python-bootcamp

Big picture:

What's right for the people?
Types represent what the people want. They must be correct. Only money should be money.
Types must also be precise enough to do the job.
You must keep their data secure, with trustable integrity.

Introductions
The importance of literate coding https://en.wikipedia.org/wiki/Literate_programming Who is your audience, who isn't your audience, what do they want? What do they really want? Applied nemawashi.
Type systems and human limitations

diameter = 10
pi = 3.14159
length = diameter * pi

Strong vs weak typing
Implicit return values
Breaking down code: 1) what is the input and its types? 2) what is the output type? 3) check the arguments
Interlude: C, how older machines worked, godbolt.com
The importance of data integrity in addition to security
"Big data", Excel bugs
Security implications: https://cwe.mitre.org/data/definitions/136.html
http://www.hustlelabs.com/stuff/bh2009_dowd_smith_dewey.pdf
Differences between academic research and online research, arxiv, convention standards
LaTeX

Reading notes:

Unicode characters are bad when it comes to input data, and must be filtered appropriately using tools like the unicodedata module. account_balance = "🐶" could take down a bank.

Note that python code is also data, and tricks like character encoding confusion can be used to hide code in third-party modules which the Python interpreter will happily execute.

Whitespace to describe block scope via indentation in Python is a clever way to take advantage of the brain's natural hardware to see blank areas, because in combination with movement, it uses that hardware to help you duck when something's coming toward you at high speed.