# Awesome List Updates on Apr 27, 2016

7 awesome lists updated today.

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## 1. 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.

## 2. Awesome Elm

Articles / Outdated articles (Not relevant for current Elm architecture)

- Elm & Guarantees - a realistic look at where Elm is and isn’t superior to other options.

## 3. Awesome Malware Analysis

Malware Collection / Malware Corpora

- VirusShare - Malware repository, registration required.

## 4. Awesome Dotnet

Tools

- Opserver (⭐4.5k) - Stack Exchange's Monitoring System

## 5. Awesome Elixir

Applications

- Consolex (⭐120) - Consolex is a tool that allows you to attach a web based console to any mix project.

Testing

- wallaby (⭐1.6k) - Wallaby helps test your web applications by simulating user interactions concurrently and manages browsers.

## 6. Awesome R

Lists / Book/monograph Lists and Reviews

- RStartHere (⭐655) - A guide to some of the most useful R packages, organized by workflow.

## 7. Learn to Program

Advanced

#### Project Euler

**Free** mathematical/computer programming problems*(programming, mathematics)*

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