Bamboo Weekly #173: IPOs (solution)
Get better at: multiple files, pivot tables, plotting, filtering, and working with dates and times.
Using Pandas groupby to split data into groups, apply aggregate functions, and combine results for powerful data summarization.
Get better at: multiple files, pivot tables, plotting, filtering, and working with dates and times.
Get better at: multiple files, pivot tables, plotting, filtering, and working with dates and times.
Get better at: CSV files, pivot tables, grouping, plotting, filtering, and working with dates and times.
Get better at: web scraping, handling multiple files, multi-indexes, cleaning data, grouping, and plotting with Plotly.
Get better at: joins, dates and times, grouping, APIs, and plotting with Plotly.
Get better at: joins, dates and times, grouping, APIs, and plotting with Plotly.
Get better at: Agentic coding, CSV files, plotting with Plotly, grouping, and pivot tables.
Get better at: Agentic coding, CSV files, plotting with Plotly, grouping, and pivot tables.
Get better at: Scraping, regular expressions, grouping, plotting with Plotly, and handling dates and times.
Get better at: Scraping, regular expressions, grouping, plotting with Plotly, and handling dates and times.
Get better at: Scraping, regular expressions, grouping, plotting with Plotly, and handling dates and times.
Get better at: Scraping, regular expressions, grouping, plotting with Plotly, and handling dates and times.