Python Articles

Backend development, APIs, and automation with Python.

TaskFlow API — a FastAPI, PostgreSQL, Redis, and Celery project built with Claude
I Built a Production-Style Python API With Claude — Here's Exactly What Happened
An honest, evidence-based account of building a FastAPI + PostgreSQL + Redis + Celery task management API with Claude — including the real bugs, the real fixes, and where AI assistance actually helped versus where engineering judgment still mattered.
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Production-ready FastAPI backend architecture
Building a Production-Ready FastAPI Backend in 2026
A practical checklist for the parts of a FastAPI project that don't show up in the getting-started tutorial — project structure, configuration, dependency injection, testing, and the operational basics that decide whether it survives contact with real traffic.
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Turning a Python script into a production API
From Python Script to Production API
Most APIs start as a script that worked once on someone's laptop. Here's the specific, concrete set of changes that separates that script from something you can hand to another team and trust.
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Automating a manual business process with Python
How to Automate a Manual Business Process With Python
Most manual business processes aren't automated because they're technically hard — they're skipped because nobody mapped the process before reaching for code. A practical framework for picking the right process and automating it properly.
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Web scraping automation saving businesses hundreds of hours
How Web Scraping Can Save Businesses Hundreds of Hours
Manual research doesn't scale — a person checking competitor prices or copying leads into a spreadsheet is doing, by hand, exactly what a script does in seconds. A practical look at where web scraping pays for itself, how to build it responsibly, and where the real limits are.
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Lessons from building a production sales automation pipeline
What My First Job Taught Me About Building Automation That Doesn't Break
Lessons from building a production lead-generation pipeline at my first job at InvoZone — on scrapers that break, data that compounds errors downstream, and the difference between code that works once and code that has to keep working.
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