python-dotenv
PDM
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python-dotenv | PDM | |
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27 | 47 | |
7,079 | 6,553 | |
- | 4.5% | |
5.1 | 9.6 | |
17 days ago | about 23 hours ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" 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.
python-dotenv
- What are the best ways to prevent writing secrets in the code.
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Chat with GPT-4 Web App in only 80 lines of Python
I personally just use .env to keep api keys
- I create a library for managing configurations as mappings, supports .env by default
- Error - UnicodeDecodeError: 'utf-8' codec can't decode byte 0xff in position 0: invalid start byte
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Elegantly Handle Environment Variables in Python with Pydantic
similar to dotenv, I like this object oriented approach though.
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pdm-dotenv: Simplify Your Project's Environment Variable Management
Are you working on a Python project that uses pdm for dependency management and dotenv for local environment variable and secrets management? Do you find it frustrating when CLI tools like pgcli don't automatically pick up your .env file, forcing you to resort to npm install -g dotenv-cli? I've got a more convenient solution for you!
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Don't know how to work with .gitignore, first time actively working on a public repo
Similarly, I use python-dotenv which reads environment variables, or variables set in a .env file. Then in your settings.py file you can do things like:
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Writing unit tests, constants, and source control (GIT) question!?
Locally you may want to use a .env file that is also in .gitignore and python-dotenv to auto activate them. Also having an .env.template is also a good idea to help others working on the project know what they need to set in order for things to work.
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Need help running Django at a local machine after deploying it
But there's no web UI to set them for your local dev version. But there are various Python modules that will read environment variables from a file named .env. I like https://github.com/theskumar/python-dotenv myself. So try using that - create a .env file for your local dev site and use dotenv instead of os.getenv() to read the environment variables.
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Build Simple CLI-Based Voice Assistant with PyAudio, Speech Recognition, pyttsx3 and SerpApi
python-dotenv
PDM
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Implementing Quality Checks In Your Git Workflow With Hooks and pre-commit
# See https://pre-commit.com for more information # See https://pre-commit.com/hooks.html for more hooks repos: - repo: https://github.com/pre-commit/pre-commit-hooks rev: v3.2.0 hooks: - id: trailing-whitespace - id: end-of-file-fixer - id: check-yaml - id: check-toml - id: check-added-large-files - repo: local hooks: - id: tox lint name: tox-validation entry: pdm run tox -e test,lint language: system files: ^src\/.+py$|pyproject.toml|^tests\/.+py$ types_or: [python, toml] pass_filenames: false - id: tox docs name: tox-docs language: system entry: pdm run tox -e docs types_or: [python, rst, toml] files: ^src\/.+py$|pyproject.toml|^docs\/ pass_filenames: false - repo: https://github.com/pdm-project/pdm rev: 2.10.4 # a PDM release exposing the hook hooks: - id: pdm-lock-check - repo: https://github.com/jumanjihouse/pre-commit-hooks rev: 3.0.0 hooks: - id: markdownlint
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Beginning Python: Project Management With PDM
PDM is a solution that allows for easy creation and management of python projects. Some of the key features that will improve the management of python projects include:
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A question about good practice when using docker.
You'd need a proper dependencies management tool like PDM or Poetry to exhaustively resolve and lock down all the transitive dependencies if you want to have anything closed to reproducible build.
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pdm-dotenv: Simplify Your Project's Environment Variable Management
Are you working on a Python project that uses pdm for dependency management and dotenv for local environment variable and secrets management? Do you find it frustrating when CLI tools like pgcli don't automatically pick up your .env file, forcing you to resort to npm install -g dotenv-cli? I've got a more convenient solution for you!
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PEP 582 rejected - consensus among the community needed
I first learned about PDM from a blog post written by one of the PDM contributers. The post was about OOPifying argparse to allow for easy creation/modification of subcommands that exist as their own classes/files, and to avoid maintaining a single long script with an endless number of subparser.add_argument(...) lines.
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PEP 704 – Require virtual environments by default for package installers
That's more or less what PEP 582 plans to do, but it's been stalled and mired in discussions for years. The PDM tool went ahead and implemented it though if you want to use it: https://github.com/pdm-project/pdm
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This Week In Python
pdm – A modern Python package and dependency manager
- Pdm: A modern Python dependency manager supporting the latest PEP standards
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How does a virtual environment work?
pdm and PEP 582 enter the chat
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Boring Python: Code Quality
I'm liking PDM for a while now. Quicker than Poetry and built according to the Python package spec in mind and not as an afterthought. While it was originally meant to work with PEP 582, it works with virtual environments too (now default).
https://github.com/pdm-project/pdm
What are some alternatives?
python-decouple - Strict separation of config from code.
Poetry - Python packaging and dependency management made easy
django-environ - Django-environ allows you to utilize 12factor inspired environment variables to configure your Django application.
conda - A system-level, binary package and environment manager running on all major operating systems and platforms.
ConfigParser
pip-tools - A set of tools to keep your pinned Python dependencies fresh.
django-dotenv - Loads environment variables from .env
pip - The Python package installer
dynaconf - Configuration Management for Python ⚙
Pipenv - Python Development Workflow for Humans.
hydra - Hydra is a framework for elegantly configuring complex applications
PyFlow - Visual scripting framework for python - https://wonderworks-software.github.io/PyFlow