pydantic-core
Ammonite-Ops
pydantic-core | Ammonite-Ops | |
---|---|---|
18 | 15 | |
1,280 | 2,587 | |
2.0% | 0.3% | |
9.6 | 8.5 | |
3 days ago | 5 days ago | |
Python | Scala | |
MIT License | 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.
pydantic-core
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Is there a pydantic.BaseSettings equivalent in rust?
Funny that you ask... https://github.com/pydantic/pydantic-core Unfortunately it seems that the functionality you ask for is not (yet) part of this ...
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Investigating Pydantic v2's Bold Performance Claims
I encourage you to checkout the official benchmarks for more realistic and detailed examples, and, as always, YMMV.
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Pydantic V2 leverages Rust's Superpowers [video]
> to also be constrained by a separate set of data types which are legal in rust.
This isn't really how writing rust/python iterop works. You tend to have opaque handles you call python methods on. Here's a decent example I found skimming the code.
https://github.com/pydantic/pydantic-core/blob/main/src/inpu...
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Pydantic vs Protobuf vs Namedtuples vs Dataclasses
Thanks for pointing out to that, I did not know about it. Also attaching repo in case someone would be interested as well - https://github.com/pydantic/pydantic-core
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Introducing CodSpeed: Continuous Performance Measurement
pydantic-core: The core validation logic for pydantic, a Python data parsing and validation library.
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Show HN: Python framework is faster than Golang Fiber
pydandic-core [0] will hopefully solve this issue (written in Rust)
[0] -- https://github.com/pydantic/pydantic-core
- Scala or Rust? which one will rule in future?
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Rust for Data Engineering—what's the hype about? 🦀
LinkedIn influencers are weird lol. Rust v Python is apples and oranges. Rust would be glued together by python just like it does with C/C++ and Java/Spark today. We’re already seeing some packages go this direction, like pydantic v2 is rewriting its core validation in rust.
- Python file structure with Rust extensions
- Pydantic 2 rewritten in Rust was merged
Ammonite-Ops
- RFC: A Path Forward for Ammonite REPL and Scripts in 2023 and Beyond
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Does ammonite support indent based syntax?
The indent based syntax is only available in Scala 3, you have to download a matching ammonite version from https://github.com/com-lihaoyi/Ammonite/releases
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Scala Isn't Fun Anymore
That's funny, because this is what I really like about Scala; how quick and easy it is to get a project started.
> sbt new scala/scala3.g8
will just create an empty project. If you don't even want to bother with a project, use use scala-cli or ammonite (http://ammonite.io/) to just start banging out code.
Even the upgrading of a project from Scala2 to Scala3 is a breeze, thanks to very good backwards compatibility of new library releases.
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No build target could be found
Ammonite is a very good REPL for Scala. You can invoke it with amm and type expressions into it, or load a Scala “script file” whose name ends with .sc into it, or many other things. It’s documented at https://ammonite.io. 2. sbt is the dominant build tool for Scala projects. As others have commented, when you open a folder in Visual Studio Code and try to make Metals “aware of it,” it expects to find a “Scala project” in the folder. A “Scala project” isn’t just Scala source code. See https://www.scala-sbt.org for details. 3. Also be aware that Metals supports worksheets, so you can easily experiment with code in your project interactively, too.
- A Python-compatible statically typed language erg-lang/erg
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Scala 3 Reflection
Scripting API is quite limited, so the third option. - reuse the ammonite scripts https://github.com/com-lihaoyi/Ammonite or look how this is implemented (using internal compiler API),
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New to Scala
Your exposure to Functional Programming with Haskell and Clojure suggest you will certainly pick up Scala quickly. With ZIO and cats, you can write robust software quickly. Consider the excellent Coursera Scala course. Get "the Red Book" https://www.manning.com/books/functional-programming-in-scala, and most important, play. Experiment to see how things work. Get https://ammonite.io/
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Audacity Fork Without Any Sentry Telemetry or Crash Reporting
Here's an example of a smaller project that added telemetry without suffering a fork:
https://github.com/com-lihaoyi/Ammonite/issues/607
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Scripting with Java – Improving Approachability
Or ammonite - I've ran Gatling performance test from a simple script based on this gist it fetches all the dependencies, compiles and runs the test, producing nice html report..
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25 years of OCaml
Scala with the Typelevel ecosystem. Stay on the jVM, but have a much more pleasant and robust experience, including a great REPL.
What are some alternatives?
aiohttp-apispec - Build and document REST APIs with aiohttp and apispec
better-files - Simple, safe and intuitive Scala I/O
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
Shapeless - Generic programming for Scala
pymartini - A Cython port of Martini for fast RTIN terrain mesh generation
Scalaz - Principled Functional Programming in Scala
koda-validate - Typesafe, Composable Validation
calculator - Windows Calculator: A simple yet powerful calculator that ships with Windows
modin - Modin: Scale your Pandas workflows by changing a single line of code
cats - Lightweight, modular, and extensible library for functional programming.
typedload - Python library to load dynamically typed data into statically typed data structures
scala.meta - Library to read, analyze, transform and generate Scala programs