Moritz Schubert (mcnoat)

mcnoat

Geek Repo

Location:Germany

Twitter:@mcnoat

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Moritz Schubert's starred repositories

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grasp-principles

GRASP Design Principles - Implemented in Python

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obsidian-slides-extended

Create markdown-based reveal.js presentations in Obsidian

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beartype

Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.

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awesome-polars

A curated list of Polars talks, tools, examples & articles. Contributions welcome !

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powerbi-desktop-samples

Power BI Desktop sample files for the monthly release. Here you can find the PBIX files used in the monthly release videos.

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python-best-practices-cookiecutter

Python best practices project cookiecutter 🍪

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numpy

The fundamental package for scientific computing with Python.

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bcitoolbox

A package for Bayesian causal infe

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gitignore

A collection of useful .gitignore templates

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ruff

An extremely fast Python linter and code formatter, written in Rust.

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pre-commit

A framework for managing and maintaining multi-language pre-commit hooks.

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nb_conda_kernels

Package for managing conda environment-based kernels inside of Jupyter

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awesome

😎 Awesome lists about all kinds of interesting topics

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py2mojo

Automated Python to Mojo code translation

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trash-cli

Command line interface to the freedesktop.org trashcan.

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jmespath.py

JMESPath is a query language for JSON.

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GitPython

GitPython is a python library used to interact with Git repositories.

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freezegun

Let your Python tests travel through time

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mkdocs

Project documentation with Markdown.

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mkdocs-material

Documentation that simply works

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workshop_webdesign

Website for the NOWA workshop on "Web-Design for Scientists"

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attrs

Python Classes Without Boilerplate

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wtfpython

What the f*ck Python? 😱

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tqdm

:zap: A Fast, Extensible Progress Bar for Python and CLI

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awesome-python

An opinionated list of awesome Python frameworks, libraries, software and resources.

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black

The uncompromising Python code formatter

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seaborn-data

Data repository for seaborn examples

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seaborn

Statistical data visualization in Python

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