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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
Indexing and Data Selection
Column Selection
Single Column Selection
Multiple Column Selection
Selecting Columns by Data Type
Row Selection
By Integer Position
By Label
Row Slicing
Label-based Indexing
Using .loc
Selecting Rows and Columns by Label
Slicing with .loc
Conditional Selection with .loc
Position-based Indexing
Using .iloc
Selecting Rows and Columns by Position
Slicing with .iloc
Conditional Selection with .iloc
Boolean Indexing
Single Condition Filtering
Multiple Condition Filtering
Using .isin() Method
Filtering with .query() Method
Setting Values with Indexing
Assigning Values to Columns
Assigning Values to Rows
Conditional Assignment
The Index Object
Understanding Index Objects
Types of Index Objects
Index Immutability
Setting and Resetting Index
set_index() Method
reset_index() Method
Reindexing
reindex() Method
Reindexing Rows
Reindexing Columns
Filling Values During Reindexing
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3. Data Loading and Saving
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5. Data Cleaning and Preparation