By the end of this book, you'll be able to create and extend any web application you can think of.
You’ll learn how to make the most of the popular GTK+ graphical user interface toolkit. Egan guides you through the creation and installation of plug-ins, and discusses strategies involved in supporting messaging protocols like MSN Messenger, AIM and IRC. He also covers topics such as multi-platform support and internationalization.
Pulling Strings with Puppet: Configuration Management Made Easy is the first book to introduce the powerful Puppet system administration tool. Author James Turnbull will guide you through Puppet’s key features, showing you how to install and configure the software, create automated Puppet tasks, known as recipes, and even create reporting solutions and extend Puppet further to your own needs. A bonus chapter is included covering the Facter library, which makes it a breeze to automate the retrieval of server configuration details such as IP and MAC addresses.
Improper design can lead to long-term dependencies on the Struts framework, which makes code reuse difficult to achieve. This is the only book of its kind, covering the Struts 1.2 framework. It also covers evolutions into Shale and lightweight WebWork/Struts Ti. Authors John Carnell and Rob Harrop discuss Struts from an antipattern perspective, and the end result is that you’ll learn to use Struts very effectively!
Author Matthew Moodie describes configuration files, as well as administration features like security, auto-deployment, remote deployment, and data sources. He gets right to the point and teaches you to use Tomcat without wasting time on Java or JSP introductions or excess discussion of JSP and Java code.
By working with a single case study throughout this thoroughly revised book, you’ll learn the entire process of exploratory data analysis—from collecting data and generating statistics to identifying patterns and testing hypotheses. You’ll explore distributions, rules of probability, visualization, and many other tools and concepts.
New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries.Develop an understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyImport data from most sources with Python, rather than rely on data that’s cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data
All programs and code snippets in this book are available as interactive samples in LINQPad. You can edit these samples and instantly see the results without needing to set up projects in Visual Studio. Written by the authors of C# 7.0 in a Nutshell, this pocket reference covers C# 7.0 without skimping on detail, including:All of C#’s fundamentalsFeatures new to C# 7.0, including tuples, pattern matching, and deconstructorsAdvanced topics: operator overloading, type constraints, iterators, nullable types, operator lifting, lambda expressions, and closuresLINQ: sequences, lazy execution, standard query operators, and query expressionsUnsafe code and pointers, custom attributes, preprocessor directives, and XML documentation
Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will thoroughly learn how to become proficient in Python 3.
This book covers:Python data model: understand how special methods are the key to the consistent behavior of objectsData structures: take full advantage of built-in types, and understand the text vs bytes duality in the Unicode ageFunctions as objects: view Python functions as first-class objects, and understand how this affects popular design patternsObject-oriented idioms: build classes by learning about references, mutability, interfaces, operator overloading, and multiple inheritanceControl flow: leverage context managers, generators, coroutines, and concurrency with the concurrent.futures and asyncio packagesMetaprogramming: understand how properties, attribute descriptors, class decorators, and metaclasses work
Through exercises in each chapter, you’ll try out programming concepts as you learn them. Think Python is ideal for students at the high school or college level, as well as self-learners, home-schooled students, and professionals who need to learn programming basics. Beginners just getting their feet wet will learn how to start with Python in a browser.Start with the basics, including language syntax and semanticsGet a clear definition of each programming conceptLearn about values, variables, statements, functions, and data structures in a logical progressionDiscover how to work with files and databasesUnderstand objects, methods, and object-oriented programmingUse debugging techniques to fix syntax, runtime, and semantic errorsExplore interface design, data structures, and GUI-based programs through case studies