Lecture 4: NumPy Arrays – Creation and Attributes

Lecture 5: Array Indexing, Slicing, and Reshaping

Lecture 6: Universal Functions (ufuncs) and Broadcasting

Lecture 7: Element-wise Operations and Mathematical Functions

Lecture 8: Aggregation and Statistical Operations

Lecture 9: Sorting, Searching, and Set Operations

Lecture 10: Array Manipulation – Stacking, Splitting, and Joining

Lecture 11: Advanced Indexing and Boolean Masking

Lecture 12: Linear Algebra with NumPy

Lecture 13: Data Loading and Saving with NumPy

Lecture 14: Data Transformation and Cleaning

Lecture 15: Working with Time Series Data

Lecture 16: Understanding Memory Usage and Performance

Lecture 17: Best Practices for Efficient NumPy Code

Lecture 18: Profiling and Debugging NumPy Applications

Lecture 19: Introduction to SciPy, Pandas, and Matplotlib

Lecture 20: NumPy in Machine Learning and Scientific Research