Curious how others handle project documentation. Do you automate it? Skip it? Obsess over it? Let’s chat.

#Python #OpenSource #Sphinx #DevDocs #buildinpublic #StockSimPy

Change of plans: simplicity > depth

I’ve been building StockSimPy, a Python backtesting library, for ~2 months. At first I thought “the more complex, the more professional.”

⚡ Random indicators
🌀 Over-engineering
📋 Copy-paste overload

❌ Wrong.

I broke it all down in this post:
📚 “Setting Up Proper Documentation with Sphinx — Building StockSimPy #1”
👉 medium.com/python-in-pl...

So I’m pivoting → StockSimPy will be beginner-friendly:
📚 Students & newcomers
⏱️ Backtest in 5 lines of Python
💰 See profits/losses instantly

Full write-up here: medium.com/stackademic/...

🚀 I'm building my own Python library from scratch: StockSimPy
A beginner-friendly tool for simulating stock strategies.

🧠 Why? To learn Python deeply + help others learn too.

🧪 Week 0 Devlog is live 👇
🔗 medium.com/stackademic/...

Follow along — I'll be sharing every step, win, and bug 🐛

Writing docs used to feel like a hassle—until I realized how powerful Sphinx is for Python projects.

For my latest project, StockSimPy, I decided to stop neglecting documentation and do it right from day one.

Just hit 1000+ lines in my Python library stocksimpy!
🧠 200+ lines of core logic
📝 250+ lines of documentation
🧪 700+ lines of tests
I didn’t realize writing well-documented code would be this hard 😅

I’m building in public — follow my journey on Medium:
👉 medium.com/@suleymansad...

#Python #DevLog

I dive into popular trading indicators — SMA, EMA, DEMA, and TEMA — and code them from scratch. No plug-and-play libraries. Just core logic, math, and learning by doing.

If you're curious how these actually work, I think you'll find it insightful.
📖 python.plainenglish.io/from-sma-to-...