BW #132: JetBrains survey (solutions)
Get better at: CSV files, PyArrow, reducing memory usage, working with dates and times, pivot tables, and plotting.
Controlling how Pandas displays data, including number formatting, column widths, decimal places, and string representation of data frames.
Get better at: CSV files, PyArrow, reducing memory usage, working with dates and times, pivot tables, and plotting.
Get better at: CSV files, PyArrow, reducing memory usage, working with dates and times, pivot tables, and plotting.
Get better at: CSV files, grouping, strings, formatting, dates and times, and plotting
Get better at: CSV files, grouping, strings, formatting, dates and times, and plotting
Get better with: CSV, pivot tables, window functions, the "pipe" method, stack and unstack, grouping, and formatting.
Get better with: CSV, pivot tables, window functions, the "pipe" method, stack and unstack, grouping, and formatting.
Get better at: Excel, formatting, plotting, window-functions, using "apply", string functionality, grouping, and interpolation
Get better at: Excel, formatting, plotting, window-functions, using "apply", string functionality, grouping, and interpolation
Get better at: Scraping, CSV, formatting, grouping, plotting, correlations
Get better at: Scraping, CSV, formatting, grouping, plotting, correlations
Get better at: Excel, dates and times, missing data, grouping, formatting, using "apply", plotting, and regular expressions
Get better at: Excel, dates and times, missing data, grouping, formatting, using "apply", plotting, and regular expressions