Awesome List Updates on Oct 21, 2015
8 awesome lists updated today.
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1. Awesome Ruby
Code Analysis and Metrics
- Traceroute (⭐895) - A Rake task gem that helps you find the dead routes and actions for your Rails 3+ app
2. Awesome AutoHotkey
Debugging / Web
- Yunit (⭐41) - by Uberi and infogulch - Simple unit testing framework for AutoHotkey.
3. Awesome Artificial Intelligence
Misc
- Open Cognition Project - We're undertaking a serious effort to build a thinking machine
- AITopics - Large aggregation of AI resources
4. Engineering Blogs
Individuals/Group Contributors / J individuals
- James Hague http://prog21.dadgum.com/
5. Awesome Appsec
Articles
Node.js Security Checklist - Rising Stack Blog (2015)
Released: October 13, 2015
Covers a lot of useful information for developing secure Node.js applications.
6. Sublime Bookmarks
Extensions / Python Profile
- MagicPython (⭐1.4k) — Syntax highlighter for cutting edge Python for Sublime Text and Atom.
7. Awesome Codepoints
Standalone Code Points
- U+FFFD REPLACEMENT CHARACTER - when a character cannot be displayed (e.g., decoding an erroneous UTF-8 sequency), this code point steps into the breach.
Record Holders and Extremes / Breaking and Gluing other characters
- U+0000 <control> - first code point.
For Funsies / Breaking and Gluing other characters
- U+1DD2 COMBINING US ABOVE - this is the most romantic code point.
- U+F8FF PRIVATE USE CODEPOINT - this private use code point is rendered as Apple logo on many Apple devices.
8. Rbooks
Data Science
Mastering Data Science with R [Packt]
This book will give you the guidance you need to build and develop your knowledge and expertise. Bridging the gap between theory and practice, this book will help you to understand and use data for a competitive advantage.
Beginning with taking you through essential data mining and management tasks such as munging, fetching, cleaning, and restructuring, the book then explores different model designs and the core components of effective analysis. You will then discover how to optimize your use of machine learning algorithms for classification and recommendation systems beside the traditional and more recent statistical methods.
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- Next: Oct 20, 2015