4-Numpy material structure

[s-weigand]

Lets make this a kind of checklist, which aspects/functions/methods of numpy should be thought in what order (#4 helps me a lot to write the python material).

[s-weigand]

We should at least teach all that is on the cheatsheet. Besides file IO maybe, since we will do that in the pandas chapter. Where numpy can shine in file IO, is reading binary formats with a set spec, but that is too advanced for now I guess.

@redbluee Since you are the author of that chapter, can you make a checklist we can discuss?

[redbluee]

Yes i can prepare like a checklist. should be there till this weekend.

[redbluee]

Using NumPy

• [ ] What is NumPy?
• [ ] Data types
• [ ] Creating arrays
• [ ] Arrays attributes
• [ ] Subsetting, Slicing, Indexing
• [ ] Array Manipulation
• [ ] Array Mathematics
  • [ ] Arithmetic operations
  • [ ] Matrices operations
  • [ ] Comparison
  • [ ] Aggregate Functions
• [ ] Sorting arrays
• [ ] Copying arrays
• [ ] Best of all with Matplotlib

[redbluee]

@s-weigand

I've updated the contents list, pls check and approve/request changes. Thx!

[s-weigand]

Looks nice :smile:

[s-weigand]

Maybe reading binary formats would be also interesting i.e. generated from Fortran. Reading plain text will be explained in the pandas chapter, no need to teach the numpy version.

[redbluee]

Maybe reading binary formats would be also interesting i.e. generated from Fortran. Reading plain text will be explained in the pandas chapter, no need to teach the numpy version.

We can add this as a topic before

• [ ] Best of all with Matplotlib

, that would be my suggest for C-ordered/FORTRAN-ordered binary files.