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On-demand

On-demand: Python for Hydrology and Hydrogeology (OD-21-3-012)


Description
Full course details can be found here:
https://awschool.com.au/training/live-course-python-for-hydrology-hydrogeology
Content
  • Pre-Course Preparation
  • Introduction
  • Pre-Course Survey
  • Pre-Course Readings & Recordings
  • Part 1: Data wrangling and multivariate exploratory data analysis
  • 01: Course introductions
  • 02: Preamble
  • 03: Importing cleaning data
  • 04: Importing cleaning data- PART 2
  • 05: Inserting variables in strings
  • 06: Multivariate data reading from Excel
  • 07: Exploratory data analysis
  • 08: Bringing in raster data
  • 09: Colors, Multivariate data analysis, session wrap-up
  • Part One Survey
  • Exercise + preparation for Part 2
  • Part 2: Time series analysis
  • 10: Import Packages | Create default plotting function for time domain plots
  • 11: Data wrangling for time series data | Gap filling
  • 12: Resampling
  • 13: Detrending
  • 14: Interpreting responses to time-lagged signals
  • 15: Convolution and Deconvolution
  • 16: Identifying responses to periodic signals
  • 17: Example application: Estimation of aquifer specific storage
  • 18: Q&A and next session
  • 19: Example from Kyle Thompson
  • Part Two Survey
  • Part 3: Data visualisation
  • Part Three Preparation
  • 20: Part 3 Introduction
  • 21: Three dimensional plotting using matplotlib
  • 22: Exercise1: Colour well lines
  • 23: Add map and Exercise 2
  • 24: Animation
  • 25: Animation and Exercise 3: Updating Frames
  • 26: Optimisation Exercise 4: pandas read_excel
  • 27: Optimisation: lmfit
  • 28: Linking with Google Earth
  • 29: Course Wrap-up
  • Post Course exercise & wrap-up
  • 30: Geopandas exercise
  • Final Feedback Survey
  • Quiz (complete to receive certificate)
Completion rules
  • All units must be completed
  • Leads to a certification with a duration: Forever