Splitting Data Frames by Slope: A Step-by-Step Guide with Python and Pandas

Data Accumulation with Pandas: Efficiently Combining Multiple Datasets for Analysis or Reporting Purposes

Creating an Excel Writer with Separate Sheets for Each Row in a Pandas DataFrame

Normalizing a Dictionary Hidden in a List to Create a DataFrame with Python and Pandas

Working with Missing Values in Pandas: Setting Column Values to Incremental Numbers

Efficiently Mapping IP Addresses to Country Codes with Pandas: A Performance Comparison of Iterrows and Map Functions

Resolving Duplicate Values in Column After Dataframe Concatenation Using Pandas.

Working with Multi-Level Columns in Pandas DataFrames: A Practical Guide to Manual Reindexing

I can help you create a final project to demonstrate your skills learned throughout the course. Here's an example of a comprehensive final project that incorporates concepts from multiple lessons:

Merging Multiple Time Series with Time Series Depletion: A Comprehensive Guide to Handling Sampling Frequencies and Missing Values in Python.