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πŸ“š Code Lab: Flask/NestJS APIs β€’ Python ETL β€’ Web Scraping β€’ DBs β€’ Algorithms β€’ Diverse tech stack experiments.

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Tech Stack Mastering πŸš€

This repository is a personal collection of projects, exercises, and practice code across multiple programming languages and technologies. The content varies from isolated coding challenges to small projects, serving as a record of my learning journey in web development, databases, algorithms, and more.


πŸ“¦ Repository Contents

Languages & Technologies

  • JavaScript: Exercises, mini-projects, and concept implementations.
  • Python: Scripts, automation, and algorithmic challenges.
  • SQL: Query practice, database design, and optimization examples.
  • Web Development: HTML/CSS snippets, front-end experiments, and full-stack demos.
  • Algorithms: Implementations of common data structures and problem-solving techniques.

Structure

techstackmastering/  
β”œβ”€β”€ adv-langs/        # JS challenges, Python scripts and tools, Database queries and schemas  
β”œβ”€β”€ books_api/        # Layered Architecture Flask API, that consumes books data from a openlibrary's public API and stores data inside supabase     
β”œβ”€β”€ chatbot/          # a tiny chatbot practice code, that has already scaled to whole new level of LLM integration inside a private repo      
β”œβ”€β”€ etl-linkedin/     # Python based project that executes ETLs over csv files to store data inside a local postgres DB
β”œβ”€β”€ job-finder/       # A complete linkedIn jobs data web scrapper 
└── nestjs-rest-api/  # A complete practice over NestJS backend framework

🎯 Purpose

  • Learning Hub: Track progress across diverse tech stacks.
  • Code Reference: Revisit solutions or patterns for future projects.
  • Experimentation: Safe space to test new tools/libraries.

πŸ›  Usage Notes

  • No Dependencies: Projects are self-contained; navigate by folder.
  • Varying Complexity: Ranges from beginner exercises to advanced demos.
  • Work in Progress: Some sections may be incomplete or iterative.

🀝 How to Navigate

  1. Browse directories by topic (e.g., sql/ for databases).
  2. Check individual README.md files in subfolders for context.
  3. Use as inspiration or referenceβ€”adapt freely!

πŸ“¬ Feedback

Open an Issue for questions/suggestions about specific projects. Contributions are welcome for bug fixes or improvements!

Happy coding! πŸ’»


Key Features:

  • Clear hierarchy with bold sections and concise lists.
  • Universal tone: Professional yet approachable for collaborators.
  • Modularity: Easy to update individual sections (e.g., add new tech stacks).
  • Call to action: Encourages engagement without pressure.

Let me know if you'd like to emphasize any specific projects or add a license/collaboration guide!

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πŸ“š Code Lab: Flask/NestJS APIs β€’ Python ETL β€’ Web Scraping β€’ DBs β€’ Algorithms β€’ Diverse tech stack experiments.

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