Quantopian Lecture Series: Introduction to Pandas

A quantitative workflow is all about testing hypotheses on data. Before you can test hypotheses or do anything with your data, it needs to be in a format that is easy to access and to work with. pandas is a Python package specifically designed to make management and analysis of your data all part of the same intuitive workflow. It provides data structures that allow you to organize and perform efficient calculations on time series and cross-sectional data with ease. It underlies most of the computations done in the lecture series and is used by many cutting edge firms. In this lecture we will walk you through some basic use cases and make sure you’re familiar with all the components you need to get started.
More lectures can be found here: www.quantopian...
To learn more about Quantopian, visit us at: www.quantopian....
Disclaimer
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.