UsefulLinks
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
8.
Working with Text Data
8.1.
String Methods
8.1.1.
.str Accessor
8.1.2.
Case Conversion
8.1.2.1.
.str.lower()
8.1.2.2.
.str.upper()
8.1.2.3.
.str.title()
8.1.2.4.
.str.capitalize()
8.1.3.
Whitespace Handling
8.1.3.1.
.str.strip()
8.1.3.2.
.str.lstrip()
8.1.3.3.
.str.rstrip()
8.1.4.
String Splitting and Joining
8.1.4.1.
.str.split()
8.1.4.2.
.str.cat()
8.1.5.
String Replacement
8.1.5.1.
.str.replace()
8.1.6.
Pattern Matching
8.1.6.1.
.str.contains()
8.1.6.2.
.str.match()
8.1.6.3.
.str.extract()
8.1.6.4.
.str.extractall()
8.1.7.
String Properties
8.1.7.1.
.str.len()
8.1.7.2.
.str.count()
8.1.8.
String Formatting
8.1.8.1.
.str.repeat()
8.1.8.2.
.str.pad()
8.1.8.3.
.str.center()
8.1.8.4.
.str.ljust()
8.1.8.5.
.str.rjust()
8.1.9.
Encoding and Decoding
8.1.9.1.
.str.encode()
8.1.9.2.
.str.decode()
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7. Grouping and Aggregation
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9. Working with Time Series Data