jupyter
Projects with this topic
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La spécialité NSI (Numérique et Sciences Informatiques) au Lycée Clemenceau à Nantes.
Des cours de première NSI, essentiellement structurés sur des notebooks Jupyter.
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Lorenzo Rottigni's Jupyter storage automatically synchronized with jupyterhub.rottigni.tech, ensuring versioned tracking of all changes.
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Example notebooks to demo functionality of the Twi-XL API.
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This nbextension allows to select occurences of the selected text in the currently active cell.
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Python Data Science is an open source project providing guidance on python (and selectively R, Julia) packages relevant for data science tasks
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CSE111 ZAD Sec-01 GroupProject: BookStore
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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
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Jupyter Notebook server proxied with Nginx in Ubuntu docker machine
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World's lightest toolkit to quickly and easily add a GUI to your Python programs and bring them online.
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Examples using my Qahirah binding for Cairo in Jupyter/IPython notebooks
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Maintenance of downstream RPi devices for quasi-continuous data acquisition.
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This jupyter notebook goes through how to use python in you data analysis. Mainly analysis of experiments, such as peak analysis and curve fitting.
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School project. made a predicter for the next year app sales on google play.
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Ingenieria, ciencia y visualización de Datos con Python y Jupiter Notebook
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Python-based personal organizer for taking notes and storing them in encrypted format. If an own webserver is available, notes can be saved to the webserver.
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Repositorio de trabajos prácticos de la materia Teoría de los Circuitos 1.
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This work is focused on the prediction of customer departures in telecommunications through data analysis. Departures in telecommunications are a relatively common issue, and if potential customers were detected much earlier, their departure could be prevented in many cases. Our work's mission was to predict such customers' departures by using data analysis and by creating decision models. The eventual model will determine which customers are potentially risky and how big the risk is.
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Python Web Conference 2022 Let's Forget About Excel: Conda + Jupyter + Pandas to Leave Office Behind
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