The Cornered Cat: A Woman's Guide to Concealed Carry


Kathy Jackson - 2010
    It covers everything from cleaning a pistol to methods of carry. It tells women everything they ever wanted to know about how to carry a firearm for self defense. The Cornered Cat is all about women that have chosen or are considering choosing firearms for self defense, sport, or just wanting to understand more about what their menfolk find so fascinating. This book contains a wealth of information presented in Kathy's warm and often humorous style. She tackles the serious considerations of using deadly force in defense of oneself and loved ones in a thought-provoking, non-judgmental, "between girlfriends" prose that is neither threatening nor sugar-coated, just very real.

Learning the bash Shell


Cameron Newham - 1995
    This book will teach you how to use bash's advanced command-line features, such as command history, command-line editing, and command completion.This book also introduces shell programming,a skill no UNIX or Linus user should be without. The book demonstrates what you can do with bash's programming features. You'll learn about flow control, signal handling, and command-line processing and I/O. There is also a chapter on debugging your bash programs.Finally, Learning the bash Shell, Third Edition, shows you how to acquire, install, configure, and customize bash, and gives advice to system administrators managing bash for their user communities.This Third Edition covers all of the features of bash Version 3.0, while still applying to Versions 1.x and 2.x. It includes a debugger for the bash shell, both as an extended example and as a useful piece of working code. Since shell scripts are a significant part of many software projects, the book also discusses how to write maintainable shell scripts. And, of course, it discusses the many features that have been introduced to bash over the years: one-dimensional arrays, parameter expansion, pattern-matching operations, new commands, and security improvements.Unfailingly practical and packed with examples and questions for future study, Learning the bash Shell Third Edition is a valuable asset for Linux and other UNIX users.--back cover

Think Python


Allen B. Downey - 2002
    It covers the basics of computer programming, including variables and values, functions, conditionals and control flow, program development and debugging. Later chapters cover basic algorithms and data structures.

Facebook Marketing for Dummies


Paul Dunay - 2009
    With Facebook, an organization can market and promote their brand, products, or services via the network's built-in components of profile pages, polls, community building, advertising, word-of-mouth marketing, and business applications. This insightful resource focuses on the strategies, tactics, and techniques necessary to lead your organization into the world of Facebook marketing.Packed with vital real-world case studies, the book serves as a must-have guide for the most reliable, responsible, and ethical business and marketing practices with Facebook.A helpful reference that discusses essential strategies, tactics, and techniques for excelling in the world of Facebook marketing Examines setting up a business profile page, hosting an event on Facebook, and tracking your return-on-investment Shares strategies for successful Facebook advertising campaigns Demonstrates how to create widgets and Facebook applications Face it: this essential book contains everything you need to know for your foray into Facebook marketing.Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

Instant Pot Cookbook: 500 Most Delicious Recipe Collection Anyone Can Cook


Roy Fisher - 2017
    Your level of experience with instant pot doesn't matter - our book applies to any level! Get your copy now!

RESTful Web Services Cookbook


Subbu Allamaraju - 2010
    This cookbook includes more than 100 recipes to help you take advantage of REST, HTTP, and the infrastructure of the Web. You'll learn ways to design RESTful web services for client and server applications that meet performance, scalability, reliability, and security goals, no matter what programming language and development framework you use.Each recipe includes one or two problem statements, with easy-to-follow, step-by-step instructions for solving them, as well as examples using HTTP requests and responses, and XML, JSON, and Atom snippets. You'll also get implementation guidelines, and a discussion of the pros, cons, and trade-offs that come with each solution.Learn how to design resources to meet various application scenariosSuccessfully design representations and URIsImplement the hypertext constraint using links and link headersUnderstand when and how to use Atom and AtomPubKnow what and what not to do to support cachingLearn how to implement concurrency controlDeal with advanced use cases involving copying, merging, transactions, batch processing, and partial updatesSecure web services and support OAuth

An Introduction to Statistical Learning: With Applications in R


Gareth James - 2013
    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

Artificial Intelligence: Structures and Strategies for Complex Problem Solving


George F. Luger - 1997
    It is suitable for a one or two semester university course on AI, as well as for researchers in the field.

The Quick Python Book


Naomi R. Ceder - 2000
    This updated edition includes all the changes in Python 3, itself a significant shift from earlier versions of Python.The book begins with basic but useful programs that teach the core features of syntax, control flow, and data structures. It then moves to larger applications involving code management, object-oriented programming, web development, and converting code from earlier versions of Python.True to his audience of experienced developers, the author covers common programming language features concisely, while giving more detail to those features unique to Python.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.

Doing Data Science


Cathy O'Neil - 2013
    But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science.Topics include:Statistical inference, exploratory data analysis, and the data science processAlgorithmsSpam filters, Naive Bayes, and data wranglingLogistic regressionFinancial modelingRecommendation engines and causalityData visualizationSocial networks and data journalismData engineering, MapReduce, Pregel, and HadoopDoing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.

PHP and MySQL Web Development (Developer's Library)


Luke Welling - 2003
    This book helps you develop websites by integrating and implementing the PHP scripting language and the MySQL database system. It contains real-world examples and working sample projects that give you a foundation to start building your own websites.

Learning Perl


Randal L. Schwartz - 1993
    Written by three prominent members of the Perl community who each have several years of experience teaching Perl around the world, this edition has been updated to account for all the recent changes to the language up to Perl 5.8.Perl is the language for people who want to get work done. It started as a tool for Unix system administrators who needed something powerful for small tasks. Since then, Perl has blossomed into a full-featured programming language used for web programming, database manipulation, XML processing, and system administration--on practically all platforms--while remaining the favorite tool for the small daily tasks it was designed for. You might start using Perl because you need it, but you'll continue to use it because you love it.Informed by their years of success at teaching Perl as consultants, the authors have re-engineered the Llama to better match the pace and scope appropriate for readers getting started with Perl, while retaining the detailed discussion, thorough examples, and eclectic wit for which the Llama is famous.The book includes new exercises and solutions so you can practice what you've learned while it's still fresh in your mind. Here are just some of the topics covered:Perl variable typessubroutinesfile operationsregular expressionstext processingstrings and sortingprocess managementusing third party modulesIf you ask Perl programmers today what book they relied on most when they were learning Perl, you'll find that an overwhelming majority will point to the Llama. With good reason. Other books may teach you to program in Perl, but this book will turn you into a Perl programmer.

Ambient Findability: What We Find Changes Who We Become


Peter Morville - 2005
    Written by Peter Morville, author of the groundbreaking Information Architecture for the World Wide Web, the book defines our current age as a state of unlimited findability. In other words, anyone can find anything at any time. Complete navigability.Morville discusses the Internet, GIS, and other network technologies that are coming together to make unlimited findability possible. He explores how the melding of these innovations impacts society, since Web access is now a standard requirement for successful people and businesses. But before he does that, Morville looks back at the history of wayfinding and human evolution, suggesting that our fear of being lost has driven us to create maps, charts, and now, the mobile Internet.The book's central thesis is that information literacy, information architecture, and usability are all critical components of this new world order. Hand in hand with that is the contention that only by planning and designing the best possible software, devices, and Internet, will we be able to maintain this connectivity in the future. Morville's book is highlighted with full color illustrations and rich examples that bring his prose to life.Ambient Findability doesn't preach or pretend to know all the answers. Instead, it presents research, stories, and examples in support of its novel ideas. Are we truly at a critical point in our evolution where the quality of our digital networks will dictate how we behave as a species? Is findability indeed the primary key to a successful global marketplace in the 21st century and beyond. Peter Morville takes you on a thought-provoking tour of these memes and more -- ideas that will not only fascinate but will stir your creativity in practical ways that you can apply to your work immediately.

Google Drive & Docs In 30 Minutes


Ian Lamont - 2012
    Millions of people use Google Drive and its popular word processor, Docs, every day. You too can use Drive and Docs to perform the following tasks: * Write letters and reports* Enter data into Sheets, Google's free online spreadsheet program* Give presentations using Slides* Collaborate online with classmates and colleagues on important documents* Convert documents to different file formats * Print documents, drawings, and spreadsheets* Export PDFs * Make pie charts, bar charts, and simple tables* Publish documents and spreadsheets onlineThere are a lot of features, including some unfamiliar ones for people who are used to Microsoft Office. "Google Drive & Docs In 30 Minutes" cuts through the clutter, using screenshots, step-by-step instructions, and plain English. After covering registration, file creation and other basics, the book zeroes in on the most important time-saving tips and productivity tools. Highlights include:* Converting files between Microsoft Office and Google Drive formats.* Best practices for organizing files in Google Drive.* What to expect with collaboration in Google Drive.* Using Google Drive on phones and tablets: What works, and what doesn't.* Accessing older versions of files.* How to publish your documents to the Web for colleagues or members of the public to view.* Sorting and filtering data in Google Spreadsheets (with examples).* Using Web Forms to gather data.* Google Slides: Is it a suitable alternative to Microsoft PowerPoint or Apple Keynote?* Working with offline files.* Downloading third-party apps."Google Drive And Docs In 30 Minutes" is an In 30 Minutes™ guide. Other books in the series include "Dropbox In 30 Minutes", "Google Blogger For Small Businesses In 30 Minutes", and "Excel Basics In 30 Minutes".

Engineering a Compiler


Keith D. Cooper - 2003
    No longer is execution speed the sole criterion for judging compiled code. Today, code might be judged on how small it is, how much power it consumes, how well it compresses, or how many page faults it generates. In this evolving environment, the task of building a successful compiler relies upon the compiler writer's ability to balance and blend algorithms, engineering insights, and careful planning. Today's compiler writer must choose a path through a design space that is filled with diverse alternatives, each with distinct costs, advantages, and complexities.Engineering a Compiler explores this design space by presenting some of the ways these problems have been solved, and the constraints that made each of those solutions attractive. By understanding the parameters of the problem and their impact on compiler design, the authors hope to convey both the depth of the problems and the breadth of possible solutions. Their goal is to cover a broad enough selection of material to show readers that real tradeoffs exist, and that the impact of those choices can be both subtle and far-reaching.Authors Keith Cooper and Linda Torczon convey both the art and the science of compiler construction and show best practice algorithms for the major passes of a compiler. Their text re-balances the curriculum for an introductory course in compiler construction to reflect the issues that arise in current practice.