suleymansade.bsky.social
@suleymansade.bsky.social
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/...
A change in vision | Building Stocksimpy (Devlog 4)
Imagine being able to test your strategy in less than 10 lines of Python code, rather than spending hours with other libraries. This is…
medium.com
August 28, 2025 at 12:49 AM
Other libraries already do that — but they’re too confusing for beginners.

Sometimes you just want to test:
SMA50 > SMA100

You shouldn’t need 200 lines of code for that.
August 28, 2025 at 12:49 AM
Curious how others handle project documentation. Do you automate it? Skip it? Obsess over it? Let’s chat.

#Python #OpenSource #Sphinx #DevDocs #buildinpublic #StockSimPy
July 18, 2025 at 4:01 PM
I broke it all down in this post:
📚 “Setting Up Proper Documentation with Sphinx — Building StockSimPy #1”
👉 medium.com/python-in-pl...
Setting up proper documentation with Sphinx docs — Building stocksimpy 1
Hi there! If you are new to this series, “Building stocksimpy” is a series where I create a new Python library from scratch, documenting…
medium.com
July 18, 2025 at 4:01 PM
The best part? Once set up, adding new modules and functions to your docs takes just a few lines of config.

It’s a game-changer for long-term maintainability.
July 18, 2025 at 4:01 PM
Why spend time on docs?

They make your code usable by others (and your future self)

They boost credibility—especially for open-source work

And with Sphinx, maintaining them doesn’t feel like a second job
July 18, 2025 at 4:01 PM
In my latest blog post, I cover:
✅ How to set up Sphinx in minutes
✅ Autogenerating docs from your code with autodoc
✅ Using Google-style docstrings and napoleon
✅ Making your docs future-proof and contributor-friendly
July 18, 2025 at 4:01 PM
Excited to share more projects like this soon.
Follow if you're into #AI, fast builds, or ML deployment 🚀
July 15, 2025 at 8:19 PM
Full article with ROC curves, ML decisions, and takeaways:
👉 blog.stackademic.com/diaguide-how...
DiaGuide: How I Built a Diabetes Risk Prediction App with AI in 48 Hours
DiaGuide: How I Built a Diabetes Risk Prediction App with AI in 48 Hours
blog.stackademic.com
July 15, 2025 at 8:19 PM
Streamlit Cloud hosted the app.
All I needed was a GitHub repo and a requirements.txt.
Push and deploy!
July 15, 2025 at 8:19 PM
The app was built in Streamlit.
→ No frontend coding
→ Fast and responsive
→ Easy deployment
July 15, 2025 at 8:19 PM
I tested 3 ML models:
– Logistic Regression
– Random Forest
– Gradient Boosting

Logistic Regression had AUC ~0.81 and was fastest, so I picked it.
July 15, 2025 at 8:19 PM
I cleaned a public dataset and chose to remove income and education, which only improved accuracy slightly.
The focus was on trust and accessibility, not just numbers.
July 15, 2025 at 8:19 PM
The goal:
– Predict diabetes risk
– Use ethical, transparent modeling
– Deploy it on the web

I called the project DiaGuide.
July 15, 2025 at 8:19 PM