Browser default 16px
pixels | relative |
---|---|
36px | 2.25em |
31px | 0.5161em |
24px | 1.5em |
21px | 1.3125em |
Often you are handed-out big CSV files and need to sort, filter, update some cells or other tedious work.
You tried sed
, jq
, and maybe the mighty awk
.
But at the end of the day: You’re using the wrong tool for the job.
Here come csvkit’s csvsql, a small Python script to parse your CSV files and create the corresponding database. You now have the best tool, SQL, to answer your data questions:
Contributed by Fabien Loudet, Linux SysAdmin at Rosetta Stone
The format to use for each line in the file:
hostname:port:database:username:password
Only the owner of the file should have read and write access to it:
I recently interviewed 4 developers for a Python programming position
They all knew how to use requests
, call APIs and worked either with Django or Flask, but I saw all of them ignoring most of Python’s specific control flow.
Here are two of them, try/except/else/finally
and for/else
:
try:
# What you want to do, which might