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b82e7a7 3d19c46 b82e7a7 3d19c46 b82e7a7 3d19c46 b82e7a7 3d19c46 b82e7a7 3d19c46 b82e7a7 3d19c46 b82e7a7 3d19c46 b82e7a7 3d19c46 b82e7a7 3d19c46 1eb6d25 56ebfd8 e22a013 56ebfd8 3d19c46 b82e7a7 3d19c46 b82e7a7 56ebfd8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 | from dash import dcc
def get_intro_markdown():
return dcc.Markdown("""
### ⚡ Function Call Visualizer for Python
Upload `.py` files and instantly see how functions connect—**visually**.
Ideal for refactoring, onboarding, debugging, or exploring unfamiliar code.
---
#### 🔍 Features
- Upload **one or more** Python files
- Pick a top-level function to trace all its calls
- Auto-inferred:
- Function arguments and return types (e.g. `df: pd.DataFrame`)
- Session state usage (e.g. Streamlit `session_state`)
- Interactive graph with:
- Call order on edges (`1`, `2`, `3`)
- Thicker lines for repeated calls
- Directional arrows and clear layout by call depth
- Toggleable summary tables
---
#### 🚀 How to Use
1. Switch to the **Graph Explorer** tab
2. Upload `.py` file(s)
3. Select an entry-point function
4. Explore how your code is structured—at a glance
---
### 👋 About the Creator
This open-source tool is built by **Tomas Larsson**,
a data scientist and creator of [**my.moneytoolbox.com**](https://mymoneytoolbox.com), where he shares tools and insights for:
- Tax-efficient investing
- Retirement modeling
- Personal finance analytics
- Code-first decision tools for DIY investors and engineers
---
### 🤝 Connect
Love tools like this?
Connect on [**LinkedIn**](https://www.linkedin.com/in/tomaslarsson/) —
Love to discuss ideas for new tools.
---
### 🧠 Tags
`#python` `#static-analysis` `#ast` `#code-visualization` `#developer-tools` `#streamlit` `#dash` `#visualization`
""",link_target="_blank")
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