WinPython
Poetry
WinPython | Poetry | |
---|---|---|
41 | 377 | |
1,717 | 29,552 | |
1.3% | 1.3% | |
8.5 | 9.7 | |
3 days ago | 2 days ago | |
Python | Python | |
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.
WinPython
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One path to connecting a Python script to a COM application on Windows
STEP 1: Python on Windows What to install Download and install WinPython from https://winpython.github.io. I researched Python on Windows and in very short order understood that WinPython is the way to go. While it’s stated audience is scientists, data scientists and education, it fully serves the needs of personal projects. Also, it is available as a portable distribution with no requirement to register with Windows. This checked all the boxes.
- WinPython
- WinPython: Run Python, Spyder with SciPy on Any Windows PC
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Pip 23.1 Released - Massive improvement to backtracking
Feel free to share the resolver you wrote and we can test it on real world scenarios that are very difficult, here's a fun one that I remember: https://github.com/winpython/winpython/blob/master/Qt5_requirements64.txt
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IT does not allow me to have a Python environment on my computer.
WinPython maybe? https://winpython.github.io/. Its a local python installation.
- Run .py from a USB on a PC without installing phyton, possible?
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qBitTorrent search plugins - portable python runtime ?
how can i use the portable version of winpython from https://winpython.github.io to configure into qbittorrent to detect the runtime pre-requisites so that my portable qbittorent search can work? thx in advanced. #portablepython
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What you guys use to process data? Excel? r? python?
You equally are barred from e.g., WinPython which can work without an installation into the OS, too? Then - mechanically speaking - it wouldn't matter that the USB ports are permanently plastered with some polymer.
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Jupyterlab Desktop
Thank for answering. I understand that the interpreter situation can be annoying. There is WinPython [0] to circumvent that to some degree. I feel like if I don’t do it the „VSCode and py-file“ way, it’ll be more and more difficult to keep everything together when teaching about modularity and putting functions in helper scripts, putting tests in other directories and such. I think it’s just because I got used to using VSCode and not Notebooks although I’ve used them for a while.
[0] https://winpython.github.io
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How to learn Python without installation
One option would be to use a portable Python runtime. Like this one: https://winpython.github.io/
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?
PyWin32 - python for windows extensions
Pipenv - Python Development Workflow for Humans.
PythonNet - Python for .NET is a package that gives Python programmers nearly seamless integration with the .NET Common Language Runtime (CLR) and provides a powerful application scripting tool for .NET developers.
PDM - A modern Python package and dependency manager supporting the latest PEP standards
PyInstaller - Freeze (package) Python programs into stand-alone executables
hatch - Modern, extensible Python project management
pythonlibs - A Python wrapper for the extremely fast Blosc compression library
pyenv - Simple Python version management
pyxll-utils
pip-tools - A set of tools to keep your pinned Python dependencies fresh.
python-shell - Run Python scripts from Node.js with simple (but efficient) inter-process communication through stdio
virtualenv - Virtual Python Environment builder