A Hands On Introduction To Using Python In The Atmospheric And Oceanic Sciences


Download A Hands On Introduction To Using Python In The Atmospheric And Oceanic Sciences PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get A Hands On Introduction To Using Python In The Atmospheric And Oceanic Sciences book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.

Download

A Hands-On Introduction to Using Python in the Atmospheric and Oceanic Sciences


A Hands-On Introduction to Using Python in the Atmospheric and Oceanic Sciences

Author: Johnny Wei-Bing Lin

language: en

Publisher: Lulu.com

Release Date: 2012


DOWNLOAD





This book is a mini-course for researchers in the atmospheric and oceanic sciences. "We assume readers will already know the basics of programming... in some other language." - Back cover.

An Introduction to Python Programming for Scientists and Engineers


An Introduction to Python Programming for Scientists and Engineers

Author: Johnny Wei-Bing Lin

language: en

Publisher: Cambridge University Press

Release Date: 2022-07-07


DOWNLOAD





Textbook that uses examples and Jupyter notebooks from across the sciences and engineering to teach Python programming.

Earth Observation Using Python


Earth Observation Using Python

Author: Rebekah B. Esmaili

language: en

Publisher: John Wiley & Sons

Release Date: 2021-08-24


DOWNLOAD





Learn basic Python programming to create functional and effective visualizations from earth observation satellite data sets Thousands of satellite datasets are freely available online, but scientists need the right tools to efficiently analyze data and share results. Python has easy-to-learn syntax and thousands of libraries to perform common Earth science programming tasks. Earth Observation Using Python: A Practical Programming Guide presents an example-driven collection of basic methods, applications, and visualizations to process satellite data sets for Earth science research. Gain Python fluency using real data and case studies Read and write common scientific data formats, like netCDF, HDF, and GRIB2 Create 3-dimensional maps of dust, fire, vegetation indices and more Learn to adjust satellite imagery resolution, apply quality control, and handle big files Develop useful workflows and learn to share code using version control Acquire skills using online interactive code available for all examples in the book The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals. Find out more about this book from this Q&A with the Author