Awesome List Updates on Apr 25 - May 01, 2016

42 awesome lists updated this week.

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1. Guitarspecs

Sound and Playability Influencing Factors

Guitar Necks / Neck Heel Width and Mounting

Guitar Necks / Fretboard's Radius

Guitar Necks / Common Neck Head Shapes

Guitar Necks / Tuner Holes

Guitar Bodies / Other Rare Bridge Variants

Hardware Parts Checklist / Pickup Routing

Electronics / Volume and Tone Potentiometer Options

2. Awesome Electron

Closed Source / Other

3. Css Protips

Translations / Demo

4. Awesome Symfony

Ecommerce

5. Awesome Ionic

Backend as a Service

6. Tips

Extract file from another branch.

git show <branch_name>:<file_name>

7. Awesome Nodejs

Resources / Discovery

Resources / Articles

8. Awesome Laravel

Popular Packages / Utilities

9. Awesome Audio Visualization

Experiments

10. Awesome Rethinkdb

Documentation

Community

Community / ORM

Community / Extension Libraries

Community / Technology Integrations

Community Supported Drivers / Technology Integrations

11. Colorful

Tools / Libraries

Tools / Web App

Color Palettes / Web App

Articles / Web App

12. Awesome Book Authoring

Writing Workflows and Tooling

Personal Experiences, Post Mortems and Campfire Stories

13. Awesome Jvm

Metaprogramming

Documentation

Media

People

14. Awesome Network Analysis

Books / General Overviews

Review Articles / Ethics of Network Analysis

Software / Social, Economic and Political Networks

15. Js Must Watch

2015

2016

16. Vertx Awesome

Service Factory

Dependency Injection

17. Awesome Micro Npm Packages

Modules / Array

Modules / String

18. Awesome Cyclejs

Learn / Videos

Libraries / Drivers

19. Awesome Cpp

Frameworks

Machine Learning

20. Awesome Malware Analysis

Malware Collection / Malware Corpora

21. Learn to Program

Advanced

Project Euler

Free mathematical/computer programming problems
(programming, mathematics)

22. Awesome Elm

Articles / Outdated articles (Not relevant for current Elm architecture)

Boilerplates / Outdated Boilerplates

23. Amas

Ask these people anything!

24. Awesome Dropwizard

Open Source / Eclipse

25. Awesome Swift

Images / Barcode

26. Awesome Sre

Culture

Reliability

Service Level Agreement

Programming

Misc Articles

27. Awesome Economics

Economics on GitHub / Economists

Economics on GitHub / Projects

28. Awesome Math

Books

29. Awesome Tensorflow

Community

30. Awesome Jquery

Forms / Paid Books

31. Awesome Elixir

Algorithms and Data structures

Applications

Behaviours and Interfaces

Cloud Infrastructure and Management

Configuration

Examples and funny stuff

Miscellaneous

ORM and Datamapping

Testing

Validations

Reading

32. Rbooks

Finance

Introduction to R for Quantitative Finance [Packt]

Introduction to R for Quantitative Finance will show you how to solve real-world quantitative finance problems using the statistical computing language R. The book covers diverse topics ranging from time series analysis to fi nancial networks. Each chapter briefl y presents the theory behind specific concepts and deals with solving a diverse range of problems using R with the help of practical examples.

This book will be your guide on how to use and master R in order to solve quantitative finance problems. This book covers the essentials of quantitative finance, taking you through a number of clear and practical examples in R that will not only help you to understand the theory, but how to effectively deal with your own real-life problems.

Starting with time series analysis, you will also learn how to optimize portfolios and how asset pricing models work. The book then covers fixed income securities and derivatives such as credit risk management.

Reports

R Packages [Online] [Amazon]

Packages are the fundamental units of reproducible R code. They include reusable R functions, the documentation that describes how to use them, and sample data. In this section you’ll learn how to turn your code into packages that others can easily download and use. Writing a package can seem overwhelming at first. So start with the basics and improve it over time. It doesn’t matter if your first version isn’t perfect as long as the next version is better.

Visualization

R Data Visualization Cookbook [Amazon]

This book is packed with practical recipes, designed to provide you with all the guidance needed to get to grips with data visualization with R. It starts off with the basics of R plots and an introduction to heat maps and customizing them, before gradually taking you through creating interactive maps using the googleVis package, generating choropleth maps and contouring maps, bubble plots, and pie charts. You will then learn how to animate 2D and 3D plots in R. By the end of the book, you will be equipped with the key techniques to create impressive data visualizations with professional efficiency and precision.

33. Awesome D3

Miscellaneous / Third Party

34. Awesome Dotnet

GUI

Mathematics

Tools

Source Generator

35. Awesome Vorpal

Extensions / Toolbox

36. Awesome Machine Learning

Scala / Data Analysis / Data Visualization

37. Awesome R

Web Technologies and Services

Natural Language Processing

Network Analysis

R Development

Lists / Book/monograph Lists and Reviews

38. Awesome Groovy

Language Utilities

39. Awesome Rxjava

Articles

40. Awesome Deep Learning

Researchers / Frameworks

41. Awesome Wicket

Libraries

Libraries / WicketStuff

Web Frameworks / WicketStuff

Solutions / WicketStuff

42. Engineering Blogs

Companies / T companies

Products/Technologies / L technologies

Products/Technologies / S technologies