moult | A utility for finding Python packages that may not be | Build Tool library
kandi X-RAY | moult Summary
kandi X-RAY | moult Summary
Moult is a utility that can assist you in finding packages that may not be in use any more. It was created to help me clean up a project's requirements.txt file after a major overhaul. It's far from perfect, but it's a lot faster than figuring out what's actually needed in a pip freeze print out.
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Top functions reviewed by kandi - BETA
- Load Django settings
- Recursively scan Django settings
- Return the import path from a file
- Print an error message
- Load the standard library
- Main entry point
- Lists installed packages
- Create an argument parser
- Load stdlib
- Set the log level
- Parse an Import node
- Recursively iterate a value
- Resolve import path
- Add new import
- Visitor for ImportFrom node
- Check if sys is a venv
- Handle import statements
moult Key Features
moult Examples and Code Snippets
usage: moult [-h] [-V] [-s pkg [pkg ...]] [-l] [-a] [-f] [-r] [-v] [-p] [-d]
[--no-color | --no-colour]
[scan [scan ...]]
A utility for finding Python packages that may not be in use.
positional arguments:
scan
Community Discussions
Trending Discussions on moult
QUESTION
I typically open a Google Translate page and start filling it up with words. GT has a left text box for the foreign word and a right text box for the translation
...ANSWER
Answered 2018-Mar-12 at 11:19You can export the original-translated text pair to Google Sheets (and from there to CSV) by doing the following:
- Once translated, click on the star below the translation to save it.
- Click the circled star at the top of the page to show your saved translations.
- Click on the Export to Google Sheets icon on the top right.
Note that you'll need to be signed in with your Google account to be able to save your translations.
Also, for proper export you should save your words/sentences one at a time so you have one row per translation.
QUESTION
ANSWER
Answered 2018-Mar-25 at 11:17If you are able to use ggplot2, you could add (or compute from time) another factor variable to your data-frame which would be your season. Then it is just a matter of using color (or any other) aesthetic which would use this season variable.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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