LTPy - Learning tool for Python on Atmospheric Composition

Jupyter Notebook Python Submitted 29 January 2021Published 08 February 2023
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Editor: @ashleefv (all papers)
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Authors

Julia Wagemann (0000-0002-3075-2559), Sabrina H. Szeto (0000-0002-3050-837X), Simone Mantovani (0000-0003-3979-3645), Federico Fierli (0000-0001-9975-2883)

Citation

Wagemann et al., (2023). LTPy - Learning tool for Python on Atmospheric Composition. Journal of Open Source Education, 6(60), 172, https://doi.org/10.21105/jose.00172

@article{Wagemann2023, doi = {10.21105/jose.00172}, url = {https://doi.org/10.21105/jose.00172}, year = {2023}, publisher = {The Open Journal}, volume = {6}, number = {60}, pages = {172}, author = {Julia Wagemann and Sabrina Szeto and Simone Mantovani and Federico Fierli}, title = {LTPy - Learning tool for Python on Atmospheric Composition}, journal = {Journal of Open Source Education} }
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ISSN 2577-3569