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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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.
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Leonardus is an open source project. It is a minimalist, stack-based programming system designed as a flexible framework for implementing and exploring algorithms. The syntax and semantics of its scripting language, LeoScript, are inspired by PostScript and Forth. It is extended with a prototype-based, object-oriented paradigm, has seamless integration into JupyterLab and Docker, and provides a concise and expressive environment for learning and experimentation.
The project name is a nod to Leonardus Pisanus, who was named and became known as Fibonacci.
Consult the project's GitLab Pages for documentation.
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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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Plática "Olvidate de Excel, bienvenido pandas" en Nerdearla México 2024 del 2024-11-07. https://nerdear.la/en/agenda/olvidate-de-excel-bienvenido-pandas/
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Maintenance of downstream RPi devices for quasi-continuous data acquisition.
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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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This is a jupyter notebook (in Swedish) where error propagation and confidence interval handling of data is explained. It includes some examples and assignments.
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Install/configure script for CCNY Hub (2nd generation). Uses JupyterHub and FreeIPA, along with several other tools.
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Playground to get started with training NN on azure cloud
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My public knowledge base, notes, and website at https://pedroasad.com
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Ingenieria, ciencia y visualización de Datos con Python y Jupiter Notebook
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