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28 followers · 87 following

Achievements

Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: Pull Sharkx3Achievement: StarstruckAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

Achievements

Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: Pull Sharkx3Achievement: StarstruckAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

Organizations

@VineForecast

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pjpetersik/README.md

Hi, I'm Paul 👋

I'm a founder, scientist, and engineer working at the intersection of software, machine learning, and environmental data.

My background is in meteorology and climate physics, and over the past years I have been working on data-driven tools that help turn complex environmental information into practical decisions.

About me

  • Co-founder of VineForecast, where we build decision-support tools for wineries
  • Strongest in Python, scientific computing, and machine learning
  • Experienced with Django and Django REST Framework for backend applications and APIs
  • Passion for weather-driven modelling and complex systems
  • Interested in geospatial data, Earth observation, climate tech, and applied AI

Pinned Loading

  1. vivcpy vivcpy Public

    Python package to retrieve passport data from the Vitis International Variety Catalogue (VIVC).

    Python 1

  2. django-channels-examples django-channels-examples Public

    Example Django apps that use Django channels

    Python

  3. neural-network-car-following-model neural-network-car-following-model Public

    Code for a car-following model that predicts the acceleration of a car for the next time step based on headway and velocity data.

    Python 34 8

  4. optimal_velocity_model optimal_velocity_model Public

    Code for an optimal velocity model (OVM) and a multiple car following (MCF) model

    Jupyter Notebook 11 3

  5. ninolearn ninolearn Public

    NinoLearn is a research framework for statistical ENSO prediction.

    Jupyter Notebook 10 8

  6. cellular_automata_epidemics.jl cellular_automata_epidemics.jl
    1 
    using StatsBase
    2 
    using Plots
    3 
    
              
    
              
    
                4
                
    nt = 500
    
              
    
              
    
                5
                
    nx = 200
    
              
    
          
    
    
    
  
    

    7.