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Module 2
Data Handling and Visualization in Python
1
Importing Standard Library Modules
Import and use functions from Python standard library modules
2
Installing and Importing Libraries with pip
Install and import third-party libraries using pip
3
List Comprehensions for Concise List Creation and Transformation
Write list comprehensions to create and transform lists concisely
NumPy Array Manipulation
Create and manipulate NumPy arrays (indexing, slicing, reshaping)
5
NumPy Array Operations
Perform element-wise and matrix operations on NumPy arrays
6
Data Manipulation with pandas
Load, inspect, and select data in pandas DataFrames
7
Data Aggregation with Pandas
Perform data aggregation on a DataFrame using methods like `groupby()` and `agg()`
8
Introduction to Matplotlib for Basic Plotting
Create basic plots (line, scatter, histogram) using Matplotlib
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Programming Foundations in Python
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Logic and Computational Thinking