Foundations of Numerical Computing

This repository contains lecture slides, exercises, and deployment scripts for
Foundations of Numerical Computing, a tutorial given by Scott Sanderson at
PyCon 2018.

You try the lecture and exercise notebooks on binder
by clicking the button above.

The materials in this repository are organized as follows:

• Lecture.ipynb
  contains the notebook used by the presenter during the lecture sections of
  the tutorial.

• Finding Functions and
  Documentation.ipynb
  is a notebook used as a warmup exercise to get students comfortable with
  Jupyter. It shows you how to use np.lookfor to search Numpy by keyword, and
  it shows you how to read function documentation using Jupyter's ? operator.

• Creating and Reshaping
  Arrays
  contains exercises that teach students how to create and reshape arrays.

• Universal Functions
  contains exercises that teach students how to use Numpy's universal functions.

• Selections
  contains exercises that teach students how to use the ndarray [] operator
  to select data.

• Reductions
  contains exercises that teach students how to apply reduction functions like
  min, max, and min across arrays.

• Broadcasting
  contains exercises that teach students how to use broadcasting in conjunction
  with the other techniques shown during the tutorial.

Each notebook also has an associated (Solutions) notebook that contains worked
solutions for each of the exercises.