Practical Object Oriented Design in Ruby


Sandi Metz - 2012
    The Web is awash in Ruby code that is now virtually impossible to change or extend. This text helps you solve that problem by using powerful real-world object-oriented design techniques, which it thoroughly explains using simple and practical Ruby examples. Sandi Metz has distilled a lifetime of conversations and presentations about object-oriented design into a set of Ruby-focused practices for crafting manageable, extensible, and pleasing code. She shows you how to build new applications that can survive success and repair existing applications that have become impossible to change. Each technique is illustrated with extended examples, all downloadable from the companion Web site, poodr.info. The first title to focus squarely on object-oriented Ruby application design, Practical Object-Oriented Design in Ruby will guide you to superior outcomes, whatever your previous Ruby experience. Novice Ruby programmers will find specific rules to live by; intermediate Ruby programmers will find valuable principles they can flexibly interpret and apply; and advanced Ruby programmers will find a common language they can use to lead development and guide their colleagues. This guide will help you Understand how object-oriented programming can help you craft Ruby code that is easier to maintain and upgrade Decide what belongs in a single Ruby class Avoid entangling objects that should be kept separate Define flexible interfaces among objects Reduce programming overhead costs with duck typing Successfully apply inheritance Build objects via composition Design cost-effective tests Solve common problems associated with poorly designed Ruby code

Data Smart: Using Data Science to Transform Information into Insight


John W. Foreman - 2013
    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.

Beginning Python: From Novice to Professional


Magnus Lie Hetland - 2005
    Based on "Practical Python," this newly-revised book is both an introduction and practical reference for a swath of Python-related programming topics, including addressing language internals, database integration, network programming, and web services. Advanced topics, such as extending Python and packaging/distributing Python applications, are also covered.Ten different projects illustrate the concepts introduced in the book. You will learn how to create a P2P file-sharing application and a web-based bulletin board, and how to remotely edit web-based documents and create games. Author Magnus Lie Hetland is an authority on Python and previously authored "Practical Python." He also authored the popular online guide, Instant Python Hacking, on which both books are based.

The Linux Command Line


William E. Shotts Jr. - 2012
    Available here:readmeaway.com/download?i=1593279523The Linux Command Line, 2nd Edition: A Complete Introduction PDF by William ShottsRead The Linux Command Line, 2nd Edition: A Complete Introduction PDF from No Starch Press,William ShottsDownload William Shotts’s PDF E-book The Linux Command Line, 2nd Edition: A Complete Introduction

The Myths of Innovation


Scott Berkun - 2007
    We depend more than we realize on wishful thinking and romanticized ideas of history. In the new paperback edition of this fascinating book, a book that has appeared on MSNBC, CNBC, Slashdot.org, Lifehacker.com and in The New York Times, bestselling author Scott Berkun pulls the best lessons from the history of innovation, including the recent software and web age, to reveal powerful and suprising truths about how ideas become successful innovations -- truths people can easily apply to the challenges of today. Through his entertaining and insightful explanations of the inherent patterns in how Einstein’s discovered E=mc2 or Tim Berner Lee’s developed the idea of the world wide web, you will see how to develop existing knowledge into new innovations.Each entertaining chapter centers on breaking apart a powerful myth, popular in the business world despite it's lack of substance. Through Berkun's extensive research into the truth about innovations in technology, business and science, you’ll learn lessons from the expensive failures and dramatic successes of innovations past, and understand how innovators achieved what they did -- and what you need to do to be an innovator yourself. You'll discover:Why problems are more important than solutionsHow the good innovation is the enemy of the greatWhy children are more creative than your co-workersWhy epiphanies and breakthroughs always take timeHow all stories of innovations are distorted by the history effectHow to overcome people’s resistance to new ideasWhy the best idea doesn’t often winThe paperback edition includes four new chapters, focused on appling the lessons from the original book, and helping you develop your skills in creative thinking, pitching ideas, and staying motivated."For centuries before Google, MIT, and IDEO, modern hotbeds of innovation, we struggled to explain any kind of creation, from the universe itself to the multitudes of ideas around us. While we can make atomic bombs, and dry-clean silk ties, we still don’t have satisfying answers for simple questions like: Where do songs come from? Are there an infinite variety of possible kinds of cheese? How did Shakespeare and Stephen King invent so much, while we’re satisfied watching sitcom reruns? Our popular answers have been unconvincing, enabling misleading, fantasy-laden myths to grow strong." -- Scott Berkun, from the text"Berkun sets us free to change the world." -- Guy Kawasaki, author of Art of the StartScott was a manager at Microsoft from 1994-2003, on projects including v1-5 (not 6) of Internet Explorer. He is the author of three bestselling books, Making Things Happen, The Myths of Innovation and Confessions of a Public Speaker. He works full time as a writer and speaker, and his work has appeared in The New York Times, Forbes magazine, The Economist, The Washington Post, Wired magazine, National Public Radio and other media. He regularly contributes to Harvard Business Review and Bloomberg Businessweek, has taught creative thinking at the University of Washington, and has appeared as an innovation and management expert on MSNBC and on CNBC. He writes frequently on innovation and creative thinking at his blog: scottberkun.com and tweets at @berkun.

Programming WCF Services


Juval Lowy - 2007
    Relentlessly practical, the book delivers insight, not documentation, to teach developers what they need to know to build the next generation of SOAs.After explaining the advantages of service-orientation for application design and teaching the basics of how to develop SOAs using WCF, the book shows how you can take advantage of built-in features such as service hosting, instance management, asynchronous calls, synchronization, reliability, transaction management, disconnected queued calls and security to build best in class applications. "Programming WCF Services" focuses on the rationale behind particular design decisions, often shedding light on poorly-documented and little-understood aspects of SOA development. Developers and architects will learn not only the "how" of WCF programming, but also relevant design guidelines, best practices, and pitfalls. Original techniques and utilities provided by the author throughout the book go well beyond anything that can be found in conventional sources.Based on experience and insight gained while taking part in the strategic design of WCF and working with the team that implemented it, "Programming WCF Services" provides experienced working professionals with the definitive work on WCF. Not only will this book make you a WCF expert, it will make you a better software engineer. It's the Rosetta Stone of WCF.

Pro Git


Scott Chacon - 2009
    It took the open source world by storm since its inception in 2005, and is used by small development shops and giants like Google, Red Hat, and IBM, and of course many open source projects.A book by Git experts to turn you into a Git expert. Introduces the world of distributed version control Shows how to build a Git development workflow.

Naked Statistics: Stripping the Dread from the Data


Charles Wheelan - 2012
    How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions.And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.

The Google Story: Inside the Hottest Business, Media and Technology Success of Our Time


David A. Vise - 2005
    The Google Story takes you deep inside the company's wild ride from an idea that struggled for funding in 1998 to a firm that rakes in billions in profits, making Brin and Page the wealthiest young men in America. Based on scrupulous research and extraordinary access to Google, this fast-moving narrative reveals how an unorthodox management style and culture of innovation enabled a search engine to shake up Madison Avenue and Wall Street, scoop up YouTube, and battle Microsoft at every turn. Not afraid of controversy, Google is expanding in Communist China and quietly working on a searchable genetic database, initiatives that test the founders' guiding mantra: DON'T BE EVIL.

Java Web Services: Up and Running


Martin Kalin - 2009
    You'll learn how to write web services from scratch and integrate existing services into your Java applications. With Java Web Services: Up and Running, you will:Understand the distinction between SOAP-based and REST-style services Write, deploy, and consume SOAP-based services in core Java Understand the Web Service Definition Language (WSDL) service contract Recognize the structure of a SOAP message Learn how to deliver Java-based RESTful web services and consume commercial RESTful services Know security requirements for SOAP- and REST-based web services Learn how to implement JAX-WS in various application servers Ideal for students as well as experienced programmers, Java Web Services: Up and Running is the concise guide you need to start working with these technologies right away.

Always Be Testing: The Complete Guide to Google Website Optimizer


Bryan Eisenberg - 2008
    If you're looking for more leads, sales, and profit from your website, then look no further than this expert guide to Google's free A/B and multivariate website testing tool, Google Website Optimizer. Recognized online marketing guru and New York Times bestselling author, Bryan Eisenberg, and his chief scientist, John Quarto-vonTivadar, show you how to test and tune your site to get more visitors to contact you, buy from you, subscribe to your services, or take profitable actions on your site. This practical and easy-to-follow reference will help you:Develop a testing framework to meet your goals and objectives Improve your website and move more of your customers to action Select and categorize your products and services with a customer-centric view Optimize your landing pages and create copy that sells Choose the best test for a given application Reap the fullest benefits from your testing experience Increase conversions with over 250 testing ideas Take the guesswork out of your online marketing efforts. Let Always Be Testing: The Complete Guide to Google Website Optimizer show you why you should test, how to test, and what to test on your site, and ultimately, help you discover what is best for your site and your bottom line.

Introduction to Machine Learning with Python: A Guide for Data Scientists


Andreas C. Müller - 2015
    If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.With this book, you'll learn:Fundamental concepts and applications of machine learningAdvantages and shortcomings of widely used machine learning algorithmsHow to represent data processed by machine learning, including which data aspects to focus onAdvanced methods for model evaluation and parameter tuningThe concept of pipelines for chaining models and encapsulating your workflowMethods for working with text data, including text-specific processing techniquesSuggestions for improving your machine learning and data science skills

Hands-On Machine Learning with Scikit-Learn and TensorFlow


Aurélien Géron - 2017
    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

Hacking: The Art of Exploitation


Jon Erickson - 2003
    This book explains the technical aspects of hacking, including stack based overflows, heap based overflows, string exploits, return-into-libc, shellcode, and cryptographic attacks on 802.11b.

CoffeeScript


Trevor Burnham - 2011
    It provides all of JavaScript's functionality wrapped in a cleaner, more succinct syntax. In the first book on this exciting new language, CoffeeScript guru Trevor Burnham shows you how to hold onto all the power and flexibility of JavaScript while writing clearer, cleaner, and safer code.CoffeeScript: Accelerated JavaScript Development offers a thorough introduction to this new language, starting from the basics. You'll learn to use time-saving features like list comprehensions and splats, organize your code into modules with extensible classes, and deploy your work to multiple environments. Each chapter is example-driven and includes challenging exercises to push your CoffeeScript know-how further. Through the course of the book, you'll build a fast-paced multiplayer word game-writing both the client (with jQuery) and server (with Node.js) in CoffeeScript. And because the two languages are so deeply intertwined, you'll deepen your understanding of JavaScript along the way. CoffeeScript makes it easier than ever to write powerful, standards-compliant JavaScript code. CoffeeScript: Accelerated JavaScript Development lets you start doing it today.