How to Install ActivePython & Matplotlib for Finance Screencast

ActivePython on the ActiveState Platform now ships with Numpy, SciPy and matplotlib – three fundamental python packages for financial and scientific computing. With the recent US SEC proposals to use python for ABS financial models – there are more than a few python-curious accountants, analysts and regulators starting to research and play with python.

We thought it would be timely to start a series of screencasts geared at the absolute beginners focusing on Finance to help you started working with python.

This first screencast walks a first-time user through installing both ActivePython and matplotlib using the ActiveState package manager (PyPM) and then shows you how to download and run a sample python scripts that uses matplotlib.

Here’s the direct link to the video: http://www.youtube.com/watch?v=cGe301pxqMA

If you made it through this screencast without breaking a sweat, you can take a look at our examples (or “recipes” as we call them) in our Python Cookbook at https://code.activestate.com/recipes/langs/python

To learn about more open source python modules used in Finance, read our post on “Must-Have Python Packages for Finance.

If there are other screencast topics, that you’d like to see – let us know and we’ll see if we can cook some more up.

Title photo courtesy of Steve Johnson on Unsplash.

Diane Mueller

Diane Mueller

Diane Mueller is a Cloud Evangelist at ActiveState. She has been designing & implementing financial applications at Fortune 500 corporations for over 20 years. Diane has been actively involved in development efforts of XBRL Open Standard (http://www.xbrl.org) since 1999.