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