Watch Spreadsheet Engine with Formula Parsing | Python, FastAPI, Docker & DAG Explained Video Tutorial


Tutorial Details & Info

Tutorial Title: Spreadsheet Engine with Formula Parsing | Python, FastAPI, Docker & DAG Explained
Instructor / Channel: Tamada Vijay
Lesson Runtime: 26:02 Minutes
Publish Date: May 30, 2026
Total Students / Views: 36 views

Follow step-by-step with Spreadsheet Engine with Formula Parsing | Python, FastAPI, Docker & DAG Explained instructor Tamada Vijay. This full video course has a total duration of 26:02 minutes providing step-by-step visual instructions. Watch this video tutorial for free without any subscription or sign-up required.

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Course Description & Lesson Notes

Official Video Description:

🚀 Spreadsheet Engine with Formula Parsing In this video, I demonstrate a complete Spreadsheet Engine built from scratch using Python, FastAPI, and Docker. The project supports formula parsing, cell references, dependency tracking using DAG (Directed Acyclic Graph), automatic recalculation, and error handling similar to Google Sheets and Microsoft Excel. 📂 GitHub Repository: https://github.com/viswa-2003/Spreadsheet-Engine-with-Formula-Parsing 🎥 What You'll Learn: ✅ Running the application using Docker ✅ REST API development with FastAPI ✅ Formula Parsing and Evaluation ✅ Cell References (A1, B1, C1, etc.) ✅ Dependency Graph (DAG) ✅ Automatic Recalculation ✅ Circular Dependency Detection ✅ Error Handling (#DIV/0!, #REF!, #CYCLE!) ✅ Unit Testing with Pytest ✅ Project Architecture Walkthrough 🛠️ Tech Stack: • Python 3.11 • FastAPI • Docker & Docker Compose • Pytest • REST APIs • Graph Algorithms (DAG) 📌 Commands Used: Start Application: docker-compose up --build -d Check Status: docker-compose ps Health Check: curl http://localhost:8080/health Run Tests: docker-compose exec app pytest tests/ -v ⏰ Video Chapters: Introduction Docker Setup & Run Verify Application API Explanation Set & Get Cell Values Formula Evaluation Cell References Automatic Recalculation Error Handling Running Tests Project Architecture Stop Application Conclusion ⭐ Key Features: ✔ Formula Parsing ✔ Dependency Graph ✔ Automatic Updates ✔ Circular Reference Detection ✔ Error Handling ✔ Dockerized Deployment ✔ RESTful APIs ✔ Test Coverage 📈 Project Highlights: • 36+ Test Cases • Docker Support • Modular Architecture • Production Ready Design If you found this project helpful, please Like 👍, Share 🔄 and Subscribe 🔔. #Python #FastAPI #Docker #SpreadsheetEngine #BackendDevelopment #SoftwareEngineering #FormulaParser #DAG #RESTAPI #Pytest #Programming #CodingProjects #PythonProjects #OpenSource #GitHub Python FastAPI Docker Spreadsheet Engine Formula Parser DAG Dependency Graph Backend Project REST API Pytest Python Project Software Engineering Coding Project Open Source GitHub Project Docker Compose API Development Google Sheets Clone Excel Clone Programming

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Learn how to master Spreadsheet Engine With Formula Parsing | Python, FastAPI, Docker & DAG Explained with this comprehensive video tutorial guide. In this detailed walkthrough, you will gain step-by-step knowledge for Spreadsheet Engine With Formula Parsing | Python, FastAPI, Docker & DAG Explained.

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🎓 Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for Spreadsheet Engine with Formula Parsing | Python, FastAPI, Docker & DAG Explained taught by Tamada Vijay. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

💡 Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for Spreadsheet Engine with Formula Parsing | Python, FastAPI, Docker & DAG Explained.
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by Tamada Vijay with real-world examples.
  • Best Practices & Key Shortcuts: Time-saving workflows, keyboard shortcuts, and industry-standard recommendations.
  • Troubleshooting & Common Pitfalls: How to avoid common beginner errors and optimize your workflow for peak efficiency.

📋 Recommended Prerequisites & Study Notes:

No prior advanced experience is required. Follow along with the video player above on any desktop computer, tablet, or mobile device. Pause and rewind at key steps to practice along with the instructor.

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