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This repository contains short tutorials on Python, git, and using Earth Science datasets. If you're new to coding, this is a good place to start before attending an upcoming workshop.

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Short Tutorials for New Coders / Remote Sensing Scientists

This repository contains a collection of guides and tutorials on:

  • 🐍 Python – Data analysis, visualization, and scripting.
  • 🌍 Earth Sciences – Remote sensing, geospatial data processing, and environmental modeling.
  • πŸ”§ GitHub – Version control, collaboration tips, and automation.

β”œβ”€β”€ πŸ’» access_cloud_data.ipynb: Great for first timers, this goes through basic python commands. β”œβ”€β”€ πŸ’» git_first_timers.md: Here is a git 101 for folks new to version control! β”œβ”€β”€ πŸ’» access_cloud_data.ipynb: Want to access NOAA data from the cloud? Start here! β”œβ”€β”€ πŸ“ orbits: A quick intro to Pandas, plotting, and satellite drift β”‚ β”œβ”€β”€ orbits.ipynb β”‚ β”œβ”€β”€ data/ β”‚ └── ... β”œβ”€β”€ πŸ“ Quick Guides: Primarilly about the NUCAPS dataset, geared towards weather forecasters β”‚ β”œβ”€β”€ NUCAPS-QF-quick-guide.pdf: Understanding quality flags in the NUCAPS datatset β”‚ β”œβ”€β”€ NUCAPS-cloud-frac-quick-guide_final.pdf: How to use the cloud fraction field in the NUCAPS datatset β”‚ β”œβ”€β”€ QuickGuide_Display_NUCAPS_SHARPpy.pdf: How to display NUCAPS in the SHARPpy sounding display tool! β”‚ β”œβ”€β”€ procedures_cquick_guide.pdf: How to display NUCAPS in AWIPS └── README.md

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This repository contains short tutorials on Python, git, and using Earth Science datasets. If you're new to coding, this is a good place to start before attending an upcoming workshop.

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