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Computer Science
Data Science
Pandas Library
1. Introduction to Pandas
2. Core Data Structures
3. Data Loading and Saving
4. Indexing and Data Selection
5. Data Cleaning and Preparation
6. Combining and Reshaping Data
7. Grouping and Aggregation
8. Working with Text Data
9. Working with Time Series Data
10. Multi-level Indexing
11. Data Visualization
12. Advanced Topics and Performance
Combining and Reshaping Data
Concatenating DataFrames
concat() Function
Concatenating Along Rows
Concatenating Along Columns
Handling Indexes During Concatenation
append() Method
Appending Rows
Differences Between append() and concat()
Merging and Joining DataFrames
Database-style Joins
merge() Function
Inner Join
Left Join
Right Join
Outer Join
Merging on Multiple Keys
Handling Overlapping Column Names
Index-based Joining
join() Method
Joining DataFrames by Index
Reshaping DataFrames
Melting Data
melt() Function
Pivoting Data
pivot() Function
pivot_table() Function
Stacking and Unstacking
stack() Method
unstack() Method
Transposing DataFrames
transpose() Method
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7. Grouping and Aggregation