After using Python for over 2 years I am still really confused about all of the installation stuff and virtual environments

• s2i-python-container

  1 258 8.1 Shell

  Python container images based on Red Hat Software Collections and intended for OpenShift and general usage, that provide a platform for building and running Python applications. Users can choose between Red Hat Enterprise Linux, Fedora, and CentOS based images.

  

  The Python s2i image supports poetry and pipenv by just flipping on an environment variable.

• pipx

  38 8,717 9.2 Python

  Install and Run Python Applications in Isolated Environments

  

  Pip is pretty simple and useful for me - you have your own environment for every script/program, requirements.txt is simple to understand too... It's kinda good solution for regular users... For more complex projects we have Poetry, PipX, that was inspired by NPM(x), I think...

• InfluxDB

  www.influxdata.com

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  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• Poetry

  377 29,316 9.6 Python

  Python packaging and dependency management made easy

  

• Autoenv

  6 5,543 6.1 Shell

  Directory-based environments.

  There is an autoenv tool you can use to automatically activate a python virtualenv when you cd into a directory but it’s a little annoying to set up https://github.com/hyperupcall/autoenv

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