Day3

Contents:

• Numpy intro
  • Content:
  • Import numpy
  • Arrays
  • Create an array
  • Convert lists to arrays
  • Array attributes
  • Change type of the array
  • Indexing and slicing
  • Reshape an array
  • Math operations
  • Broadcasting
  • Mathematical attributes and functions
  • Creating arrays for masking
  • Array stacking
  • Shallow and deep copy
  • Most useful functions
  • Statistical functions
  • Read and write data from file
  • Read data from CSV file
  • Masking
  • Some hints
  • Difference between Numpy and Pandas
• xarray introduction I
• A) What is xarray?
  • A1) xarray’s data structure
• B) Preparation: Configure the Notebook
• C) xr.DataArray() Showcases and Exercises
• D) xr.DataDataset() Showcases and Exercises
• E) Indexing and slicing with xarray data: Showcases and Exercises
  • F) Save, open, and read files with xarray
  • G) Appendix