Lark
awesome-python
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Lark | awesome-python | |
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35 | 85 | |
4,424 | 201,923 | |
2.7% | - | |
7.7 | 7.1 | |
14 days ago | 6 days ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Lark
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Show HN: I wrote a RDBMS (SQLite clone) from scratch in pure Python
Lark supports, and recommends, writing and storing the grammar in a .lark file. We have syntax highlighting support in all major IDEs, and even in github itself. For example, here is Lark's built-in grammar for Python: https://github.com/lark-parser/lark/blob/master/lark/grammar...
You can also test grammars "live" in our online IDE: https://www.lark-parser.org/ide/
The rationale is that it's more terse and has less visual clutter than a DSL over Python, which makes it easier to read and write.
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Oops, I wrote yet another SQLAlchemy alternative (looking for contributors!)
First, let me introduce myself. My name is Erez. You may know some of the Python libraries I wrote in the past: Lark, Preql and Data-diff.
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Hey guys, have any of you tried creating your own language using Python? I'm interested in giving it a shot and was wondering if anyone has any tips or resources to recommend. Thanks in advance!
It's not super maintained but you might enjoy building something with ppci, Pure Python Compiler Infrastructure. It has some front-ends and some back-ends. There's also PeachPy for an assembler. People like using Lark for parsing, I hear.
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Is it possible to propagate higher level constructs (+, *) to the generated parse tree in an LR-style parser?
lark, a parsing library where I am somewhat involved has a really nice solution to this: Rules starting with _ are inlined in a post processing step.
- Creating a language with Python.
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Not Your Grandfather’s Perl
A grammar provides the high level constructs you need to define the "shape" of your data, and it largely takes care of the rest. Grammar libraries exist in other language (eg. lark or Parsimonius in Python) and they weren't created just to make XML parsing easier.
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Earley Parsing Explained
I made a solid attempt at an Earley parser framework of my own, but apparently to get the most reliable performance from Earley parsing you need to implement Joop Leo's improvement for right-recursive grammars, which nobody has been able to adequately explain to me. I've read Kegler's open letter to Vaillant, I've tried to read other implementations, I've even tried to beat my head against the original academic paper, but I don't have the background knowledge to make sense of it all.
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Parser and Lexer bike-shedding
Have you looked at Lark recently?
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Python toolkits
STDOUT: Lark or pyparsing
- How can I construct an abstract syntax tree without AST module?
awesome-python
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How I do technology watch
Python: https://github.com/vinta/awesome-python
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Top 10 GitHub Repositories Every Developer Should Bookmark in 2024
6) Awesome Python: Embrace the power of Python with this extensive collection of awesome libraries, frameworks, resources, and software. Whether you're a seasoned Pythonista or just starting your journey, this repository is your ultimate guide to maximizing the potential of this versatile language. (https://github.com/vinta/awesome-python)
- Good coding groups for black women?
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Top GitHub Resources to Level Up Your Python game
🎇 Repository Link: Awesome Python
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10 Github repositories to achieve Python mastery
Explore here.
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Which MATLAB course to take for undecided
There are a lot of python packages for engineering and scientific applications (as well as other applications in general, and, thanks to the inherently collaborative nature of free software, they are only growing in quantity and quality. Many MATLAB toolboxes already have Python equivalents.
- Security focused python training?
- Easy markdown sites
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How do you find python modules and packages as per your project requirement?
Sometimes the curated lists like awesome-python have exactly what I'm looking for.
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What are the most underrated python libraries?
There’s a repo full of awesome packages and whatnot
What are some alternatives?
pyparsing - Python library for creating PEG parsers [Moved to: https://github.com/pyparsing/pyparsing]
PLY - Python Lex-Yacc
pydantic - Data validation using Python type hints
sqlparse - A non-validating SQL parser module for Python
Qtile-Config - This is my configuration of Qtile, a window manager written in python.
Atoma - Atom, RSS and JSON feed parser for Python 3
VeRyPy - A python library with implementations of 15 classical heuristics for the capacitated vehicle routing problem.
Construct - Construct: Declarative data structures for python that allow symmetric parsing and building
汉字拼音转换工具(Python 版) - 汉字转拼音(pypinyin)
Pygments
textX - Domain-Specific Languages and parsers in Python made easy http://textx.github.io/textX/
Python Left-Right Parser - Python Parser