xlsx_copycull
photo-processing
| xlsx_copycull | photo-processing | |
|---|---|---|
| 2 | 2 | |
| 5 | 3 | |
| - | - | |
| 10.0 | 3.6 | |
| over 1 year ago | 21 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 only |
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xlsx_copycull
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What have you automated using Python?
And I also posted about another module I wrote for generating copies of spreadsheets and culling each down to whatever subset of rows I need. This also weirdly finds a lot of uses in a world of clients and coworkers who use spreadsheets for way too many things.
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My clients like sending me spreadsheet "databases", so I wrote a module to quickly cull them down to workable sizes.
Introducing xlsx_copycull, a tool to copy a 'master' spreadsheet and delete any unnecessary rows, and optionally add in Excel formulas. It's a hideous cousin of SELECT * FROM table WHERE condition.
photo-processing
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What have you automated using Python?
Preprocessing my photos after I pull them off of my digital cameras and phone.
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I want to digitally archive 120 years of family photos. Any tips?
FWIW, this is the Python script I've written to automate the HDR-from-raw processing from these files. It definitely needs its logic tweaked -- the most obvious current problem is that it produces positives that are too light, or negatives that are too dark, so it's wasting a bunch of the dynamic range in the output file and requires more manual postprocessing than should strictly speaking be necessary -- but it basically does a good job of making the first steps less of a pain.
What are some alternatives?
mpxl2csv
elodie - An EXIF-based photo assistant, organizer and workflow automation tool.
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