Weekly practice exercise posted every Monday.
The Pandas package for Python provides a powerful library of data import, cleaning and analysis functions. It allows you to quickly and easily perform a wide range of analytical, statistical, time-series and aggregation tasks, and also integrates seamlessly with other popular Python libraries like NumPy, SciPy, and Matplotlib. For Power BI users, it adds analytical capabilities not easily accomplished via DAX or M code.
Kedeisha Bryan is a Senior Data Engineer, an experienced Data Analyst, an Enterprise DNA Expert, and the Founder of the Data in Motion community. As a leading voice in the data community, we are extremely excited to partner with her on these workouts, and warmly welcome the Data in Motion members to this community as well.
These workouts will be posted weekly before midnight UTC every Monday. Kedeisha will post her solutions for each workout every Sunday.
How to submit your solution
When you have completed the workout, just post your code and a screenshot of your results. Please blur or hide the details of your code using the forum features.
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