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Data Analysis in Python with Pandas
Getting Started to Data Analysis in Python with Pandas
Installation Instructions (7:22)
Setting up your Environment (4:33)
Tools of the Trade, The IPython Notebook (7:29)
Maps (8:24)
Filters (5:56)
List Comprehensions (5:59)
Lambda Functions (3:28)
NumPy Array Basics (7:52)
Boolean Selection (1:33)
Helpful Methods and Shortcuts (4:45)
Vectorization (11:57)
Multi-Dimensional Arrays (4:28)
Querying Slicing, Combining, and Splitting Arrays (4:05)
Overview of the pandas Series (4:22)
Look Ups, Selections, and Indexing (14:49)
Advanced Indexing Options (3:42)
Handling NaN Values, Reindexing, Filling Methods and Series Addition (3:00)
Series Multiplication, More Reindexing, and Mapping (9:02)
DataFrame Basics (1:40)
Data Maintenance, Adding/ Removing Columns and Rows (7:51)
Basic Grouping, Concepts of Aggregate Functions (19:09)
pandas.IO.Data, Panels and Hierarchical Indexing (23:20)
Advanced Reading Csvs/HTML, Binning, Categorical Data (3:51)
Advanced Groupings and Aggregate Functions (5:43)
More Grouping Functions including Apply and Transform (30:04)
pandas.IO.Data, Panels and Hierarchical Indexing
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