Time Travel- Vampires- Westerns • Fantasy- Alternative History- Contemporary- Dark Fantasy- Epic- Historical- Paranormal- Urban • Mystery & Thrillers- Crime- Mystery- Police Procedurals- Thrillers• Horror- Dark Fantasies- Occult- Ghosts• And...- Science Fiction- Action Adventure- Contemporary Fiction- Erotica- Literary Fiction- Historical Fiction- Christian Fiction- Gay & Lesbian- Medical- Men’s Adventure- Sea Adventures- Sports- War How To Sell More Books On Amazon, Part Two. Every book buyer goes through nine decision points on their way to a purchase. Will they click on your cover? Read your book description? Click on “Look Inside? Wince at your price? Read your reviews? I’m going to show you how you can influence each of the nine decision points so they result in a sale. This includes how to:• Come up with clever, must-click titles.• Create mesmerizing covers.• Write a book description that ignites click lust. • Use HTML to format your book description.• Use the “look inside!” Feature to clinch the sale.• Set the right price for your book.• Get reviews that jump-starts sales.About Michael AlvearWhen I published my first books on Kindle, I’d check my anemic sales and let out a string of cuss words that made my dog blush. Then I developed my Attract•Engage•Convert strategy and sales took off.

    With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."-- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."-- Tim Wolters, CTO, Collective Intellect

    Photographs, illustrations, screen shots, and images of 3D models are included for each project.This unique resource emphasizes using off-the-shelf components, readily available materials, and accessible fabrication techniques. Simple projects give you hands-on practice applying the skills covered in each chapter, and more complex projects at the end of the book incorporate topics from multiple chapters. Turn your imaginative ideas into reality with help from this practical, inventive guide.Discover how to:Find and select materialsFasten and join partsMeasure force, friction, and torqueUnderstand mechanical and electrical power, work, and energyCreate and control motionWork with bearings, couplers, gears, screws, and springsCombine simple machines for work and funProjects include:Rube Goldberg breakfast machineMousetrap powered carDIY motor with magnet wireMotor direction and speed controlDesigning and fabricating spur gearsAnimated creations in paperAn interactive rotating platformSmall vertical axis wind turbineSADbot: the seasonally affected drawing robotMake Great Stuff!TAB, an imprint of McGraw-Hill Professional, is a leading publisher of DIY technology books for makers, hackers, and electronics hobbyists.

    The authors present updated coverage of compilers based on research and techniques that have been developed in the field over the past few years. The book provides a thorough introduction to compiler design and covers topics such as context-free grammars, fine state machines, and syntax-directed translation.

    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.

    Salesforce.com (more than 50%) and Twitter (more than 75% fall into this category. Ebay gets more than 8 billion API calls a month. Facebook and Google, have dozens of APIs that enable both free services and e-commerce, get more than 5 billion API calls each day. Other companies like NetFlix have expanded their service of streaming movies over the the web to dozens of devices using API. At peak times, more than 20 percent of all traffic is accounted for by Netflix through its APIs. Companies like Sears and E-Trade are opening up their catalogs and other services to allow developers and entrepreneurs to create new marketing experiences. Making an API work to create a new channel is not just a matter of technology. An API must be considered in terms of business strategy, marketing, and operations as well as the technical aspects of programming. This book, written by Greg Brail, CTO of Apigee, and Brian Mulloy, VP of Products, captures the knowledge of all these areas gained by Apigee, the leading company in supporting the rollout of high traffic APIs.

    Verification that algorithms work is emphasized more than their complexity. An effective use of examples, and huge number of interesting exercises, demonstrate the topics of trees and distance, matchings and factors, connectivity and paths, graph coloring, edges and cycles, and planar graphs. For those who need to learn to make coherent arguments in the fields of mathematics and computer science.

    It reduces design debt, accelerates the design process, and builds bridges between teams working in concert to bring products to life. Learn how you can create your design system and help your team improve product quality while reducing design debt.

    With a multiple book buying audience, this book doesn't require a specific background or technical experience. It is designed to help make a more interesting connection between the physical world and the computer world. The audience size is comparable to that of the Robot builder market. In addition to this audience, physical computing is also taught at several universities across the US. This book is a great source of information and knowledge for anyone interested in bridging the gap between the physical and the virtual.

    Often, computer science and computer engineering curricula don't provide students with a concentrated and consistent introduction to the fundamental concepts that underlie all computer systems. Traditional computer organization and logic design courses cover some of this material, but they focus largely on hardware design. They provide students with little or no understanding of how important software components operate, how application programs use systems, or how system attributes affect the performance and correctness of application programs. - A more complete view of systems - Takes a broader view of systems than traditional computer organization books, covering aspects of computer design, operating systems, compilers, and networking, provides students with the understanding of how programs run on real systems. - Systems presented from a programmers perspective - Material is presented in such a way that it has clear benefit to application programmers, students learn how to use this knowledge to improve program performance and reliability. They also become more effective in program debugging, because t

    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