postgres
warehouse
postgres | warehouse | |
---|---|---|
29 | 275 | |
2,093 | 3,470 | |
1.2% | 0.5% | |
7.5 | 9.7 | |
1 day ago | 3 days ago | |
Shell | Python | |
MIT License | Apache License 2.0 |
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.
postgres
- How to Escape a Container
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Problem with Postgres container configuration?
EDIT: Somehow i managed to fix it right now (I struggled with this problem yesterday for hours). This github issue have helped: https://github.com/docker-library/postgres/issues/537 If anyone runs into this problem, those are crucial instructions that helped me: docker system prune docker-compose up --force-recreate --build --remove-orphans --always-recreate-deps --renew-anon-volumes
- PostgreSQL 16 Beta 1 Released!
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PyPI new user and new project registrations temporarily suspended
Tragedy of the commons - only need a few actors to ruin it all for us. Almost all distributors face this problem, from Docker Hub to PyPI. This also reminded me of official Postgres Docker image running a cryptominer in the background [1]
[1] - https://github.com/docker-library/postgres/issues/770
- [Docker] Point d’entrée Docker-initdb.d Postgres
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Nix Turns 20. What the Hell Is It?
If you open the dockerfile of the desired container, you can determine exactly how and what was built. If not satisfied, you can always build your own container with the right postgresql build flags.
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archive_command not being executed?
Ok according to The Dockerfile, postgres is running in /var/lib/postgresql/data so you will need enter the container and look at the log files in /var/lib/postgresql/data/pg_log/
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How do I create a docker image for postgres with nix?
I got started on trying to make a basic postgres image but I can't seem to figure out how to include a shell script in the same folder as my nix file (fetched from https://github.com/docker-library/postgres/blob/master/docker-entrypoint.sh and to be modified once I get it working) into the docker image as an entrypoint
- Postgres on docker works without a shell perfectly but fails when run via shell
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What exactly is VOLUME used for inside the dockerfile?
See example here : https://github.com/docker-library/postgres/issues/601
warehouse
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Create an AI prototyping environment using Jupyter Lab IDE with Typescript, LangChain.js and Ollama for rapid AI prototyping
pip install PackageName: installs a package (you can browse the available packages in the Python Package Index)
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Smooth Packaging: Flowing from Source to PyPi with GitLab Pipelines
python3 -m pip install \ --trusted-host test.pypi.org --trusted-host test-files.pythonhosted.org \ --index-url https://test.pypi.org/simple/ \ --extra-index-url https://pypi.org/simple/ \ piper_whistle==$(python3 -m src.piper_whistle.version)
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Pickling Python in the Cloud via WebAssembly
In my experience so far, I can use a vast amount of the Python Standard Library to build Wasm-powered serverless applications. The caveat I currently understand is that Python’s implementation of TCP and UDP sockets, as well as Python libraries that use threads, processes, and signal handling behind the scenes, will not compile to Wasm. It is worth noting that a similar caveat exists with libraries that I find on The Python Package Index (PyPI) site. While these caveats might limit what can be compiled to Wasm, there are still a ton of extremely powerful libraries to leverage.
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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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PyPI Packaging
From there, I needed to learn a bit about PyPi or Python Package Index, which is the home for all the wonderful packages that you know if you have ever run the handy pip install command. PyPi has a pretty quick and easy onboarding, which requires a secured account be created and, for the purposes of submitting packages from CLI, an API token be generated. This can be done in your PyPi profile. Once logg just navigate to https://pypi.org/manage/account/ and scroll down to the API tokens section. Click “Add Token” and follow the few steps to generate an API token which is your access point to uploading packages. With all this in place, I was able to use twine to handle the package upload. First I needed to install twine, again as simple as pip install twine. In order for twine to access my API token during the package upload process, it needed to read it from .pypirc file that contains the token info. For some that file may exist already, for me I was required to create it. Working in windows I simply used a text editor to create it in my home user directory ($HOME/.pypirc). The file contents had a TOML like format looked like this:
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Releasing my Python Project
I have published the package to Python Package Index, commonly called PyPi, and in this post, I'll be sharing the steps I had to follow in the process.
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Publishing my open source project to PyPI!
Register at PyPI.org
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Show HN: I mirrored all the code from PyPI to GitHub
According to the stats on the original link, there are over 25,000 identified secret ids/keys/tokens in the data. And it looks like that's just identifiable secrets, e.g. "Google API Keys" that I'm guessing are identifiable because they have a specific pattern, and may be missing other secrets that use less recognizable patterns.
I mean, sure, compared to the 478,876 Projects claimed on https://pypi.org/, that's a pretty small minority. On the other hand, I'd guess a many Python packages don't use these particular services, or even need to connect to a remote service at all, so the area for this class of mistake should be even smaller.
And mistakes do happen, but that's a pretty big thing to miss if you are knowingly publishing your code with the expectation other people will be reading it.
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Pezzo v0.5 - Dashboards, Caching, Python Client, and More!
PyPi package
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Modifying keywords in python package
Does pypi.org display the Union of all keywords, the keywords of the most recent release, the keywords of the first release or some other weird combination like the intersection?
What are some alternatives?
pgBackRest - Reliable PostgreSQL Backup & Restore
devpi
spilo - Highly available elephant herd: HA PostgreSQL cluster using Docker
bandersnatch
checkmk - Checkmk - Best-in-class infrastructure & application monitoring
localshop - local pypi server (custom packages and auto-mirroring of pypi)
kanban-board - Single-click full-stack application (Postgres, Spring Boot & Angular) using Docker Compose
Poe the Poet - A task runner that works well with poetry.
MeshCentral - A complete web-based remote monitoring and management web site. Once setup you can install agents and perform remote desktop session to devices on the local network or over the Internet.
scribd-downloader
deck-chores - A job scheduler for Docker containers, configured via labels.
Python Packages Project Generator - 🚀 Your next Python package needs a bleeding-edge project structure.