Local GCP Python project with PyEnv, Pipenv and IntelliJ IDEA
This video shows how having a Python local project with PyPi packages.
This example use Google Cloud projects and packages like Apache Beam Python and BigQuery Python client.
We want showing a way to have a comfortable environment, with the possibility to navigate on all the PyPi packages of a project, methods and classes without errors in the code.
PyEnv is a tool allowing to install and manage multiple Python versions, without affecting the Python version installed on the system.
PipEnv is a tool allowing to manage more correctly and easily the creation of virtual env and Python packages. It's also based on a PipFile.lock file that creates a hash per package and prevent to download an incorrect package and release for our project.
IntelliJ IDEA is used for our Python GCP project. It proposes a way to create a Python SDK based on PipEnv and a PipFile.lock file.
This SDK is then set for the current project.
It's a great IDE to work on Python and all other languages.
#googlecloud #Python #BigQuery #ApacheBeam #VirtualEnv #PyEnv #PipEnv #PyPi
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