Bamboo Weekly #52: Border encounters (solutions)
Get better at: CSV, dates and times, plotting, grouping, multi-indexes, and stack-unstack.
14 min read
grouping
Using Pandas groupby to split data into groups, apply aggregate functions, and combine results for powerful data summarization.
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Bamboo Weekly #52: Border encounters
Get better at: CSV, dates and times, plotting, grouping, multi-indexes, and stack-unstack.
3 min read
Bamboo Weekly #51: Academy Awards (solutions)
Get better at: CSV, PyArrow, missing values, cleaning, grouping, memory optimization, and plotting
14 min read
Bamboo Weekly #51: Academy Awards
Get better at: CSV, PyArrow, missing values, cleaning, grouping, memory optimization, and plotting
3 min read
Bamboo Weekly #49: Campaign finance (solutions)
Get better at: Scraping, CSV, formatting, grouping, plotting, correlations
18 min read
Bamboo Weekly #49: Campaign finance
Get better at: Scraping, CSV, formatting, grouping, plotting, correlations
3 min read
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 #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