This required course will introduce some common methods on climate/weather data processing via Python.
The purposes of this course are (1) to guide students on how to get the information from climate/weather datasets by data visualization, (2) to use this information to finalize their own narrative.
The course not only introduces the methods of data processing, some basic idea of atmospheric science and concepts on the origin of these data will also mention in this course.

Following these ideas, the classes of this course will divide into three-stage.
● First-stage (Week 2-Week 5): Introduction and Basic Syntax of Python
● Second-stage (Week 6-Week 14): Reproduce/Rewrite some exiting codes
● third-stage(Week 15-Week 17): Final report (individual)
We would adjust this schedule based on students' feedback during the semester.