MarcSkovMadsen/notes

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Created over 2 years ago
Updated over 2 years ago

MarcSkovMadsen/notes

MarcSkovMadsen

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awesome-streamlit

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

dataviz-in-python

A repository used to provide an introduction to dataviz in Python

panel-sketch

awesome-analytics-apps-template

This starter will get you up and running in no time building your own custom site similar to awesome-panel.org

Jupyter Notebook

pydata-london-2022

Jupyter Notebook

data-app-performance

data_models_analytics

A description of and ready to use version of my data, models and analytics paradigm

paithon

🧠 Make your AI models interactive in no time.

awesome-analytics-apps

A repository for sharing knowledge and resources on awesome analytics apps in python

Jupyter Notebook

load-forecasts

Simple project for using weather data to forecast loads

Jupyter Notebook

panel-components

A repository of components for Panel

panel-pyodide-experiments

A repository for experimentation with Panel and Pyodide/ Pyscript

vs-code-invoke-tasks-package

This is an example of an invoke tasks package. It's used to discuss how to improve the vs code Invoke extension. See https://marketplace.visualstudio.com/items?itemName=dchanco.vsc-invoke&ssr=false#qna

data-app-converter

This project makes it easy to convert Streamlit data apps to Panel data apps

panel-fly-io

Repository demonstrating how to deploy to fly.io

panel-ai

🧠 Paithon. Explore and share your Python Models in no time.

datamodelsanalytics.com

Data, models and analytics website

panel-visuals

A repository of short, visual videos great for communication

panelfordatapps

Jupyter Notebook

pydata-london-2022-assets

Repository for storing assets for PyData London 2022

param-mypy-plugin

A mypy plugin for HoloViz Param

awesome-pyscript

param-stubgen

The param-stubgen can create type stubs for Param Parameterized classes. This enable mypy and other static type analysis tools to check your code. This enables VS Code to deeply understand your code.

panel-hiplot