BW #119: Python conferences
Get better at: CSV files, working with dates and times, grouping, plotting, and handling multiple files.
Using Pandas groupby to split data into groups, apply aggregate functions, and combine results for powerful data summarization.
Get better at: CSV files, working with dates and times, grouping, plotting, and handling multiple files.
Get better at: CSV files, working with dates and times, pivot tables, and plotting
Get better at: CSV files, working with dates and times, pivot tables, and plotting
Get better at: CSV files, working with dates and times, pivot tables, grouping, and plotting
Get better at: Excel files, multiple files, pivot tables, grouping, dates and times, and plotting
Get better at: Excel files, multiple files, pivot tables, grouping, dates and times, and plotting
Get better at: Excel files, regular expressions, optimizing speed, PyArrow, grouping, joining, and plotting.
Get better at: Excel files, regular expressions, optimizing speed, PyArrow, grouping, joining, and plotting.
Get better at: String manipulation, working with dates, plotting, grouping, and pivot tables
Get better at: String manipulation, working with dates, plotting, grouping, and pivot tables
Get better at: String manipulation, working with multiple files, joins, grouping, and plotting
Get better at: String manipulation, working with multiple files, joins, grouping, and plotting