Data Processing and Transformation

• 1. Creating Series and Data Frames
• 2. Selecting and Manipulating Data Frames
• 3. Creating Columns as Functions of Existing Columns
• 4. Handling Duplicated and Missing Values
• 5. Reshaping Data with Pandas
• 6. Reading Data from Excel
• 7. Handling Large Datasets Efficiently
• 8. Loading the Plotly Express Data Sets
• 9. Exploring the Gapminder Data set
• 10. Exploring the Iris Data Set
• 11. Fetching Data from APIs
• 12. Fetching Financial Data from the Web