PySnooper
yamlpath
| PySnooper | yamlpath | |
|---|---|---|
| 13 | 9 | |
| 16,265 | 109 | |
| - | - | |
| 5.5 | 4.8 | |
| 3 months ago | 3 months ago | |
| Python | Python | |
| MIT License | ISC License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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PySnooper
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Logging code mess
Definitely not for production, but for debugging (esp. in cases where interactive debugging doesn't work) I've found PySnooper very useful
- What Python debugger do you use?
- What a good debugger can do
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Trace your Python process line by line with minimal overhead!
Looks interesting I will definitely try this.
For those that find this interesting, you might also like pysnooper - I use it all the time.
https://github.com/cool-RR/PySnooper
https://python.plainenglish.io/pysnooper-stop-debugging-pyth...
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What is your favorite ,most underrated 3rd party python module that made your programming 10 times more easier and less code ? so we can also try that out :-) .as a beginner , mine is pyinputplus
Found PySnooper the other day.
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What was the most helpful resource that allowed you become a better coder?
pysnooper! https://github.com/cool-RR/PySnooper
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“I think the vast majority of developers still debug using print() statements”
Shameless plug: PySnooper is a debugging tool for Python that lets you debug in a way that's as easy as adding print statements, but gives you a lot more information automatically.
https://github.com/cool-RR/PySnooper/
HN thread: https://news.ycombinator.com/item?id=19717786
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Top python libraries/ frameworks that you suggest every one
snoop or pysnooper
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No more Print For Debugging In Python Anymore
If you want to install a library, pysnooper is cool. It's like an automatic print on every line of your function, with values.
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The unreasonable effectiveness of print debugging
The Python package PySnooper is pretty good for "fancy" print debug statements: https://github.com/cool-RR/pysnooper
I've caught quite a few bugs using this show-me-all-locals() approach...
yamlpath
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jq 1.7 Released
A couple more alternatives:
https://github.com/kellyjonbrazil/jello
https://github.com/wwkimball/yamlpath
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The yaml document from hell
I used the official reference implementation to make a CLI converter between NestedText and TOML, JSON, and YAML. When generating one of these formats, you can use yamlpath queries to concisely but explicitly apply supported types to data elements.
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The YAML Document from Hell
I'm a huge fan of NestedText, especially as there is no escaping needed ever.
If you ever want to use it as a pre-format to generate either TOML, JSON, or YAML, I used the official reference implementation to make a CLI converter between them and NestedText.
When generating one of these formats, you can use yamlpath queries to concisely but explicitly apply supported types to data elements.
- My CLI converter: https://github.com/AndydeCleyre/nestedtextto
- yamlpath info: https://github.com/wwkimball/yamlpath/wiki/Search-Expression...
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Replace Specific Lines in a JSON file
Not what you're asking, but if you wanted to do this with yamlpath:
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jq help: is it possible to replace a key-value in one json file using the data from another json file?
You may want to take a look at yamlpath for this. If I remember when I'm at a computer I'll try to post more.
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An introduction to the magic of jq - Understanding the basics of jq with a realistic example
I'm no expert in any of these tools, but here are some yamlpath and jello examples to match:
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Top python libraries/ frameworks that you suggest every one
yamlpath
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jq error out when parse multiple lines without \n
FWIW, yamlpath (tested with 3.6.4) seems to strip and forgive those characters:
- List of JSON tools for command line
What are some alternatives?
snoop - Snoop — инструмент разведки на основе открытых данных (OSINT world)
jiq - jid on jq - interactive JSON query tool using jq expressions
icecream - 🍦 Never use print() to debug again.
jinsi - JSON/YAML homoiconic templating language
snoop - A powerful set of Python debugging tools, based on PySnooper
taskipy - the complementary task runner for python
django-modelcluster - Django extension to allow working with 'clusters' of models as a single unit, independently of the database
pxi - 🧚 pxi (pixie) is a small, fast, and magical command-line data processor similar to jq, mlr, and awk.
python-devtools - Dev tools for python
nvim-jqx - Populate the quickfix with json entries
pdbpp - pdb++, a drop-in replacement for pdb (the Python debugger)
Textrude - Code generation from YAML/JSON/CSV models via SCRIBAN templates