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James Krape
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Python Automations for Analysts

  • Python
  • Systems

This entry is a placeholder. It holds the page's layout while the real article is written.

My Automation Philosophy

If I do something more than twice, I script it. Not because I love coding for its own sake, but because every hour I spend on repetitive tasks is an hour I'm not spending on actual analysis.

Common Automations

1. Scheduled Data Pulls

Using Python with cron jobs or task schedulers to pull data from APIs and databases on a schedule.

2. Report Generation

Templated reports that pull fresh data, generate charts, and email stakeholders automatically.

3. Data Quality Checks

Scripts that run daily to flag anomalies, missing data, or unexpected values before they hit dashboards.

The ROI is Real

A 2-hour automation script that saves 30 minutes a week pays for itself in a month. After a year, that's 26 hours back.

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