Wrap-Up

Overview

Teaching: 20 min
Exercises: 0 min

Questions

• What have we learned?

• What else is out there and where do I find it?

Objectives

• Name and locate scientific Python community sites for software, workshops, and help.

Leslie Lamport once said, “Writing is nature’s way of showing you how sloppy your thinking is.” The same is true of programming: many things that seem obvious when we’re thinking about them turn out to be anything but when we have to explain them precisely.

Python supports a large and diverse community across academia and industry.

• The Python 3 documentation covers the core language and the standard library.

• PyCon is the largest annual conference for the Python community.

• SciPy is a rich collection of scientific utilities. It is also the name of a series of annual conferences.

• Jupyter is the home of Project Jupyter.

• Notebooks can be published and distributed. ex: Microsoft Azure cookbooks and how-to’s. Very similar to the environment that Sharon described.

• Notebooks can be collaboratorive.

• Pandas is the home of the Pandas data library.

• Stack Overflow’s general Python section can be helpful, as well as the sections on NumPy, SciPy, and Pandas.

Key Points

• Python supports a large and diverse community across academia and industry.