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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
Core Data Structures
The Series
Understanding the Series Object
Creating a Series
From Lists
From NumPy Arrays
From Dictionaries
With Custom Index
With Default Index
Series Attributes
index
values
dtype
name
size
shape
ndim
Basic Operations
Vectorized Operations
Accessing Elements by Label
Accessing Elements by Position
Slicing
Boolean Indexing
Arithmetic Operations
Alignment and Broadcasting
Series Methods
head()
tail()
unique()
value_counts()
sort_values()
sort_index()
The DataFrame
Understanding the DataFrame Object
Creating a DataFrame
From Dictionary of Lists
From List of Dictionaries
From NumPy Arrays
From Another DataFrame
From Series
With Custom Index and Columns
DataFrame Attributes
index
columns
dtypes
values
shape
size
ndim
Fundamental Inspection Methods
head()
tail()
info()
describe()
memory_usage()
sample()
DataFrame Methods
sort_values()
sort_index()
drop()
copy()
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3. Data Loading and Saving