Today I'm kicking off a deep dive into Python backend development, and I'm documenting every step of it here on dev.to
I'm a data analyst/scientist by background I spend my days building dashboards and ML models. I want to go from someone who can train and evaluate a model to someone who can actually build, secure, and deploy a real backend API. Writing about it publicly keeps me honest, and hopefully it helps other data scientists making the same jump into backend engineering.
The plan
I'm working through Sanjeev Thiyagarajan's (freeCodeCamp) FastAPI course.
How I'll document it
Rather than one giant post at the end, I'll be posting short write-ups as I go, what I learned, what confused me, what finally clicked, and small code snippets that explain each concept simply.
Follow along
If you're learning Python or FastAPI too, I'd love the company, drop a comment and let's keep each other accountable. First real topic drops soon: setting up the environment and writing my first FastAPI route.
Let's go. 🚀
Top comments (3)
Your commitment to documenting each step of your Python backend deep‑dive makes it super easy to follow and learn alongside you. If you ever want to reach an even wider dev audience, consider syndicating the post on ZyVOP (zyvop.com).
Thank you, I will check it out.
Please let me know if you face any issues, you can also import your existing post with same canonical url