bug
Poetry
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bug
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Ruby's private keyword is weird
Thank you for sharing!
It looks like the Scala project found allowing protected[this] fields as an escape hatch for variance to be unsound:
https://github.com/scala/bug/issues/7093
Going to have to chew on that and what it means for the same feature in Sorbet…
Thanks again for bringing this up!
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how to setup scala
I have a new windows 10 and downloaded the Coursier installer from scala-lang.org, the https://docs.scala-lang.org/getting-started/index.html says that you should have either java8 or java11 installed but most tutorials online and posts says to install latest version of java, which java jdk version should I install or does Coursier install it for me or do I choose the latest jdk (java-jdk-19)?
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Languages That Don't Dogfood 🤔
Scala
- Immutable Map in a var, or mutable Map in a val?
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Scala isn't fun anymore
All of those dependencies are Java dependencies, not Scala libraries, except for one, and it's a known problem that is to some extent solved already and should be fully solved very soon. https://github.com/scala/bug/issues/12632
- Security static analysis tooling for Scala?
- Map Performance: Java vs Scala
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The “Either” Issue
I had met the core developers, we had discussing a lot about which technology would better address our demand and, after many considerations, we had chosen Scala.
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Next programming language?
i like scala. it combines object-oriented and functional programming into one high-level language, which makes it fun to learn. i don't know if it is popular in the robotics industry, but it runs on the jvm and can be combined with java, so there is that. i recommend the book "programming scala".
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Scala REPL error when scala3 & scala 2 implemented with coursier installed with homebrew
See https://github.com/scala/bug/issues/12491 for info and workarounds. A fix will land in Scala 2.13.8.
Poetry
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Understanding Dependencies in Programming
You can manage dependencies in Python with the package manager pip, which comes pre-installed with Python. Pip allows you to install and uninstall Python packages, and it uses a requirements.txt file to keep track of which packages your project depends on. However, pip does not have robust dependency resolution features or isolate dependencies for different projects; this is where tools like pipenv and poetry come in. These tools create a virtual environment for each project, separating the project's dependencies from the system-wide Python environment and other projects.
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Implementing semantic image search with Amazon Titan and Supabase Vector
Poetry provides packaging and dependency management for Python. If you haven't already, install poetry via pip:
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From Kotlin Scripting to Python
Poetry
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How to Enhance Content with Semantify
The Semantify repository provides an example Astro.js project. Ensure you have poetry installed, then build the project from the root of the repository:
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Uv: Python Packaging in Rust
Has anyone else been paying attention to how hilariously hard it is to package PyTorch in poetry?
https://github.com/python-poetry/poetry/issues/6409
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Boring Python: dependency management (2022)
Based on this comment 5 days ago[0], it's working? I'm not sure didn't dig in too far but based on that comment it seems fair to say that it's not fully Poetry's fault because torch removed hashes (which poetry needs to be effective) for a while only recently adding it back in.
Not sure where I would stand if I fully investigated it tho.
[0] https://github.com/python-poetry/poetry/issues/6409#issuecom...
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Fun with Avatars: Crafting the core engine | Part. 1
We will be running this project in Python 3.10 on Mac/Linux, and we will use Poetry to manage our dependencies. Later, we will bundle our app into a container using docker for deployment.
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Python Packaging, One Year Later: A Look Back at 2023 in Python Packaging
Here are the two main packaging issues I run into, specifically when using Poetry:
1) Lack of support for building extension modules (as mentioned by the article). There is a workaround using an undocumented feature [0], which I've tried, but ultimately decided it was not the right approach. I still use Poetry, but build the extension as a separate step in CI, rather than kludging it into Poetry.
2) Lack of support for offline installs [1], e.g. being able to download the dependencies, copy them to another machine, and perform the install from the downloaded dependencies (similar to using "pip --no-index --find-links=."). Again, you can work around this (by using "poetry export --with-credentials" and "pip download" for fetching the dependencies, then firing up pypiserver [2] to run a local PyPI server on the offline machine), but ideally this would all be a first class feature of Poetry, similar to how it is in pip.
I don't have the capacity to create Pull Requests for addressing these issues with Poetry, and I'm very grateful for the maintainers and those who do contribute. Instead, on the linked issues I share my notes on the matter, in the hope that it may at least help others and potentially get us closer to a solution.
Regardless, I'm sticking with Poetry for now. Though to be fair, the only other Python packaging tools I've used extensively are Pipenv and pip/setuptools. It's time consuming to thoroughly try out these other packaging tools, and is generally lower priority than developing features/fixing bugs, so it's helpful to read about the author's experience with these other tools, such as PDM and Hatch.
[0] https://github.com/python-poetry/poetry/issues/2740
[1] https://github.com/python-poetry/poetry/issues/2184
[2] https://pypi.org/project/pypiserver/
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Introducing Flama for Robust Machine Learning APIs
We believe that poetry is currently the best tool for this purpose, besides of being the most popular one at the moment. This is why we will use poetry to manage the dependencies of our project throughout this series of posts. Poetry allows you to declare the libraries your project depends on, and it will manage (install/update) them for you. Poetry also allows you to package your project into a distributable format and publish it to a repository, such as PyPI. We strongly recommend you to learn more about this tool by reading the official documentation.
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How do you resolve dependency conflicts?
I started using poetry. The problem is poetry will not install if there is dependency conflict and there is no way to ignore: github
What are some alternatives?
stage0 - A set of minimal dependency bootstrap binaries
Pipenv - Python Development Workflow for Humans.
scalafix-organize-imports - A CI-friendly Scalafix semantic rule for organizing imports
PDM - A modern Python package and dependency manager supporting the latest PEP standards
libcperciva - BSD-licensed C99/POSIX library code shared between tarsnap, scrypt, kivaloo, spiped, and bsdiff.
hatch - Modern, extensible Python project management
Scalafix - Refactoring and linting tool for Scala
pyenv - Simple Python version management
swc - Rust-based platform for the Web
pip-tools - A set of tools to keep your pinned Python dependencies fresh.
Befunge - lang befunge 93 fast
virtualenv - Virtual Python Environment builder