templates
conda
templates | conda | |
---|---|---|
12 | 30 | |
790 | 6,086 | |
3.3% | 0.6% | |
7.3 | 9.8 | |
29 days ago | 7 days ago | |
Shell | Python | |
MIT 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.
templates
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Creating a movie finder app with Streamlit and OMDb API
// For format details, see https://aka.ms/devcontainer.json. For config options, see the // README at: https://github.com/devcontainers/templates/tree/main/src/python { "name": "Python 3", // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile "image": "mcr.microsoft.com/devcontainers/python:1-3.11-bullseye", "customizations": { "codespaces": { "openFiles": [ "README.md", "streamlit_app.py" ] }, "vscode": { "settings": {}, "extensions": [ "ms-python.python", "ms-python.vscode-pylance" ] } }, "updateContentCommand": "[ -f packages.txt ] && sudo apt update && sudo apt upgrade && sudo xargs apt install -y
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Microsoft Docker Development Container Templates
Ooo, they have one for rails + postgres!
https://github.com/devcontainers/templates/tree/main/src/rub...
- .devcontainer Containerized environment workflow
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ChatGPT Meets GitHub Codespaces: How I'm Optimizing ChatGPT Quickstart Plugins for Remote Development
// For format details, see https://aka.ms/devcontainer.json. For config options, see the // README at: https://github.com/devcontainers/templates/tree/main/src/python { "name": "Python 3", // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile "image": "mcr.microsoft.com/devcontainers/python:0-3.11-bullseye", "features": { "ghcr.io/devcontainers-contrib/features/coverage-py:2": {} } // Features to add to the dev container. More info: https://containers.dev/features. // "features": {}, // Use 'forwardPorts' to make a list of ports inside the container available locally. "forwardPorts": [5003], // Use 'postCreateCommand' to run commands after the container is created. "postCreateCommand": "pip install -r requirements.txt", "postAttachCommand": ".devcontainer/addcodespacename.sh && python main.py", // Configure tool-specific properties. "customizations": { "codespaces": { "openFiles": [ ".well-known/ai-plugin.json", "openapi.yaml" ] } } } // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root. // "remoteUser": "root" }
- GitHub + Dev Hackathon 2023 - Self-hosted Azure Pipelines Agent Codespace/Dev Container
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How to Build a Kafka Producer in Rust with Partitioning
$ cd tracing_publisher $ mkdir .devcontainer $ cat > .devcontainer/devcontainer.json // For format details, see https://aka.ms/devcontainer.json. For config options, see the // README at: https://github.com/devcontainers/templates/tree/main/src/rust { "name": "Rust", "service": "rust-log-processing", "dockerComposeFile": "../docker-compose.yml", "features": { "ghcr.io/devcontainers/features/rust:1": {} }, "workspaceFolder": "/workspaces/${localWorkspaceFolderBasename}", "shutdownAction": "stopCompose" }
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Run self-hosted GitHub runners on GitHub Codespaces (Video Tutorial)
Based on a previous blog post, this devcontainer is now publicly available as a template for anyone to use at Dev Container Templates and integrated with publicly available Codespace images.
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How to get the best Conda environment experience in Codespaces
When you start a Codespace for a project, it will try to use whatever Dev Container you have specified in your repo, else it will try to use a kitchen sink container. That default kitchen sink is can be way too much and so if you will be working with Conda environments with an Anaconda or Miniconda Dev Container template instead.
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Configure Python Formatter and Linter for a VSCode Dev Container
This example uses the Docker in Docker dev container. There are others that may suit you better, feel free to customize to your needs. This example doesn’t rely on the exact type of dev container used.
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Take your development environment anywhere and on any machine with Dev Containers.
there are already built docker images for common development environment. You can either use one of them, or build one from Docker file. Using a pre-built dev container doesn't mean you are only limited to that image, because you can still add other tools, which they are called features to that image. For a list of the pre-built templates check here, and for the other features that you can add check this. You don't need a Docker file, unless you want to build your dev environment step by step.
conda
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How to Create Virtual Environments in Python
Python's venv module is officially recommended for creating virtual environments since Python 3.5 comes packaged with your Python installation. While there still are additional older tools available, such as conda and virtualenv, if you are new to virtual environments, it is best to use venv now.
- Why does creating my conda environment use so much memory?
- Installing Anaconda on ChromeOS using Linux
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PSA: conda-libmamba-solver can cut two hours off of your Anaconda install, but has only 47 GitHub stars. It deserves more praise.
conda's dependency solver solves a harder problem than pip's. This quote alludes to it "Conda will never be as fast as pip, so long as we're doing real environment solves and pip satisfies itself only for the current operation." (from https://github.com/conda/conda/issues/7239). Thus mamba was created to improve performance and now conda is bringing in that performance boost.
- Is Anaconda still open source?
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How to get the best Conda environment experience in Codespaces
The other challenge I ran into sometimes was that if I was running a lower memory/storage Codespace instance, when I tried to use Conda from the command line to modify environments, the process would be killed after a few seconds. This turns out to be related to some performance issues Conda has that make it consume a lot of memory when trying to work with the conda-forge installation channel. You can always then just increase the size of the Codespace your are working with (just go to your Codespaces list and use the triple dots to change the settings for a Codespace).
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What is the status of Python 3.11?
It's worth noting that [ana]conda isn't even fully compatible yet with 3.11 (you can use it to create 3.11 environments--and you really should rather than waiting on relying on the system python--but conda itself can only run on 3.10.
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Miniconda finally released for Python 3.10
It took some time but as great Christmas present Miniconda was finally released with Python 3.10!
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TW: ZSH (and BASH?) does not show current working dir etc anymore
The September update broke it.
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Python 3.11.0 is now available
According to this this issue is high on their priority list (whatever that means).
What are some alternatives?
kcat - Generic command line non-JVM Apache Kafka producer and consumer
mamba - The Fast Cross-Platform Package Manager
features - A collection of Dev Container Features managed by Dev Container spec maintainers. See https://github.com/devcontainers/feature-starter to publish your own
Poetry - Python packaging and dependency management made easy
features - A collection of development container 'features' for machine learning and data science
miniforge - A conda-forge distribution.
conda-devcontainer-demo - Mini Conda + Mamba dev container setup to make working with environments easy.
PDM - A modern Python package and dependency manager supporting the latest PEP standards
docked - Running Rails from Docker for easy start to development
pip-tools - A set of tools to keep your pinned Python dependencies fresh.
tracing-blog-post - Example code for a blog post about tracing
pip - The Python package installer