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Python in a Nutshell

This book offers Python programmers one place to look when they needhelp remembering or deciphering the syntax of this open source languageand its many powerful but scantily documented modules. Thiscomprehensive reference guide makes it easy to look up the mostfrequently needed information--not just about the Python languageitself, but also the most frequently used parts of the standard libraryand the most important third-party extensions. Ask any Python aficionado and you'll hear that Python programmers haveit all: an elegant object-oriented language with readable andmaintainable syntax, that allows for easy integration with componentsin C, C++, Java, or C#, and an enormous collection of precoded standardlibrary and third-party extension modules. Moreover, Python is easy tolearn, yet powerful enough to take on the most ambitious programmingchallenges. But what Python programmers used to lack is a concise andclear reference resource, with the appropriate measure of guidance inhow best to use Python's great power. Python in aNutshell fills this need. Python in a Nutshell, Second Edition covers morethan the language itself; it also deals with the mostfrequently used parts of the standard library, and the most popular andimportant third party extensions. Revised and expanded forPython 2.5, this book now contains the gory details of Python's newsubprocess module and breaking news about Microsoft's newIronPython project. Our "Nutshell" format fits Python perfectly bypresenting the highlights of the most important modules and functionsin its standard library, which cover over 90% of your practicalprogramming needs. This book includes: A fast-paced tutorial on the syntax of the Python language An explanation of object-oriented programming in Python Coverage of iterators, generators, exceptions, modules,packages, strings, and regular expressions A quick reference for Python's built-in types and functionsand key modules Reference material on important third-party extensions,such as Numeric and Tkinter Information about extending and embedding Python Python in a Nutshell provides a solid,no-nonsense quick reference to information that programmers rely on themost. This book will immediately earn its place in any Pythonprogrammer's library. Praise for the First Edition: "In a nutshell, Python in a Nutshell serves oneprimary goal: to act as an immediately accessible goal for the Pythonlanguage. True, you can get most of the same core information that ispresented within the covers of this volume online, but this willinvariably be broken into multiple files, and in all likelihood lackingthe examples or the exact syntax description necessary to trulyunderstand a command." --Richard Cobbett, Linux Format "O'Reilly has several good books, of which Python in aNutshell by Alex Martelli is probably the best for giving yousome idea of what Python is about and how to do useful things with it." --Jerry Pournelle, Byte Magazine

This book will immediately earn its place in any Pythonprogrammer's library. Praise for the First Edition: "In a nutshell, Python in a Nutshell serves oneprimary goal: to act as an immediately accessible goal for the Pythonlanguage.

Cisco IOS Cookbook

Never has something cried out for a cookbook quite as much as Cisco's Internetwork Operating System (IOS). IOS is powerful and flexible, but also confusing and daunting. Most tasks can be accomplished in several different ways. And you don't want to spend precious time figuring out which way is best when you're trying to solve a problem quickly. That's what this cookbook is for. Fortunately, most router configuration tasks can be broken down into several more or less independent steps: you configure an interface, you configure a routing protocol, you set up backup links, you implement packet filters and other access control mechanisms. What you really need is a set of recipes that show you how to perform the most common tasks, so you can quickly come up with a good configuration for your site. And you need to know that these solutions work: you don't want to find yourself implementing a backup link at 2 A.M. because your main link is down and the backup link you set up when you installed the router wasn't quite right. Thoroughly revised and expanded, Cisco IOS Cookbook, 2nd Edition, adds sections on MPLS, Security, IPv6, and IP Mobility, and presents solutions to the most common configuration problems, including: Configuring interfaces of many types, from serial to ATM and Frame Relay Configuring all of the common IP routing protocols (RIP, EIGRP, OSPF, and BGP) Configuring authentication Configuring other services, including DHCP and NTP Setting up backup links, and using HSRP to configure backup routers Managing the router, including SNMP and other solutions Using access lists to control the traffic through the router If you work with Cisco routers, you need a book like this to help you solve problems quickly and effectively. Even if you're experienced, the solutions and extensive explanations will give you new ideas and insights into router configuration. And if you're not experienced--if you've just been given responsibility for managing a network with Cisco routers--this book could be a job-saver.

And if you're not experienced--if you've just been given responsibility for managing a network with Cisco routers--this book could be a job-saver.

Learning from JQuery

jQuery has made JavaScript development easier, and helped many developers build powerful applications quickly. Sometimes, though, you need to go beyond jQuery - because you need to work with someone else's code, because you need something smaller and lighter-weight, or because you need to go beyond what jQuery can do. This book will show you how to build on your core jQuery skills and go much further into JavaScript itself, examining event handler, function declaration, JavaScript patterns, and the DOM.

This book will show you how to build on your core jQuery skills and go much further into JavaScript itself, examining event handler, function declaration, JavaScript patterns, and the DOM.

R Cookbook

With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an experienced data programmer, it will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform other basic functions Input and output data Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals, and perform statistical tests Create a variety of graphic displays Build statistical models with linear regressions and analysis of variance (ANOVA) Explore advanced statistical techniques, such as finding clusters in your data "Wonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language—one practical example at a time."—Jeffrey Ryan, software consultant and R package author

With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently.

SQL and Relational Theory

How to Write Accurate SQL Code

SQL is full of difficulties and traps for the unwary. You can avoid them if you understand relational theory, but only if you know how to put the theory into practice. In this insightful book, author C.J. Date explains relational theory in depth, and demonstrates through numerous examples and exercises how you can apply it directly to your use of SQL. This second edition includes new material on recursive queries, “missing information” without nulls, new update operators, and topics such as aggregate operators, grouping and ungrouping, and view updating. If you have a modest-to-advanced background in SQL, you’ll learn how to deal with a host of common SQL dilemmas. Why is proper column naming so important? Nulls in your database are causing you to get wrong answers. Why? What can you do about it? Is it possible to write an SQL query to find employees who have never been in the same department for more than six months at a time? SQL supports “quantified comparisons,” but they’re better avoided. Why? How do you avoid them? Constraints are crucially important, but most SQL products don’t support them properly. What can you do to resolve this situation? Database theory and practice have evolved since the relational model was developed more than 40 years ago. SQL and Relational Theory draws on decades of research to present the most up-to-date treatment of SQL available. C.J. Date has a stature that is unique within the database industry. A prolific writer well known for the bestselling textbook An Introduction to Database Systems (Addison-Wesley), he has an exceptionally clear style when writing about complex principles and theory.

In this insightful book, author C.J. Date explains relational theory in depth, and demonstrates through numerous examples and exercises how you can apply it directly to your use of SQL.

R Graphics Cookbook

This practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the recipe works. Most of the recipes use the ggplot2 package, a powerful and flexible way to make graphs in R. If you have a basic understanding of the R language, you’re ready to get started. Use R’s default graphics for quick exploration of data Create a variety of bar graphs, line graphs, and scatter plots Summarize data distributions with histograms, density curves, box plots, and other examples Provide annotations to help viewers interpret data Control the overall appearance of graphics Render data groups alongside each other for easy comparison Use colors in plots Create network graphs, heat maps, and 3D scatter plots Structure data for graphing

This practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems.

Google SketchUp Cookbook

Practical Recipes and Essential Techniques

As the first book for intermediate and advanced users of Google SketchUp, this Cookbook goes beyond the basics to explore the complex features and tools that design professionals use. You'll get numerous step-by-step tutorials for solving common (and not so common) design problems, with detailed color graphics to guide your way, and discussions that explain additional ways to complete a task. Google SketchUp Cookbook will help you: Use SketchUp more efficiently by taking advantage of components and groups Learn new techniques for using Follow Me, Intersect, and constraints Go beyond simple textures with tools such as texture positioning and Photo Match Create animations and walkthroughs, and explore design scenarios by using layers and scenes Learn how to use styles to customize your presentations Combine SketchUp with the 3D Warehouse and Google Earth Google SketchUp Cookbook is ideal for architects, engineers, interior designers, product designers, woodworkers, and other professionals and hobbyists who want to work more efficiently and achieve true mastery of this amazing tool.

As the first book for intermediate and advanced users of Google SketchUp, this Cookbook goes beyond the basics to explore the complex features and tools that design professionals use.

Beautiful Data

The Stories Behind Elegant Data Solutions

In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging -- and beautiful -- working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video. With Beautiful Data, you will: Explore the opportunities and challenges involved in working with the vast number of datasets made available by the Web Learn how to visualize trends in urban crime, using maps and data mashups Discover the challenges of designing a data processing system that works within the constraints of space travel Learn how crowdsourcing and transparency have combined to advance the state of drug research Understand how new data can automatically trigger alerts when it matches or overlaps pre-existing data Learn about the massive infrastructure required to create, capture, and process DNA data That's only small sample of what you'll find in Beautiful Data. For anyone who handles data, this is a truly fascinating book. Contributors include: Nathan Yau Jonathan Follett and Matt Holm J.M. Hughes Raghu Ramakrishnan, Brian Cooper, and Utkarsh Srivastava Jeff Hammerbacher Jason Dykes and Jo Wood Jeff Jonas and Lisa Sokol Jud Valeski Alon Halevy and Jayant Madhavan Aaron Koblin with Valdean Klump Michal Migurski Jeff Heer Coco Krumme Peter Norvig Matt Wood and Ben Blackburne Jean-Claude Bradley, Rajarshi Guha, Andrew Lang, Pierre Lindenbaum, Cameron Neylon, Antony Williams, and Egon Willighagen Lukas Biewald and Brendan O'Connor Hadley Wickham, Deborah Swayne, and David Poole Andrew Gelman, Jonathan P. Kastellec, and Yair Ghitza Toby Segaran

In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging -- and beautiful -- working with data can be.

GIMP Pocket Reference

A handy compact guide to GNU Image Manipulation Program (GIMP) version 1.2 explains how to use the popular open source image editor and design application, discussing the function of each menu item, offering tips on the techniques of image manipulation, and describing the file formats supported by GIMP. Original. (Intermediate)

A handy compact guide to GNU Image Manipulation Program (GIMP) version 1.2 explains how to use the popular open source image editor and design application, discussing the function of each menu item, offering tips on the techniques of image ...

Erlang Programming

This book is an in-depth introduction to Erlang, a programming language ideal for any situation where concurrency, fault tolerance, and fast response is essential. Erlang is gaining widespread adoption with the advent of multi-core processors and their new scalable approach to concurrency. With this guide you'll learn how to write complex concurrent programs in Erlang, regardless of your programming background or experience. Written by leaders of the international Erlang community -- and based on their training material -- Erlang Programming focuses on the language's syntax and semantics, and explains pattern matching, proper lists, recursion, debugging, networking, and concurrency. This book helps you: Understand the strengths of Erlang and why its designers included specific features Learn the concepts behind concurrency and Erlang's way of handling it Write efficient Erlang programs while keeping code neat and readable Discover how Erlang fills the requirements for distributed systems Add simple graphical user interfaces with little effort Learn Erlang's tracing mechanisms for debugging concurrent and distributed systems Use the built-in Mnesia database and other table storage features Erlang Programming provides exercises at the end of each chapter and simple examples throughout the book.

This book is an in-depth introduction to Erlang, a programming language ideal for any situation where concurrency, fault tolerance, and fast response is essential.