Technical Notes

Deep dives into ML concepts, tutorials, and learning resources

A collection of technical notes, tutorials, and explorations covering LLMs, data science, machine learning, and data visualization. These are my personal learning notes, shared publicly in case they help others.

Date Title Categories
Jan 5, 2026 Async Python Basics Python, Engineering
Jan 4, 2026 FastAPI + Long Polling for Streaming Engineering, Python
Jan 4, 2026 Claude Code Cheatsheet LLM, CLI, Productivity
Jan 3, 2026 Server-Sent Events (SSE) with Python Python, LLM, FastAPI
Dec 30, 2025 DeepAgent Lab: LangChain Agents in JupyterLab LLMs, Tools, Jupyter
Dec 30, 2024 The Book of Why: A Summary of Judea Pearl’s Causal Revolution ML, Books
Feb 8, 2022 Change timezone of Python datetime objects Data engineering
Dec 19, 2021 Using FastAPI to Deploy ML Models MLOps
Jun 9, 2021 Pytest for testing Data engineering
Jun 6, 2021 Automated EDA with Pandas Profiling Data visualization
Jun 6, 2021 Using Huggingface for Extractive Q&A ML
Jun 5, 2021 Q&A on Tabular Data with Huggingface ML
May 30, 2021 Connect Google VM to VS Code Data engineering
May 23, 2021 Create Fake Data with Faker Data engineering
May 23, 2021 Build a local Python package  
May 23, 2021 Build a local Python package Data engineering
May 3, 2021 Interactive Pivot Table in Jupyter Notebook Data visualization
Feb 22, 2021 Install Python 3 on Ubuntu Data engineering
Feb 22, 2021 Open Jupyter Lab on Google Cloud VM Data engineering
Jan 3, 2021 Object Detection with Hugging Face Transformers ML
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