BW office hours: January 14th
Join me for this month's discussion of Pandas! No question is too big or small.
1 min read
Reuven M. Lerner
Full-time Python & pandas trainer since 1995 and author of Pandas Workout (Manning). I publish Bamboo Weekly — a weekly pandas practice & exercises newsletter built on real-world data.
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Bamboo Weekly #48: Aviation accidents (solutions)
Get better at: JSON, multiple files, comprehensions, applying functions, string operations, grouping, stack-unstack, and plotting
13 min read
Bamboo Weekly #48: Aviation accidents
Get better at: JSON, multiple files, comprehensions, applying functions, string operations, grouping, stack-unstack, and plotting
3 min read
Bamboo Weekly #47: Minimum wage (solutions)
Get better at: CSV, APIs, multiple files, using "apply", window functions, and plotting.
15 min read
Bamboo Weekly #47: Minimum wage
Get better at: CSV, APIs, multiple files, using "apply", window functions, and plotting.
2 min read
Bamboo Weekly #46: Pedestrians (solutions)
Get better at: APIs, grouping, multiple files, stack and unstack, window functions, plotting, and regular expressions.
17 min read
Bamboo Weekly #46: Pedestrians
Get better at: APIs, grouping, multiple files, stack and unstack, window functions, plotting, and regular expressions.
4 min read
Bamboo Weekly #45: Netflix (solutions)
Get better at: Excel, dates and times, missing data, grouping, formatting, using "apply", plotting, and regular expressions
17 min read
Bamboo Weekly #45: Netflix
Get better at: Excel, dates and times, missing data, grouping, formatting, using "apply", plotting, and regular expressions
3 min read
BW 44: Global economics (solution)
Get better at: CSV, multiple files, plotting with Seaborn, string operations, pivot tables, window functions, and joins.
16 min read
Bamboo Weekly #44: Global economics
Get better at: APIs, grouping, multiple files, stack and unstack, window functions, plotting, and regular expressions.
3 min read
BW office hours, December 10
Here’s the video from the office hours I held on December 10th. Thanks so much to everyone who came and asked questions! The Jupyter notebook I used is at