pyparsing
click
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pyparsing | click | |
---|---|---|
13 | 32 | |
2,091 | 15,026 | |
2.0% | 1.3% | |
8.3 | 8.0 | |
29 days ago | 4 days ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pyparsing
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Pyparsing 3.1.0 released
After over a year since the last release of pyparsing, I've bundled up all the bug-fixes and changes, and they are now released as pyparsing 3.1.0. Visit this link for the details.
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Need help developing an interpreter
Look into "parser combinators" for building an interpreter. There's a few ones out there, but PyParsing is one I've seen around that looks pretty nifty.
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About a month ago I posted about PRegEx, an open-source project which I had started that you can use to build RegEx patterns programmatically, which the subreddit seem to like. This prompted me to keep working on it, and one month later, PRegEx v2.0.0 is out!
I havent found a way to specify an exact character match in pyparsing - https://github.com/pyparsing/pyparsing/discussions/443
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Python toolkits
STDOUT: Lark or pyparsing
- TatSu takes grammars in variation of EBNF, outputs memoizing Python PEG parsers
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Parser Combinators in Haskell
Since it is not mentioned in the article: Python users may also want to check out pyparsing [0]. It is slightly different from Parsec/FParsec (for instance, it ignores all whitespace by default), but I think it is a really good project.
[0]: https://github.com/pyparsing/pyparsing/
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Pyparsing 3.0.x - off to a rocky start, but I think 3.0.6 looks fairly solid
Here is the page of all the new changes and features in pyparsing 3.0.
- luna is a Domain specific language that translates to regex. It's an attempt to make regex more readable.
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Recommended way to read and parse a couple thousand small files
Your pyparsing parser might benefit from a tune-up. This page has some performance tips: https://github.com/pyparsing/pyparsing/wiki/Performance-Tips.
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Script for extracting info from a SQL File
If your SQL has fairly complex structure, you will need a full blown SQL parser. If your statements are mostly simple select, you can get pretty close with Pyparsing, here is an example.
click
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click-web: Serve click scripts over the web (Python)
Context: "click" - "Command Line Interface Creation Kit" - easily create CLIs from Python code, via adding decorators: https://github.com/pallets/click
"click-web" in turn turns the click CLI app into a web app with one line of code.
- Anyone want to start a project with me.
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How does "python3 *file* -*letter* work?
there is also click, it is more straight forward and also nice to keep the relevant code where the code is. https://github.com/pallets/click/
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Overhead of Python Asyncio Tasks
I don't have huge experience with Python, but I used async code with C#/Typescript and lately I had to use some asyncio magic.
I found this article: https://blog.dalibo.com/2022/09/12/monitoring-python-subproc... and while async/await syntax is the same, it's not entirely clear for me, why there's some event loop and what exactly happens, when I pass function to asyncio.run(), like here: https://github.com/pallets/click/issues/85#issuecomment-5034...
So, you can use it and it's not that hard, but there are some parts that are vague for me, no matter which language implements async support.
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I am sick of writing argparse boilerplate code, so I made "duckargs" to do it for me
Hmm… did you try such approaches, as [click](https://github.com/pallets/click) or[tap](https://github.com/swansonk14/typed-argument-parser)?
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lord-of-the-clips (lotc): CLI app to download, trim/clip, and merge videos. Supports lots of sites. Downloads/trims at multiple points. Merges multiple clips.
This app leverages these powerful libraries: - yt-dlp: video downloader - moviepy: video trimmer/merger - click: CLI app creator - rich / rich-click: CLI app styler
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Shells Are Two Things
I've used click [1] a lot to build Python tooling scripts the past few years. Click usage is "sort of" similar to the author's proposed solution. There's also a small section here [2] that describes some of the issues covered in the article (in context of argparse).
[1] - https://github.com/pallets/click
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Tomu – A family of devices which fit inside your USB port
I think the success of Arduino in the hardware world can be explained in a similar way, as the relative success of "command line app frameworks" like Click[1], or even much lighter-weight libraries like argparse[2]. You absolutely can get away with using just getopt[3] (and people experienced with it will likely strongly prefer it). However certain factors such as a more declarative API, a nice logo, the existence of an ecosystem (even if you're not actively drawing from it), an official "branded" forum, etc can all play into picking a more complex solution, with more baggage you don't need, certain oddities that may throw users off, etc.
[1]: https://click.palletsprojects.com/
[2]: https://docs.python.org/3/library/argparse.html
[3]: https://man.openbsd.org/getopt.3, https://linux.die.net/man/3/getopt
- something like python's click library?
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Advice for a final project in python without web?
Exactly! You can also use a library like click (https://github.com/pallets/click) to help take care of the command line side, while you focus on the 'business logic' of your application :)
What are some alternatives?
parsita - The easiest way to parse text in Python
typer - Typer, build great CLIs. Easy to code. Based on Python type hints.
parser - String parser combinators
Python Fire - Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
iregex - A way to write regex with objects instead of strings.
python-prompt-toolkit - Library for building powerful interactive command line applications in Python
attoparsec - A fast Haskell library for parsing ByteStrings
cement - Application Framework for Python
sly - Sly Lex Yacc
cliff - Command Line Interface Formulation Framework. Mirror of code maintained at opendev.org.
Lark - Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
docopt - This project is no longer maintained. Please see https://github.com/jazzband/docopt-ng