jupyter

This project focuses on extracting and visualizing stock data using Python libraries such as yfinance for historical stock prices and web scraping techniques to gather company revenue data. It provides a comprehensive analysis by plotting both stock prices and revenues over time for companies like Tesla and GameStop.

Adding ecore, python, jupyter support to/from Netcdf/thredds unidata ucar geoscience libraries as eclipse plugins

Inspired by e.g. GitHub ClassRoom, Travo is a lightweight Python toolkit that helps you turn your favorite GitLab instance into a flexible assignment management solution. It does so by automating steps in the assignment workflow through Git and GitLab's REST API.

La spécialité NSI (Numérique et Sciences Informatiques) au Lycée Clemenceau à Nantes.

Des cours de première NSI, essentiellement structurés sur des notebooks Jupyter.

Python Data Science is an open source project providing guidance on python (and selectively R, Julia) packages relevant for data science tasks

Study for implementing an automatic clave detection

Eclipse EASE Jupyter Kernels

Example notebooks to demo functionality of the Twi-XL API.

63-51 : Emerging Technologies / Benoit, Nohen, Thaddée

Lorenzo Rottigni's Jupyter storage automatically synchronized with jupyterhub.rottigni.tech, ensuring versioned tracking of all changes.

This nbextension allows to select occurences of the selected text in the currently active cell.

CSE111 ZAD Sec-01 GroupProject: BookStore

DluOne Data Composer for Data Engineering and Data Science

This is a repo with scripts for Data Science and Engineering quick start with docker

I'm using personally for my daily work and side projects

Jupyter Notebook server proxied with Nginx in Ubuntu docker machine

World's lightest toolkit to quickly and easily add a GUI to your Python programs and bring them online.

Examples using my Qahirah binding for Cairo in Jupyter/IPython notebooks

Maintenance of downstream RPi devices for quasi-continuous data acquisition.

This jupyter notebook goes through how to use python in you data analysis. Mainly analysis of experiments, such as peak analysis and curve fitting.