NumPy & Pandas – Data Processing (Python)

Use Cases (UC)

• UC1 – Create and manipulate single-dimensional NumPy arrays for basic data operations.
• UC2 – Work with multi-dimensional NumPy arrays for matrix-based computations.
• UC3 – Perform mathematical operations on NumPy arrays using vectorized computations.
• UC4 – Apply slicing and indexing techniques on NumPy arrays for data extraction.
• UC5 – Reshape and split NumPy arrays for structured data transformation.
• UC6 – Create and manage Pandas Series and DataFrames from different data sources.
• UC7 – Perform DataFrame slicing, filtering, and column selection operations.
• UC8 – Apply arithmetic operations and modify DataFrame columns dynamically.
• UC9 – Handle missing and duplicate data with cleaning techniques in DataFrames.
• UC10 – Perform aggregation and group-by operations for data analysis and summarization.