python-dotenv
pydantic-cli
python-dotenv | pydantic-cli | |
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27 | 8 | |
7,104 | 125 | |
- | - | |
5.7 | 0.0 | |
24 days ago | 3 days 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
pydantic-cli
- argparse_dataclass: declarative CLIs with argparse and dataclasses (e.g. similar to Rust's structopt)
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Yet another command line tool: clidantic, typed CLIs with click and pydantic
A comparison with https://github.com/mpkocher/pydantic-cli is welcome.
- Stop Hardcoding Sensitive Data in Your Python Applications - use python-dotenv instead!
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Mypy 0.940 Released
pydantic-cli
- Anyone know a CLI parser like plac that is being maintained?
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Am I making things harder for myself by not using any OO stuff?
Also, the new type annotations/hints feature added to Python is an extremely useful mechanism to clearly communicate interfaces when leveraging functions as first class citizens. This can dramatically help readability and maintainability. Here's an example library designed leveraging functional centric concepts + type annotations.
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What's the status of MyPy?
Depending on the strictness level of adoption of mypy, this can sometimes (often?) requires changing how you write code. You can see some contortions here. However, having strict type analysis enables catching a lot of issues.
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We hand-picked the best Python libraries released in 2020
https://github.com/mpkocher/pydantic-cli#other-related-tools
What are some alternatives?
python-decouple - Strict separation of config from code.
Python Fire - Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
django-environ - Django-environ allows you to utilize 12factor inspired environment variables to configure your Django application.
Functional-Programming-Techniques-In-Python - Exploring functional centric designs and patterns in Python
ConfigParser
pylsp-mypy - Mypy plugin for the Python LSP Server.
django-dotenv - Loads environment variables from .env
pydantic-aioredis - A Declarative ORM for Redis using Pydantic Models and aioredis
dynaconf - Configuration Management for Python ⚙
snakemake - This is the development home of the workflow management system Snakemake. For general information, see
hydra - Hydra is a framework for elegantly configuring complex applications
tasmotizer - ESP... The time has come to... Tasmotize!