All Projects → carpentrieslab → Python Aos Lesson

carpentrieslab / Python Aos Lesson

Licence: other
Python for Atmosphere and Ocean Scientists

Programming Languages

139335 projects - #7 most used programming language

Projects that are alternatives of or similar to Python Aos Lesson

Python for Atmosphere and Ocean Scientists
Stars: ✭ 78 (+59.18%)
Mutual labels:  programming, version-control, geospatial, geoscience, versioning, english, data-visualisation, lesson
Git Novice
Version Control with Git
Stars: ✭ 227 (+363.27%)
Mutual labels:  versioning, english, programming, lesson, version-control
R Raster Vector Geospatial
Introduction to Geospatial Raster and Vector Data with R
Stars: ✭ 76 (+55.1%)
Mutual labels:  english, lesson, geospatial, data-visualisation
Python Novice Gapminder
Plotting and Programming in Python
Stars: ✭ 109 (+122.45%)
Mutual labels:  english, programming, lesson, data-visualisation
R Novice Gapminder
R for Reproducible Scientific Analysis
Stars: ✭ 127 (+159.18%)
Mutual labels:  english, programming, lesson, data-visualisation
Python Ecology Lesson
Data Analysis and Visualization in Python for Ecologists
Stars: ✭ 116 (+136.73%)
Mutual labels:  english, lesson, data-visualisation
Make Novice
Automation and Make
Stars: ✭ 122 (+148.98%)
Mutual labels:  english, programming, lesson
Python Novice Inflammation
Programming with Python
Stars: ✭ 199 (+306.12%)
Mutual labels:  english, programming, lesson
R Ecology Lesson
Data Analysis and Visualization in R for Ecologists
Stars: ✭ 218 (+344.9%)
Mutual labels:  english, lesson, data-visualisation
Shell Novice
The Unix Shell
Stars: ✭ 234 (+377.55%)
Mutual labels:  english, programming, lesson
Data Wrangling and Processing for Genomics
Stars: ✭ 49 (+0%)
Mutual labels:  programming, english, lesson
Introduction to Conda for (Data) Scientists
Stars: ✭ 35 (-28.57%)
Mutual labels:  english, lesson, alpha
Programming with R
Stars: ✭ 142 (+189.8%)
Mutual labels:  english, data-visualisation, lesson
Programming with MATLAB
Stars: ✭ 26 (-46.94%)
Mutual labels:  programming, english, lesson
Lesson materials for an Introduction to High Performance Computing in the tradition of Software Carpentry
Stars: ✭ 123 (+151.02%)
Mutual labels:  english, lesson, alpha
Introduction to the Command Line for Genomics
Stars: ✭ 54 (+10.2%)
Mutual labels:  programming, english, lesson
A Carpentry style lesson on machine learning with Python and scikit-learn.
Stars: ✭ 22 (-55.1%)
Mutual labels:  english, lesson, alpha
AEC Interoperability for Unity through Speckle
Stars: ✭ 28 (-42.86%)
Mutual labels:  version-control, versioning
Data Cleaning with OpenRefine for Ecologists
Stars: ✭ 20 (-59.18%)
Mutual labels:  english, lesson
Visualize the evolution of a file tracked by git
Stars: ✭ 17 (-65.31%)
Mutual labels:  version-control, data-visualisation


Python for Atmosphere and Ocean Scientists

This repository contains the Data Carpentry lesson materials for a single day workshop on using python (and git) in the atmosphere and ocean sciences:

The lesson materials were initially written by Damien Irving based his experience teaching generic Software Carpentry workshops at the annual conference of the Australian Meteorological and Oceanographic Society (AMOS) from 2014-2017. They are now maintained and updated by the global community of qualified Carpentries instructors who work/study in the atmosphere and ocean sciences (see below).

The lesson materials have been used in the following workshops and university courses:

An overview of the development of the lesson materials and plans for the future was delivered during the Python Symposium at the 2020 Annual Meeting of the American Meteorological Society (see video recording).

Instructor community

Over the past few years, research disciplines such as ecology and genomics have established large communities of qualified Carpentries instructors. These communities collaboratively contribute to the ongoing maintenance and development of the Data Carpentry ecology and genomics lesson materials and have delivered dozens of workshops around the world.

Now that an initial set of PyAOS lesson materials has been developed, tested and published, the goal is to grow the PyAOS instructor community:

  • Damien Irving (Climate Change Research Centre, University of New South Wales)
  • Sarah Murphy (Washington State University)
  • Holger Wolff (ARC Centre of Excellence for Climate Extremes, Monash University)
  • Kathy Pegion (Department of Atmospheric Oceanic and Earth Sciences, George Mason University)
  • Elizabeth Dobbins (College of Fisheries and Ocean Sciences, University of Alaska Fairbanks)
  • Alma Castillo (Scripps Institution of Oceanography, UC San Diego)
  • Claire Trenham (Climate Science Centre, CSIRO)
  • Romina Mezher (Instituto Nacional de Tecnología Agropecuaria)

If you work or study in the atmosphere and ocean sciences and would be interested in getting involved, please reach out by creating an issue in this repository.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].