Use Cases and Deployment Scope
We use PyCharm to code data workflows, generate Python applications, and write in Terraform the necessary infrastructure for the data platform we are building in GCP. It allows us to develop faster due to the ease of adding widgets and extensions, the GitLab collaboration, and the console inside the IDE. The development of Python, bash, debt, and Kubernetes tools are all made in PyCharm.
Alternatives Considered
Microsoft Visual Studio Code
Other Software Used
Microsoft Visual Studio Code, Jupyter Notebook, Vertex AI, dbt