Collection of notebooks about quantitative finance, with interactive python code.

Video discussing this curriculum:

Quant Option Pricing - Exotic/Vanilla: Barrier, Asian, European, American, Parisian, Lookback, Cliquet, Variance Swap, Swing, Forward Starting, Step, Fader

Bermuda and Knock-out European Barrier Option pricing with Crank-Nicolson finite difference approximation

Estimating Value-at-Risk with a recurrent neural network (Jordan type) GARCH model

Short tutorial for TensorFlow, designed to be presented in-person

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Easily install and load packages from the tidyverse

Ready-to-run Docker images containing Jupyter applications

R kernel for Jupyter

Universal markup converter

An R Pandoc Writer: Convert arbitrary R objects into markdown

A collection of various notebook extensions for Jupyter

portfolio construction and quantitative analysis

A framework for quantitative finance In python.

Tools to import, manipulate and interactively visualise data.

Simple examples of PL/Python commands

DeployR fork of the popular R package, Rserve.

An R package showcasing how RStudio addins can be registered and used.

ggplot2 syntax in python. Actually wrapper around Wickham's ggplot2 in R

Jupyter Interactive Notebook

next generation slides for Jupyter Notebooks

A jupyter notebook serverextension providing config interfaces for nbextensions.

Custom Jupyter Notebook Themes

Webpage source for compilers-webpage

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Extract data from a wide range of Internet sources into a pandas DataFrame.

fuzzy