Table of contents : Chapter 1: Introduction to Python Arrays Chapter 2: Creating and Initializing Arrays Chapter 3: Accessing Array Elements Chapter 4: Modifying Array Elements Chapter 5: Array Slicing and Indexing Chapter 6: Working with Multidimensional Arrays Chapter 7: Common Array Operations Chapter 8: Sorting and Searching in Arrays Chapter 9: Array Iteration and Looping Chapter 10: Understanding NumPy Arrays Chapter 11: Combining and Splitting Arrays Chapter 12: Array Manipulation Techniques Chapter 13: Practical Applications of Python Arrays Chapter 14: Troubleshooting and Debugging Chapter 15: Conclusion and Next Steps PYTHON PANDAS Chapter 1: Introduction to Python Pandas Chapter 2: Getting Started with Pandas Chapter 3: Understanding Data Structures in Pandas Chapter 4: Data Manipulation with Pandas Chapter 5: Data Cleaning and Preprocessing Chapter 6: Data Visualization with Pandas Chapter 7: Exploratory Data Analysis (EDA) Chapter 8: Grouping and Aggregating Data Chapter 9: Merging and Joining Data Chapter 10: Time Series Analysis with Pandas Chapter 11: Advanced Data Visualization Chapter 12: Case Study - Analyzing Real-World Data Chapter 13: Exporting Data with Pandas Chapter 14: Best Practices and Tips for Effective Data Analysis with Pandas