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Project Pythia Profile
Project Pythia

@Project_Pythia

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A community educational resource for the Python Geoscience Software and Data Ecosystem. Inspired by @pangeo_data. Funded by @NSF.

Joined July 2021
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@Project_Pythia
Project Pythia
9 months
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@Project_Pythia
Project Pythia
9 months
Project Pythia would not exist without community contributions like this one. Interact with real coursework and geo data from students and research partners at TU Wien @geodepartment and @EODC_GmbH in this brand new Earth Observation Data Science Cookbook! Link in thread ⤵️
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@Project_Pythia
Project Pythia
11 months
At @ametsoc annual meeting? Have questions about your work or data and computing in geoscience? Pythia contributors are staffing the @ESIPfed Data Help Desk at the AMS booth right now to answer questions. Stop by before 11 am!
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@Project_Pythia
Project Pythia
1 year
We're so appreciative of the resources provided by @NSF @ACCESSforCI via @jetstream_cloud for users and contributors to https://t.co/vWro3WErFG!
@nywxguy
Kevin Tyle
1 year
#OpenInfra NAm begins tomorrow! I'm excited to show how @ProjectPythia serves reproducible Jupyter notebooks on @Jetstream_cloud, thanks to the pioneering work of @andreazonca of @SDSC_UCSD! @openinfra_dev
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@Panel_org
Panel
1 year
Want inspiration for you next data or science application? Check out the @HoloViz_org gallery https://t.co/Gsv69eOwmr #python #dataviz #datascience
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@kylebarron2
Kyle Barron kylebarron.dev on bsky
1 year
New blog post in collaboration with @ncclementi on using Ibis + DuckDB + Lonboard for analyzing and visualizing large geospatial data https://t.co/fx2v4ltQ3P
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@Project_Pythia
Project Pythia
1 year
Please join us at noon Eastern for today's Pangeo Showcase! Brian Rose will present "Project Pythia Cookbooks: challenges and progress in breaking down barriers to Open Science".
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discourse.pangeo.io
Title: “Project Pythia Cookbooks: challenges and progress in breaking down barriers to Open Science” Invited Speaker: Brian Rose (ORCID: 0000-0002-9961-3821) When: Wednesday, October 02, 2024 at 12...
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@Project_Pythia
Project Pythia
1 year
We're MyST-ifying our Pythia Cookbooks during #SciPy2024 Sprint Day (with help from the adjacent @curvenote and @2i2c_org sprinters) @SciPyConf @MystMarkdown
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@Project_Pythia
Project Pythia
1 year
Pythia is at #SciPy2024! Come check out our hybrid poster TODAY where we talk about the incredible 2024 Pythia Hackathon as a tool for bringing scientists into our open source community ⚡
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@MystMarkdown
MyST Markdown
1 year
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@Project_Pythia
Project Pythia
2 years
May 26 is your final deadline to register for the limited remaining spots (virtual and in-person) of the 2024 Pythia Hackathon! https://t.co/KKpRGuy4SS Join our monthly Pythia Community Meeting with any hackathon questions you have tomorrow https://t.co/zQpyBUiYms
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@Project_Pythia
Project Pythia
2 years
This week, we'd like to highlight a cookbook that was developed during last year's Pythia Cook-off: the Sentinel-2 L2A Interactive Dashboard! Read it here: https://t.co/oi3UD6jBcA
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@choldgraf
Chris Holdgraf
2 years
This year at @SciPyConf you can submit your articles in @MystMarkdown , which will be rendered as beautiful MyST articles with lovely PDFs as well. It's a big step forward for making community publishing easier and more powerful at the same time.
@rowancockett
Rowan Cockett 🦋
2 years
The 2023 proceedings are just so beautiful. :) https://t.co/BXMKY1Np2R
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@Project_Pythia
Project Pythia
2 years
Our Binderhub instance is back online!
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@Project_Pythia
Project Pythia
2 years
Our Binderhub instance is temporarily offline due to ongoing maintenance issues on Jetstream2. We will re-enable the instance as soon as possible once Jetstream2 is back to normal operation. For an update on Jetstream2 status, please see https://t.co/jEcLanpf9f .
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@Project_Pythia
Project Pythia
2 years
Our April community meeting is tomorrow at 12:00 Noon EDT (10 AM MDT, 1600 UTC). We'll be discussing plans for our June cookoff. Join us!
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@Project_Pythia
Project Pythia
2 years
This week, we would like to highlight the Landsat ML Cookbook! This cookbook covers the essential materials for working with Landsat data in the context of machine learning workflows. See it here: https://t.co/eM92Pbfw7s
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