Three free books on R for Statistics
Avril Coghlan, a lecturer at University College Cork in Ireland, has written and made available for free three books ideal for students or practitioners new to R who want to use it for multivariate analysis, time series analysis or biomedical statistics. Each book begins with practical advice for installing and using R in general, before diving into their specialized topics: A Little Book of R for Multivariate Analysis (pdf, 49 pages) is a simple introduction to multivariate analysis using the R statistics software. All three books are free to use, share and remix under a Creative Commons license, and are available from Dr Coghlan's home page linked below. Dr Avril Coghlan: avrilomics
Flavored Markdown - Introduction
GitHub uses what we're calling "GitHub Flavored Markdown" (GFM) for messages, issues, and comments. It differs from standard Markdown (SM) in a few significant ways and adds some additional functionality. If you're not already familiar with Markdown, you should spend 15 minutes and go over the excellent Markdown Syntax Guide at Daring Fireball.
TeX Live
TeX Live is an easy way to get up and running with the TeX document production system. It provides a comprehensive TeX system with binaries for most flavors of Unix, including GNU/Linux, and also Windows. It includes all the major TeX-related programs, macro packages, and fonts that are free software, including support for many languages around the world. Some starting points for actually using TeX are in this introduction to the TeX world.
15 Websites To Test Your Codes Online
Modern trends and webapps have dramatically changed the way web developers can build. Obviously you need some type of IDE to code new files and save them for deployment. But what about just testing your code snippets? There are more tools available now than ever before!
50 Great Examples of Data Visualization
Wrapping your brain around data online can be challenging, especially when dealing with huge volumes of information. And trying to find related content can also be difficult, depending on what data you’re looking for. But data visualizations can make all of that much easier, allowing you to see the concepts that you’re learning about in a more interesting, and often more useful manner.
WikiSyntax - support - The reference to the wiki syntax for Google Code projects - User support for Google Project Hosting
Each wiki page is stored in a .wiki file under the /wiki directory in a project's repository. Each file's name is the same as the wiki page name. And, each wiki file consists of optional pragma lines followed by the content of the page. Optional pragma lines provide metadata about the page and how it should be displayed. These lines are only processed if they appear at the top of the file.
List of tools for static code analysis
This is a list of tools for static code analysis. Language[edit] Multi-language[edit]
Tutorials: External Data into Processing I
This is Part I of a tutorial covering various methods for pulling external data into Processing. We’ll start with the basics of the java String class and end with an example that grabs from a mySQL database using PHP code into Processing. At times, I will simply refer to existing content from the Learning Processing book as well as this site’s PHP tutorial. As of now, this page is designed to cover the material for weeks 9 and 10 in ITP’s Introduction to Computational Media course, but ultimately it’s my hope that this material will make its way into a new edition of Learning Processing. Here is Part II The String class: who, what, where, when why
Tutorial: Processing, Javascript, and Data Visualization
[The above graphic is an interactive 3D bar graph. If you can't see it, it's probably because your browser sucks can't render WebGL content. Maybe try Chrome or Firefox?] Ben Fry and Casey Reas, the initiators of the Processing project, announced at the Eyeo Festival that a new version of Processing, Processing 2.0, will be released in the fall (VIDEO).
Data visualization tutorial in Processing
If you absolutely refuse to touch any code, I suggest Many Eyes or one of the fine FD sponsors, but if you're looking to get your hands dirty, Processing is a great place to start. Jer Thorp, whose work we saw not too long ago, posts this introduction tutorial for data visualization with Processing. I’m going to start from scratch, work through some examples, and (hopefully) make some interesting stuff.
How to convert M3U to MP3 file?
M3U is a computer file in the format of a text file that stores a multimedia playlist. To play the playlist in MP3 format, one has to download the link embedded in the M3U file by right clicking on the file to open it and then copy the M3U file on a text editor or Notepad. Now, edit the local path of the downloaded file, save it on a local hard disk and then add it to the playlist and open a browser, paste the file and enter. Download the audio song that has been easily converted into mp3 format.
