Awesome List Updates on Nov 02 - Nov 08, 2015

39 awesome lists updated this week.

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1. Vertx Awesome

Miscellaneous

2. Awesome Microservices

Testing / Scala

3. Awesome Godot

Plugins and scripts / Godot version unknown

Other / Godot version unknown

4. Awesome Courses

Courses / Algorithms

5. Engineering Blogs

Companies / G companies

Companies / R companies

Individuals/Group Contributors / N individuals

6. Awesome Aws

Social / Twitter Influencers

7. Awesome Electron

Open Source / Other

8. Js Must Watch

2015

9. Awesome Salesforce

The Fiery Meter of AWSome

10. Awesome Rest

Go / Symfony2

Querying / Symfony2

11. Awesome Functional Programming

Table of Contents / Papers

Table of Contents / Wikis

Table of Contents / Books

Table of Contents / Communities

Table of Contents / Discussions (Quora, Stack Overflow, Reddit, etc)

Table of Contents / Lectures

Table of Contents / Tools

Table of Contents / Repos

12. Awesome Fonts

JavaScript libs / Programming fonts with ligatures

13. Awesome Dotnet

Caching

Static Site Generators

Testing

14. Awesome Jquery

Miscellaneous Plugins / Paid Books

15. Awesome Flexbox

Presentations / Videos

Featured Projects / Slides and Notes

16. Awesome Refinerycms

Frontoffice extensions

Backoffice extensions

Spree e-commerce + Refinery extensions

Refinery team extensions / Main project

Refinery team extensions / Frontoffice extensions

Refinery team extensions / Backoffice extensions

Refinery team extensions / Developer tools

17. Awesome Github

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

Novel uses of GitHub

18. Awesome Linux Containers

Specifications

Containers

Another Information Sources / Technologies for security

19. Awesome Rxjava

Bindings

Utilities

Testing

Guides

20. Awesome Deep Learning

Researchers / Frameworks

21. Tips

Everyday Git in twenty commands or so

git help everyday

Stash changes before rebasing

git rebase --autostash

Fetch pull request by ID to a local branch

git fetch origin pull/<id>/head:<branch-name>

Alternatives:

git pull origin pull/<id>/head:<branch-name>

22. Awesome Android Ui

Layout

List / Grid

Label / Form

Effect

23. Rbooks

Data Science

Practical Data Science with R [Amazon]

Practical Data Science with R shows you how to apply the R programming language and useful statistical techniques to everyday business situations. Using examples from marketing, business intelligence, and decision support, it shows you how to design experiments (such as A/B tests), build predictive models, and present results to audiences of all levels.

This book is accessible to readers without a background in data science. Some familiarity with basic statistics, R, or another scripting language is assumed.

R in Action: Data Analysis and Graphics with R [Amazon]

With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression.

R Programming for Data Science [Leanpub] Free

R in Action, Second Edition teaches you how to use the R language by presenting examples relevant to scientific, technical, and business developers. Focusing on practical solutions, the book offers a crash course in statistics, including elegant methods for dealing with messy and incomplete data. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on forecasting, data mining, and dynamic report writing.

Finance

Exploratory Data Analysis with R [Leanpub] Free

This book teaches you to use R to effectively visualize and explore complex datasets. Exploratory data analysis is a key part of the data science process because it allows you to sharpen your question and refine your modeling strategies. This book is based on the industry-leading Johns Hopkins Data Science Specialization, the most widely subscribed data science training program ever created.

24. Toolsforactivism

Open-source host-it-yourself:

25. Awesome PICO 8

Contents / Community

26. Creative Commons Media

Graphics

27. Awesome Geek Podcasts

In English

28. Awesome Android

Game Development

GUI / Images

29. Awesome Ctf

Wargames

30. Awesome Ruby

API Builder and Discovery

Assets

Authentication and OAuth

Configuration

DevOps Tools

Documentation

E-Commerce and Payments

Ebook

File Upload

HTTP Clients and tools

Mobile Development

ORM/ODM

PDF

Search

Third-party APIs

31. Awesome Tech Videos

Programming Languages / JavaScript

Programming Languages / Ruby

Motivation / Scala

Diversity / Scala

32. Awesome Geojson

conversion

33. Awesome Iot

Software / Frameworks

34. Awesome Swift

JSON

Localization / Barcode

35. Awesome Elixir

Cloud Infrastructure and Management

Macros

Testing

Screencasts

36. Awesome Clojure

Audio

37. Awesome Javascript

SDK / Other

Misc / Other

38. Awesome Codepoints

Code Points that Affect Others

39. Awesome Nodejs

Packages / Mad science

Packages / Filesystem

Packages / Streams

Packages / Parsing

Packages / Testing

Packages / Process management

Packages / Miscellaneous