PurefunctionPipelineDataflow
Lark
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PurefunctionPipelineDataflow | Lark | |
---|---|---|
172 | 35 | |
439 | 4,481 | |
- | 2.9% | |
7.4 | 7.5 | |
8 days ago | 13 days ago | |
Python | ||
- | MIT License |
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.
PurefunctionPipelineDataflow
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Goodbye, Clean Code
Implement relational data model and programming based on hash-map (NoSQL)
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How can I learn functional programming?
The Math-based Grand Unified Programming Theory: The Pure Function Pipeline Data Flow with Principle-based Warehouse/Workshop Model
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Does Intel have an answer (or developing one) for AMDs Infinity Fabric?
I criticized "AMD Infinity Fabric Architecture" at the end of my article "Prediction: Intel will use "RISC-V plus x86 compatibility layer" or "RISC-V plus x86 heterogeneous computing architecture" to develop a new generation of "warehouse/workshop model" CPU".
- The Math-based Grand Unified Programming Theory: The Pure Function Pipeline Data Flow with principle-based Warehouse/Workshop Model
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What should I do to defend my rights if the architecture of the Apple M1 chip is plagiarized from my theory and architecture?
What's more, you're being somewhat liberal with your "invention" dates here anyway. I'm sure you realize that anyone can review the commit history to see when content was added to the repo. As of Nov 2020, the day Apple announced a fully operational and tested, ready-to-ship silicon package the repo was a just series of bullet points listing out well-known concepts of functional programming sprinkled with some religious analogies and inspirational quotes. The farther you go back in the repo commit history, the less content is there.
- Apple M1 Ultra's architecture is a mistake, and Why Apple is not the creator of the M1 architecture? (with comment from chip designer who have worked at Apple for decades)
- M1 Ultra's architecture is a mistake, and Why Apple is not the creator of the M1 architecture? (with comment from chip designers who have worked at Apple for decades)
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.
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can you create your own program language in python, if yes how?
Lark is a good library to assist with this.
- Lark a Python lexer/parser library
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Create your own scripting language in Python with Sly
If I may ask, did you consider Lark, and if so, why wasn't it fit for your purposes?
- 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.
What are some alternatives?
concurrencpp - Modern concurrency for C++. Tasks, executors, timers and C++20 coroutines to rule them all
pyparsing - Python library for creating PEG parsers [Moved to: https://github.com/pyparsing/pyparsing]
gophernotes - The Go kernel for Jupyter notebooks and nteract.
PLY - Python Lex-Yacc
verona - Research programming language for concurrent ownership
pydantic - Data validation using Python type hints
refterm - Reference monospace terminal renderer
sqlparse - A non-validating SQL parser module for Python
BetterDummy - Unlock your displays on your Mac! Smooth scaling, HiDPI unlock, XDR/HDR extra brightness upscale, DDC, brightness and dimming, dummy displays, PIP and lots more! [Moved to: https://github.com/waydabber/BetterDisplay]
Atoma - Atom, RSS and JSON feed parser for Python 3
clojurust - A proof of concept version of Clojure in Rust.
Construct - Construct: Declarative data structures for python that allow symmetric parsing and building