How to best phase in Python?
It can check your answers every time something is changed:
```py
1+1
print(1+1)
x = 1 +1
print(x)
1+1 == True
print(1+1 == True)
assert 1+1 == True
print("It did not raise AssertionError")
assert 1+1 == False
print("This won't run, because AssertionError is an Exception, and control
flow is interrupted on Exception")
# %%
import unittest
test = unittest.TestCase()
test.assertEqual(1+1, 0)
```
We verify our assumptions about types and values of parameters and return
values at runtime; we check preconditions and post conditions.
I am reminded of camper_program.py from 2020:
https://mail.python.org/archives/list/edu-sig@python.org/message/OYZ2QPDYDFRV2PPJXEOHUTFWFPZVOCJO/
Maybe a good prompt to lock in that automated testing is much more
efficient than attempting to manually test everything after every change:
"Write your own test assertion library; starting with `def assertEqual(a,
b, msg)`"
On Sun, Jun 22, 2025, 1:19 PM kirby urner via Edu-sig <edu-sig@python.org>
wrote:
>
> From an educator's perspective, how to best phase-in Python is often a
> core question.
>
> One answer is: use it the same way you might use a calculator in the
> classroom, but show off why it's better.
>
> An example (new today) of what I share with my student and peer faculty,
> perhaps new to Python:
>
> https://github.com/4dsolutions/School_of_Tomorrow/blob/master/smod_play.py
>
> A mix of Python + geometric content already familiar to those using my
> curriculum.
>
> The docstring itself contains a link to the famous Using Python as a
> Calculator tutorial at the Python dot org site.
>
> Kirby
>
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