Most analytical and BI databases have date dimension table(s). One frequently needs to generate and populate such data. I present a solution below for such data generation, written in Python. Please use different database drivers/modules to connect to your specific database server (MySQL, SQL Server, Oracle, etc.) for data population.
1. It takes 2 parameters, start date and end date, in YYYYMMDD format, inclusive. Extensive error checking is built in, but let me know if you have comments/suggestions;
2. The script produce a Python dictionary (associated array) and print out its content;
3. The output includes dayNumber: a day’s position in a year. For example, 2011-02-01 is the 32ed day in 2011, therefore its dayNumber is 32;
4. The output includes weekNumber: a week’s position in a year. The week number in year is based on ISO standard. From documentation: the ISO year consists of 52 or 53 …[Read more]