laravel-websockets-example
pip
laravel-websockets-example | pip | |
---|---|---|
5 | 108 | |
21 | 9,289 | |
- | 0.6% | |
0.0 | 9.8 | |
over 3 years ago | about 20 hours ago | |
PHP | Python | |
MIT License | MIT License |
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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.
laravel-websockets-example
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Bash functions are better than I thought
I do the same thing, but slightly differently. https://github.com/francislavoie/laravel-websockets-example/...
- Laravel Websockets + apache2 + docker
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How to make a Python package in 2021
I rather just write a bash script. It's the lowest common denominator. Make may not be installed by default in many places and it has some weird syntax quirks that make it annoying to use IMO.
Here's an example of how I like to do my "bash scripts that sorta work like make": https://github.com/francislavoie/laravel-websockets-example/... basically each function is a "command", so I do like "./utils start" or whatever.
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Sail for production?
This is an example repo I built a little while ago which outlines how I like to structure my Laravel projects for Docker: https://github.com/francislavoie/laravel-websockets-example
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Creating Docker container for PHP scripts
I wrote up my own version of what a docker stack looks like as an example repo a few months ago, I wanted to give Laravel Sail a spin but I found that it really wasn't that good; no path to transitioning to running on prod with that setup, no easy local HTTPS support, etc. Here it is: https://github.com/francislavoie/laravel-websockets-example
pip
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How to Create Virtual Environments in Python
Whenever you are working on a Python project that has external dependencies installed with pip, it is strongly recommended to first create a virtual environment.
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Boring Python: dependency management (2022)
Unfortunately that feature is easy to break: https://github.com/pypa/pip/issues/9644
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pip VS instld - a user suggested alternative
2 projects | 9 Dec 2023
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sudo pip install should be illegal
I think I did my part https://github.com/pypa/pip/issues/6409
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Can't seem to install Python YAML support
$ sudo pip install y$ sudo pip install yaml WARNING: pip is being invoked by an old script wrapper. This will fail in a future version of pip. Please see https://github.com/pypa/pip/issues/5599 for advice on fixing the underlying issue. To avoid this problem you can invoke Python with '-m pip' instead of running pip directly. ERROR: Could not find a version that satisfies the requirement yaml (from versions: none) ERROR: No matching distribution found for yaml
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Bun v0.6.0 – Bun's new JavaScript bundler and minifier
What are you implying will happen?
Using the build-in tools, you can save the exact versions of dependencies (i.e. a lock file) using "pip freeze >dependencies.txt". This should give you the exact same set of packages in two years' time.
If you want to be even more sure, you can also store hashes in the lock file. This has to be generated by a separate tools at the moment [1][2] but can be consumed by the built-in tools [3], so "pip install -r requirements.txt" is still all you need in two years' time.
[1] https://github.com/pypa/pip/issues/4732
[2] https://pip-tools.readthedocs.io/en/latest/#using-hashes
[3] https://pip.pypa.io/en/stable/topics/secure-installs/#hash-c...
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My Goldilocks Python Setup: pyenv, pipx, and pip-tools
Here’s the issue, https://github.com/pypa/pip/issues/11664. I think the idea would be to have some file/json description of environment that could be passed to pip to allow it to fully cross compile. They are open to supporting it just needs contributor to be found to implement it and go through review/discussion.
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Remote Code Execution Vulnerability in Google They Are Not Willing to Fix
To be fair the only alternative is fixing Python, and even then you still would have to wait a good 5 years at least for all the old Python versions to dwindle.
It doesn't look like the fixing effort is progressing very quickly: https://github.com/pypa/pip/issues/8606
To their credit, at least they didn't close it "works as intended" which I imagine a lot of projects would.
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Pip 23.1 Released - Massive improvement to backtracking
Another good benchmark to trying to resolve apache-airflow[all]==1.10.13 using the state of PyPi on 2020-12-02, I give instructions here on how to reproduce that workflow: https://github.com/pypa/pip/issues/11836. Including a benchmark how how many extra packages your resolver should visit.
- will upgrading pip break things?
What are some alternatives?
caddy-docker - Source for the official Caddy v2 Docker Image
mamba - The Fast Cross-Platform Package Manager
docker-images-php - A set of PHP Docker images
Poetry - Python packaging and dependency management made easy
Caddy - Fast and extensible multi-platform HTTP/1-2-3 web server with automatic HTTPS
PDM - A modern Python package and dependency manager supporting the latest PEP standards
yew - Rust / Wasm framework for creating reliable and efficient web applications
conda - A system-level, binary package and environment manager running on all major operating systems and platforms.
vscode-python - Python extension for Visual Studio Code
pip-tools - A set of tools to keep your pinned Python dependencies fresh.
flit - Simplified packaging of Python modules
wheel - Adoption analysis of Python Wheels: https://pythonwheels.com/