Jupyter Scala
pytype
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Jupyter Scala | pytype | |
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6 | 20 | |
1,562 | 4,520 | |
0.4% | 1.0% | |
9.2 | 9.7 | |
2 days ago | about 23 hours ago | |
Scala | Python | |
BSD 3-clause "New" or "Revised" 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.
Jupyter Scala
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💐 Making VSCode itself a Java REPL 🔁
Checkout almond
- A Python-compatible statically typed language erg-lang/erg
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EDA libraries for Scala and Spark?
What about https://github.com/alexarchambault/plotly-scala and https://almond.sh/
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Is there any editor or IDE that supports Ammonite with inline dependencies?
I use Almond in JupyterLab, which has pretty solid code completion. In IntelliJ, you can create a scratch sc file and run lines of it in the Scala REPL. That's really convenient for code completion and I normally will use that when I'm testing something from a specific project.
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Recommended option for "Java with different syntax"?
The UI part. There's only the scala REPL. I think the closest is a scala kernel for Jupyter notebooks, check this out: https://almond.sh/
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An SQL Solution for Jupyter
We have used https://almond.sh/ to create a Spark SQL interpreter using Jupyter Notebooks - plus a whole lot more which you can see here: https://arc.tripl.ai/tutorial
After seeing many companies writing ETL using code we decided it was too hard to manage at scale so provided this abstraction layer - which is heavily centered around expressing business logic in SQL - to standardise development (JupyterLab) and allow rapid deployments.
pytype
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Enhance Your Project Quality with These Top Python Libraries
Pytype checks and infers types for your Python code - without requiring type annotations. Pytype can catch type errors in your Python code before you even run it.
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A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
Pyre from Meta, pyright from Microsoft and PyType from Google provide additional assistance. They can 'infer' types based on code flow and existing types within the code.
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Mypy 1.6 Released
we've written a little bit about what pytype does differently here: https://google.github.io/pytype/
our main focus is to be able to work with unannotated and partially-annotated code, and treat it on par with fully annotated code.
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Writing Python like it's Rust
What is the smart money doing for type checking in Python? I've used mypy which seems to work well but is incredibly slow (3-4s to update linting after I change code). I've tried pylance type checking in VS Code, which seems to work well + fast but is less clear and comprehensive than mypy. I've also seen projects like pytype [1] and pyre [2] used by Google/Meta, but people say those tools don't really make sense to use unless you're an engineer for those companies.
Am just curious if mypy is really the best option right now?
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The Python Paradox
Check out https://github.com/google/pytype
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Forma: An efficient vector-graphics renderer
i work on https://github.com/google/pytype which is largely developed internally and then pushed to github every few days. the github commits are associated with the team's personal github accounts. pytype is not an "official google product" insofar as the open source version is presented as is without official google support, but it is "production code" in the sense that it is very much used extensively within google.
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Ruff – an fast Python Linter written in Rust
pytype dev here - thanks for the kind words :) whole-program analysis on unannotated or partially-annotated code is our particular focus, but there's surprisingly little dark PLT magic involved; in particular you don't need to be an academic type theory wizard to understand how it works. our developer docs[1] have more info, but at a high level we have an interpreter that virtually executes python bytecode, tracking types where the cpython interpreter would have tracked values.
it's worth exploring some of the other type checkers as well, since they make different tradeoffs - in particular, microsoft's pyright[2] (written in typescript!) can run incrementally within vscode, and tends to add new and experimentally proposed typing PEPs faster than we do.
[1] https://github.com/google/pytype/blob/main/docs/developers/i...
- A Python-compatible statically typed language erg-lang/erg
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mypy alternatives - pytype and pyright
3 projects | 30 Oct 2021
another library to check typing in python code (by google)
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Type Checkers: which one you use and why?
The main ones I can think about are: * mypy * pytype * pyright
What are some alternatives?
mypy - Optional static typing for Python
pyright - Static Type Checker for Python
pyre-check - Performant type-checking for python.
sparkmagic - Jupyter magics and kernels for working with remote Spark clusters
pyannotate - Auto-generate PEP-484 annotations
Metals - Scala language server with rich IDE features 🚀
Apache Flink - Apache Flink
Vegas - The missing MatPlotLib for Scala + Spark
pyanalyze - A Python type checker
ruff - An extremely fast Python linter and code formatter, written in Rust.
Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.
Scio - A Scala API for Apache Beam and Google Cloud Dataflow.