Python Climate Visuals#
Welcome! ๐
About the logo โจ
- A skyline (Marina Bay Sands) and a landmark (Merlion) of a garden city (Singapore);
- An unseen climate change signal revealed by warming stripes illustrating Singapore's historical (1901-2020) temperature;
- A tag line (Python Climate Visuals) along with its acronym (pyCIVIL) indicating book contents and targeted readers.
Learning outcomes ๐งฐ
Tutorials of this module will cover the following key skills that we think should be in civil and environmental engineersโ toolbox:
- Data manipulation (cleaning, mining and wrangling)
- Data visualisation (beautiful and informative graphics)
- Basics of probability and statistics
- Exploratory analysis on Earth and Environmental data
- Tabular data: rows and columns (e.g., Excel spreadsheet)
- Gridded data: multidimensional numerical arrays (e.g., raster)
- Scientific Python and modern data science software
- And others
Work in progress ๐ง
Please note that this book website is still under active development. Contents will be added and updated frequently throughout the course. Your comments to improve the book are highly welcome!
Citation โ๏ธ#
If you find this book useful, please cite it via:
@book{he-2021-pyCIVIL,
title={Python Climate Visuals (pyCIVIL)},
author={Xiaogang He},
url={https://xiaoganghe.github.io/python-climate-visuals},
year={2021},
publisher={WWW}
}
Acknowledgement ๐#
This book project would not have been possible without the contribution of the following (list alphabetically):
Haoling Chen
Meilian Li
Xinyue Liu
Zhanwei Liu
Zhixiao Niu
Huimin Wang
The contents of this book are licensed for free consumption under the following license: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).