Skip to content

Instantly share code, notes, and snippets.

Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save snapo/87a08f5a4478a63a056aa394f6dfd1f1 to your computer and use it in GitHub Desktop.
Save snapo/87a08f5a4478a63a056aa394f6dfd1f1 to your computer and use it in GitHub Desktop.

Intermediate Python for Finance Training

This is the Gist for Day 1 of the Intermediate Python for Finance Training in London, 28. November 2017

Agenda

Module 1 — Python

This module is a review of Python infrastructure elements and basic Python idioms.

The goal of this module is to be able to set up a proper Python environment, to know about basic tools and to be aware of basic Python functionality.

Module 2 — NumPy

This module covers numerical operations and algorithms with NumPy for finance.

NumPy is a central package in numerical and financial analysis. It allows for the performant implementation of financial algorithms based on concise, vectorized code.

The goal of this module is to understand the benefits of NumPy compared to pure Python code in finance.

Notebooks & Code Files

Below you find the all the notebooks and code files as worked on during this day.

The Python Quants

http://twitter.com/dyjh

team@tpq.io | http://tpq.io

http://pyalgo.tpq.io | http://certificate.tpq.io

Display the source blob
Display the rendered blob
Raw
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Display the source blob
Display the rendered blob
Raw
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment