Awesome List Updates on Sep 28 - Oct 04, 2015

34 awesome lists updated this week.

🏠 Home · 🔍 Search · 🔥 Feed · 📮 Subscribe · ❤️ Sponsor

1. Awesome Machine Learning

JavaScript / General-Purpose Machine Learning

2. Awesome Opensource Documents

Subjects / Computer Science

Subjects / Data Science and Statistics

Subjects / Mathematics & Physics

Subjects / Programming

Subjects / World Wide Web

Subjects / ETC

Programming Languages / Javascript

Tools / Editor

Tools / Git

Tools / etc.

Other Languages / Korean

Another Documents List / References / Chinese

3. Free Programming Books (Chinese)

操作系统

4. Awesome Iot

Hardware

Software / Operating systems

Software / Frameworks

5. Awesome Unity

2D

6. Awesome Neo4j

REST API / Python

REST API / Other

Miscellaneous / Other

7. Awesome Webaudio

Packages / Frameworks

Packages / MIDI

Packages / Apps

8. Awesome Microservices

Frameworks / Runtimes

C

D

Erlang VM / Elixir

Erlang VM / Erlang

Go / Erlang

Haskell / Erlang

Java VM / Clojure

Java VM / Java

Java VM / Scala

Node.js / Scala

API Gateways / Edge Services / Scala

Configuration & Discovery / Scala

Elasticity / Scala

Serialization / Scala

Storage / Scala

Security / Scala

9. Awesome R

Syntax

Graphic Displays

10. Awesome Artificial Intelligence

Competitions

11. Awesome Github

Infomation for people who are new to GitHub

Tips, tricks, tools, and add-ons for GitHub power users

Resources for those already familiar with GitHub

12. Awesome Ruby

CMS

Queues and Messaging

13. Awesome Php

Table of Contents / Framework Extras

14. Awesome Computer Vision

Visual Tracking / Nearest Neighbor Field Estimation

15. Awesome Emails

Articles / Misc

Design / Misc

Resources / Misc

16. Sublime Bookmarks

Fun stuff / Alternative Icons

Fun stuff / Monospace Fonts

17. Awesome Phalcon

Application Skeleton

Command Line

18. Awesome Flexbox

Cross Browser / Articles

19. Amas

Ask these people anything!

Ask these organizations anything!

20. BEM Resources

Articles

21. Awesome Dataviz

C++ tools / Misc

Ruby tools / Misc

Other tools / Misc

22. Awesome Malware Analysis

Malware Collection / Malware Corpora

Open Source Threat Intelligence / Tools

Open Source Threat Intelligence / Other Resources

Detection and Classification / Other Resources

Online Scanners and Sandboxes / Other Resources

Domain Analysis / Other Resources

Deobfuscation / Other Resources

Debugging and Reverse Engineering / Other Resources

Network / Other Resources

Windows Artifacts / Other Resources

Miscellaneous / Other Resources

Other / Other Resources

23. Awesome Security

Other Awesome Lists / Other Security Awesome Lists

24. Awesome Geojson

editors & viewers

25. Awesome Jquery

Editors / Paid Books

Images, Maps and Charts / Paid Books

Menus / Paid Books

Testing / Paid Books

26. Awesome Elixir

ORM and Datamapping

XML

27. Awesome Angular

Community

Cheatsheet

Video Tutorials / Components

On-Site Training / Components

Integrations / Components

Universal General Resources / Components

TypeScript General Resources / Components

TypeScript Seed Projects / Components

Dart General Resources / Components

Dart Seed Projects / Components

Dart Demo, Samples, and Examples / Components

Traceur General Resources / Components

Babel General Resources / Components

NativeScript General Resources / Components

NativeScript Seed Projects / Components

React Native General Resources / Components

React Native Projects / Components

28. Rbooks

Beginner Books

The R Book [Amazon]

Very massive, hugely successful and popular text presenting an extensive and comprehensive guide for all R users. Covers wide variaty of R topics in great detail with very useful examples.

R for Everyone: Advanced Analytics and Graphics [Amazon]

Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you’ll need to accomplish 80 percent of modern data tasks. Book's self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You’ll download and install R; navigate and use the R environment; master basic program control, data import, and manipulation; and walk through several essential tests. Then, building on this foundation, you’ll construct several complete models, both linear and nonlinear, and use some data mining techniques.

29. Awesome Dotnet

Image Processing

Push Notifications

Static Site Generators

30. Awesome Jvm

Garbage collectors

Memory and concurrency

Metaprogramming

Native

Profilers

31. Awesome Bigdata

Key Map Data Model

32. Awesome Rails Gem

User / Authentication

User / Omniauth

Active Record / Omniauth

Plugins / Omniauth

API / Omniauth

Searching / Omniauth

Scheduled/Recurrence Jobs / Omniauth

View Helper / Omniauth

Environment Variables / Omniauth

Admin Panel / Omniauth

Debug / Omniauth

Testing / Omniauth

Testing / Security

Production / Security

Error Logging / Security

Asset Pipeline / Security

33. Awesome Shell

Shell Script Development / Directory Navigation

34. Awesome Promises

Resources, Blogs, and Books / For beginners

Promises/A+ Implementations (ES6/ES2015 compatible) / Strict Implementations