sefakilic/pydata-book

Materials for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Materials for "Python for Data Analysis"

IPython notebooks

• Chapter 2: Introductory examples
• Chapter 4: NumPy basics: arrays and vectorized computation
• Chapter 5: Getting started with pandas
• Chapter 6: Data loading, storage and file formats
• Chapter 7: Data wrangling: clean, transform, merge, reshape
• Chapter 8: Plotting and visualization
• Chapter 9: Data aggregation and group operations