Why we use Python
Python is a practical choice for automation, data processing, and internal tooling. It makes our iterations faster while staying readable and maintainable.
- Automate routine operations, reporting, and content workflows
- Build data pipelines for ingestion, cleaning, and transformation
- Script integrations and maintenance tasks with predictable behaviour
- Keep tooling simple to operate, extend, and audit over time
Where Python fits in our approach
We use Python for automation and supporting systems, including scheduled jobs, CI-driven workflows, and data processing tasks that complement web and mobile products.
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Python
Automation
Automation and data pipelines built with Python, designed for reliability, repeatability, and clean operational workflows.
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