Download Mod Perl Developers Cookbook full books in PDF, epub, and Kindle. Read online free Mod Perl Developers Cookbook ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : Geoffrey Young |
| Publisher | : Sams Publishing |
| Total Pages | : 676 |
| Release | : 2002 |
| Genre | : Computers |
| ISBN | : 9780672322402 |
A task-based reference that will provide experienced developers with useful recipes and easy-to-follow solutions to common problems when using mod_perl in Web applications. The first mod_perl cookbook, containing valuable recipes that use mod_perl to extend the Apache API. with tricks, solutions, and idioms .
| Author | : Stas Bekman |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 924 |
| Release | : 2003 |
| Genre | : Computers |
| ISBN | : 0596002270 |
This book gives detailed instructions on how to use, optimize, and troubleshoot mod_perl. It shows how to get this Apache module running quickly and easily.
| Author | : Lincoln Stein |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 756 |
| Release | : 1999 |
| Genre | : Computers |
| ISBN | : 9781565925670 |
Apache is the most popular web server on the Internet because it is free, reliable, and extensible. The availability of the source code and the modular design of Apache makes it possible to extend web server functionality through the Apache API. For the most part, however, the Apache API has only been available to C programmers, and requires rebuilding the Apache server from source. mod_perl, the popular Apache module used primarily for enhanced CGI performance, changed all that by making the Apache API available to Perl programmers. With mod_perl, it becomes simple to develop Apache modules with Perl and install them without having to rebuild the web server. Writing Apache Modules with Perl and C shows how to extend web server capabilities regardless of whether the programming language is Perl or C. The book explains the design of Apache, mod_perl, and the Apache API. It then demonstrates how to use them to perform for tasks like the following: Rewriting CGI scripts as Apache modules to vastly improve performance Server-side filtering of HTML documents, to embed special markup or code (much like SSI) Enhancing server log functionality Converting file formats on the fly Implementing dynamic navigation bars Incorporating database access into CGI scripts Customizing access control and authorization to block robots or to use an external database for passwords The authors are Lincoln Stein and Doug MacEachern. Lincoln is the successful author of How to Set Up and Maintain a World Wide web Site and the developer of the widely used Perl CGI.pm module. Doug is a consultant and the creator of the innovative mod_perl Apache module.
| Author | : Dave Rolsky |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 318 |
| Release | : 2002-10-16 |
| Genre | : Computers |
| ISBN | : 0596002254 |
This is the first book to introduce Mason, an open source Perl-based platformwith template elements.
| Author | : TJ O'Connor |
| Publisher | : Newnes |
| Total Pages | : 289 |
| Release | : 2012-12-28 |
| Genre | : Computers |
| ISBN | : 1597499641 |
Violent Python shows you how to move from a theoretical understanding of offensive computing concepts to a practical implementation. Instead of relying on another attacker's tools, this book will teach you to forge your own weapons using the Python programming language. This book demonstrates how to write Python scripts to automate large-scale network attacks, extract metadata, and investigate forensic artifacts. It also shows how to write code to intercept and analyze network traffic using Python, craft and spoof wireless frames to attack wireless and Bluetooth devices, and how to data-mine popular social media websites and evade modern anti-virus. - Demonstrates how to write Python scripts to automate large-scale network attacks, extract metadata, and investigate forensic artifacts - Write code to intercept and analyze network traffic using Python. Craft and spoof wireless frames to attack wireless and Bluetooth devices - Data-mine popular social media websites and evade modern anti-virus
| Author | : Sal Mangano |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 830 |
| Release | : 2010-04-02 |
| Genre | : Computers |
| ISBN | : 1449390765 |
Mathematica Cookbook helps you master the application's core principles by walking you through real-world problems. Ideal for browsing, this book includes recipes for working with numerics, data structures, algebraic equations, calculus, and statistics. You'll also venture into exotic territory with recipes for data visualization using 2D and 3D graphic tools, image processing, and music. Although Mathematica 7 is a highly advanced computational platform, the recipes in this book make it accessible to everyone -- whether you're working on high school algebra, simple graphs, PhD-level computation, financial analysis, or advanced engineering models. Learn how to use Mathematica at a higher level with functional programming and pattern matching Delve into the rich library of functions for string and structured text manipulation Learn how to apply the tools to physics and engineering problems Draw on Mathematica's access to physics, chemistry, and biology data Get techniques for solving equations in computational finance Learn how to use Mathematica for sophisticated image processing Process music and audio as musical notes, analog waveforms, or digital sound samples
| Author | : Michael Stutz |
| Publisher | : No Starch Press |
| Total Pages | : 825 |
| Release | : 2004 |
| Genre | : Computers |
| ISBN | : 1593270313 |
Provides step-by-step instructions on how to use the computer operating system Linux.
| Author | : Paul DuBois |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 1101 |
| Release | : 2014-07-28 |
| Genre | : Computers |
| ISBN | : 144937414X |
MySQL’s popularity has brought a flood of questions about how to solve specific problems, and that’s where this cookbook is essential. When you need quick solutions or techniques, this handy resource provides scores of short, focused pieces of code, hundreds of worked-out examples, and clear, concise explanations for programmers who don’t have the time (or expertise) to solve MySQL problems from scratch. Ideal for beginners and professional database and web developers, this updated third edition covers powerful features in MySQL 5.6 (and some in 5.7). The book focuses on programming APIs in Python, PHP, Java, Perl, and Ruby. With more than 200+ recipes, you’ll learn how to: Use the mysql client and write MySQL-based programs Create, populate, and select data from tables Store, retrieve, and manipulate strings Work with dates and times Sort query results and generate summaries Use stored routines, triggers, and scheduled events Import, export, validate, and reformat data Perform transactions and work with statistics Process web input, and generate web content from query results Use MySQL-based web session management Provide security and server administration
| Author | : Wes McKinney |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 553 |
| Release | : 2017-09-25 |
| Genre | : Computers |
| ISBN | : 1491957611 |
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples
