Hacktoberfest is a month-long virtual festival event to celebrate open source contributions presented by Digital Ocean and DEV. It is the easiest way to get into open source!

Tron volume bot(TRX): Increase your token's volume by using multiple fresh generated wallets. SunSwap supported.

A universal solution for common needs in C++ in computer graphics software

This is a simple hotel reservation application built using Python and the Tkinter library. The application allows users to sign up, log in, and make hotel room reservations.

Python library for spheres in quantitative phase imaging

We examine two data sets relate with the music Industry. We Extract, transform and load the data sets in order to create a data base and identify insides and trends about the music Industry.

😶‍🌫️I'm not a geek, I just love swags

Just a tiny project

Participate in Hacktoberfest by contributing to any Open Source project on GitHub! Here is a starter project for first time contributors. #hacktoberfest

A simple and concise set of Python and Pandas functions for reading, analyzing, manipulating, and transforming data, complete with practical usage examples.

A simple crawly to get personal watched movies/series/animes from my user profile

Advent of Code is an Advent calendar of small programming puzzles for a variety of skill sets and skill levels that can be solved in any programming language you like

This project is a web scraper for extracting school test results from the NECTA website.

Docker を利用して Jupyter を構築する

This course will teach HTML, CSS, Command line, Version Control, Git, Python and JavaScript. Although it is introductory the projects included in this course helps reinforce the concepts learned. I especially like writing python scripts! See my projects website below =)

Academic project (individual) for "Data Science: Python", a curricular course attended throughout the fall semester of my second master's degree in Business Analytics at Hult International Business School.

A collection of projects that I work on using the Python programming language.

We going to examine two data sets relate with the music Industry. We want Extract, transform and load this in order to identify insides and trend about the music Industry.