StackSprint_LP

Stack Sprint Learning Path - API, JSON & Real-World Integrations

🚀 StackSprint_LP is a structured 20-day learning journey where I built practical skills in APIs, JSON, Streamlit, BigQuery, and FastAPI - through daily tasks, focused lessons, mini-projects, and a final capstone.

This repository documents the entire journey, including code, notebooks, and projects that progressively build towards real-world API-driven applications.

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📅 Learning Path Overview

• Duration: 20 Days (1 hour/day)
• Pace: Beginner-friendly -> Career-relevant
• Focus Areas:
  1. API Fundamentals & JSON Handling
  2. Advanced API Features (Auth, OAuth 2.0, Pagination, Rate Limits)
  3. Data Integration (SQL, Pandas, BigQuery)
  4. Visualization (Power BI, Streamlit)
  5. Web Framework Basics (FastAPI)
  6. Mini & Final Projects

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📂 Repository Structure

📦 StackSprint_LP
 ┣ 📂 day01_to_day20   # All 20 daily lessons & exercises
 ┣ 📂 Mini_Projects    # Standalone API-based small apps
 ┣ 📂 FastAPI_demo    # Demo FastAPI 
 ┣ 📂 Final_Project    # News Summarizer via News API + NLP
 ┣ 📂 assets           
 ┣ requirements.txt    # Dependencies
 ┣ .gitignore          
 ┗ README.md           

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💡 Highlights

• Hands-On Daily Tasks : Every concept paired with real API calls and data handling.
• Mini Projects : Weather App, Holiday Info App, Weather & Mood App.
• Capstone Project : News Summarizer via News API + NLP.
• Tools Covered : requests, pandas, Streamlit, FastAPI, BigQuery, SQL integration.
• Best Practices : .env for API keys, .gitignore for secrets, modular code.

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⚙️ Installation

git clone https://github.com/Arihant-3/StackSprint_LP.git
cd StackSprint_LP
pip install -r requirements.txt

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▶️ Usage

1. Create a .env file with your API keys.
2. Open the desired notebook in Jupyter or VS Code.
3. For Streamlit/FastAPI apps:

    streamlit run app.py
    uvicorn main:app --reload
    

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📌 Key Takeaways

This journey helped me:

• Understand APIs beyond just GET & POST.
• Work with authentication, headers, rate limits, and real-time APIs.
• Integrate APIs into dashboards, web apps, and automation workflows.
• Build a project from idea : working product.

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This repository can be followed like a self-paced course for mastering modern API workflows, from fundamentals to building portfolio-ready applications.

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📜 License

Licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) — free for personal and educational use.