Welcome to the Cookbook for R (formerly named R Cookbook). The goal of the cookbook is to provide solutions to common tasks and problems in analyzing data. Most of the code in these pages can be copied and pasted into the R command window if you want to see them in action.
The openssl application that ships with the OpenSSL libraries can perform a wide range of crypto operations. This HOWTO provides some cookbook-style recipes for using it.
We are building a community-written O'Reilly Cookbook about how to build great Android applications. It will be full of how-to information along with code snippets that illustrate the ideas presented. It will be complete, featuring both how-to's that overlap with the official documentation, and material that goes beyond this to be more tutorial, more in-depth, or explaining "lessons from the trenches": what actually works to get the application functioning well. Unlike most books written by one, two or a few individuals, this will have input from hundreds of contributors, who will be able to view and comment on each others' recipes before the book is printed. And after the book is printed, this site will continue to exist - with a larger collection of recipes than will fit in the printed book - and serve as an Android developer resource site long after.
We welcome contributions from anybody who has something useful to say about how to make usable and successful Android applications. There are several ways of contributing: experienced Android developers can write recipes; newer ones can suggest recipes that they'd like to see; anybody can read and comment on recipes; anybody can vote for existing recipes (voting indicates that you like the recipe and/or think it should be included in the printed edition of the book). All we ask of contributors is the following:
The Android Build Cookbook offers code snippets to help you quickly implement some common build tasks. For additional instruction, please see the other build documents in this section.
This is code implements the example given in pages 11-15 of An Introduction to the Kalman Filter by Greg Welch and Gary Bishop, University of North Carolina at Chapel Hill, Department of Computer Science.
Python Cookbook Welcome to the Python Cookbook, a collaborative collection of your contributions to Python lore. Python Cookbook code is freely available for use and review. We encourage you to contribute recipes (code and discussion), comments and rati