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Coucou 👋 🌎

As a software engineer, it has been extremely rewarding for me to work across institutional and geographical boundaries to collaborate on research tools and software. I am currently employed by @CarbonPlan, a non-profit working on open data science tools and climate policy issues surrounding carbon removal and climate solutions.

Also, I am an advocate for and contributor to open-source software. In the scientific Python data ecosystem, I help maintain Xarray, dask-jobqueue, and a few other packages.

📝 Latest Blog Posts

More on blog.andersonbanihirwe.dev

🎥 Latest YouTube Videos

Package Management with conda | Episode 3 - Creating and accessing a new conda environment
Feb 2, 2021
Package Management with conda | Episode 1 - How to install conda on Cheyenne/Casper supercomputer
Feb 2, 2021
Package Management with conda | Episode 2 - Updating base environment & adjusting conda settings
Feb 2, 2021
Pangeo Use Case: Analyzing Initialized Climate Prediction System Datasets with climpred | CDPW 2020
Oct 20, 2020
Xarray Tutorial | xarray fundamentals
Oct 6, 2020

Santé 🥂 🍻

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Anderson Banihirwe's Projects

cv icon cv

Curriculum Vita / Resume

dash-docsets icon dash-docsets

My Dash (https://kapeli.com/dash) docsets. Live on the bleeding edge. Let the buyer beware ⚠️;)

dask icon dask

Parallel computing with task scheduling

dask-notebooks icon dask-notebooks

Dask tutorials for Big Data Analysis and Machine Learning as Jupyter notebooks

datatree icon datatree

WIP implementation of a tree-like hierarchical data structure for xarray.

esds icon esds

Repository for hosting material related to Earth System Data Science Initiative efforts

gcp icon gcp

My notes on GPC how to use various Google Cloud Platform services

google-code-jam icon google-code-jam

This is a collection of solutions I have written in various programming languages to solve Google Code Jam problems. For problem statements and input files, please see the Google Code Jam site (http://code.google.com/codejam)

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hires-cesm-dashboard icon hires-cesm-dashboard

Panel dashboards for diagnostics produced in [HiRes-CESM-analysis](https://github.com/marbl-ecosys/HiRes-CESM-analysis)

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