Run stackql queries in GitHub Codespaces

📓 A GIT guide for beginners

📓 Open Source Software package manager

a notebook with python's framework flask

[강의노트] 드림코딩 아카데미 Git 마스터 과정

iNotebook – A secure note-taking app built with the MERN stack, featuring authentication, CRUD operations, and a clean responsive UI.

Collection of my graduate school machine learning activities, exercises, and homework solutions in Jupyter notebooks/Google Colab (ipynb files). This repository serves as a showcase of my learning progress and practical experience in various machine learning algorithms, techniques, and applications throughout my academic journey.

Invalid-Notebook-Solver is a Python tool designed to clean and rebuild Jupyter notebooks to ensure they are valid for platforms like GitHub. This tool addresses common issues with notebook compatibility and provides functionalities to add new code and markdown cells, and to save and rebuild notebooks while preserving cell outputs.

An analysis of Covid-19 data.

Using Github's issue tracker for generating meeting tasks report

My notebook for lessons from the QA Training Academy.

iNotebook is a user-friendly web application designed to help users effortlessly capture, organize, and manage their notes. Built with a robust technology stack including React for the frontend, Bootstrap for responsive design, and MongoDB for data storage.

Serves as both a quick reference and a learning resource for reviewing Git concepts at any time.

📓 Information about me

This is a course project for MIE1512. All the details of the project will be covered in the notebook itself.

Python scripts or notebooks of different implementation of small scale diffusion networks for prototyping and then experimented with different datasets.

This notebook will be mainly used for the capstone project

Tutorial notebooks on retrieving data, data processing, or other hydro applications

Personal notes for Python, Jupyter Notebook, IDEs, code editors, and version control

Jupyter Notebook analyzing GitHub repository metadata using Python, Parquet, Pandas, and DuckDB