Pandas office hours — Thursday, September 10th
Join me for office hours, where you can ask any questions you have about Pandas!
Each week, get hands-on data analysis exercises
that sharpen your skills using real datasets —
plus detailed solutions the next day to help you master concepts fast.
• Practice with pivot tables, multi-indexes, and PyArrow
• Get unstuck fast with Thursday walkthroughs + Jupyter notebooks
• Build real skills — not toy examples
Written by Reuven M. Lerner • A LernerPython product
Join me for office hours, where you can ask any questions you have about Pandas!
Get better at: Working with Excel files, cleaning data, correlations, and plotting with Plotly.
Get better at: Working with multiple CSV files, dates and times, joins, grouping, and plotting.
Get better at: Working with multiple CSV files, dates and times, joins, grouping, and plotting.
Get better at: Working with multiple CSV files, joins, and plotting with Plotly.
Get better at: Working with multiple CSV files, and plotting with Plotly.
A reader's solution to BW 184 using Polars.
Join me for office hours, where you can ask any questions you have about Pandas!
Get better at: Working with CSV and Excel, plotting with Plotly, cleaning, joining, and working with dates and times.
Get better at: Working with CSV and Excel, plotting with Plotly, cleaning, joining, and working with dates and times.
Get better at: Working with multiple CSV files, dates and times, pivot tables, cleaning, and plotting with Plotly.
Get better at: Working with multiple CSV files, dates and times, pivot tables, cleaning, and plotting with Plotly.