Readings

See the course Syllabus for the reading schedule for  Python for Data Analysis: data wrangling with Pandas, Numpy, and Jupyter (2nd, or 3rd editions). Wes Mckinney. O’Reilly Media Inc.  ISBN 978-1491957660.  Available online at: https://wesmckinney.com/book 

Additional Readings by Topic

Pandas Indexing and Hierarchical Indices

1. 1. Read “Article1”  Author.
   2.  

Time Series Analysis

1. 1. Read “Article1”  Author.
   2.  

Merge/Join DataFrames

1. 1. Read “Article1”  Author.
   2.  

Plots/Charts

1. 1. Read “Article1”  Author.
   2.  

Plot Types

1. 1. Read “Article1”  Author.
   2.  

Visualization

1. 1. Read “Article1”  Author.
   2.  

Interactive Dashboards: Plotly Dash

1. 1. Read “Article1”  Author.
   2.  

Geolocation Data and Maps

1. 1. Read “Article1”  Author.
   2.  

K-means Cluster Analysis 

1. 1. Read “Article1”  Author.
   2.  

Interpolation

1. 1. Read “Article1”  Author.
   2.  

Selected Topics / Best Practices:

Decorators

1. 1. Read “Article1”  Author.
   2.  

Help and Documentation

1. 1. Read “Article1”  Author.
   2.  

1.  

2. Multi-threading

   1. Read “Article1”  Author.
   2.  

Archival / Storage

1. 1. Read “Article1”  Author.
   2.