In this video in the Data Science and Machine Learning Series, Shawn teaches you how to read data (CSV) files to a Pandas DataFrame. He also talks about some more advanced concepts, as well as talking about the pros and cons of the CSV file format for data analysis. As always, thanks for watching, and be sure to keep watching the data science and machine learning series.
Download the Jupyter (IPython) notebook and the cereal.csv file here: https://git.io/JcEtx
If you don't know how to download off GitHub, check this out: • How to Download a Single File or Code...
Timestamps:
0:00 Introduction
0:41 About CSV Files
1:24 File Types and Extensions
3:30 Running the Code
5:31 Parsing Errors
6:39 Advanced Concepts
9:34 Pros and Cons of CSV
10:40 Summary
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