#85 Visually debugging your Jupyter notebook
Python Bytes - Podcast tekijän mukaan Michael Kennedy and Brian Okken - Maanantaisin
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Sponsored by DigitalOcean: pythonbytes.fm/digitalocean
Brian #1: the state of type hints in Python
- “Therefore, type hints should be used whenever unit test are worth writing.”
- Type hints, especially for function arguments and return values, help make your code easier to read, and therefore, easier to maintain.
- This includes refactoring, allowing IDEs to help with code completion, and allow linters to find problems.
- For CPython
- No runtime type inference happens.
- No performance tuning allowed.
- Of course, third party packages are not forbidden to do so.
- Non-comment type annotations are available for functions in 3.0+
- Variable annotations for 3.6+
- In 3.7, you can postpone evaluation of annotations with:
from
__future__
import annotations - Interface stub files
.pyi
files, are allowed now, but this is extra work and code to maintain.- typeshed has types for standard library plus many popular libraries.
- How do deal with multiple types, duck typing, and more discussed.
- A discussion of type generation and checking tools available now, including mypy
- See also: Stanford Seminar - Optional Static Typing for Python - Talk by Guido van Rossum
- Interesting discussion that starts with a bit of history of where mypy came from.
Michael #2: Django MongoDB connector
- Via Robin on Twitter
- Use MongoDB as the backend for your Django project, without changing the Django ORM.
- Use Django Admin to access MongoDB
- Use Django with MongoDB data fields: Use MongoDB embedded documents and embedded arrays in Django Models.
- Connect 3rd party apps with MongoDB: Apps like Django Rest Framework and Viewflow app that use Django Models integrate easily with MongoDB.
- Requirements:
- Python 3.6 or higher.
- MongoDB 3.4 or higher.
- Example
inner_qs = Blog.objects.filter(name__contains='Ch').values('name')
entries = Entry.objects.filter(blog__name__in=inner_qs)
Brian #*3: Python Idioms: Multiline Strings*
- or “How I use dedent”
- Example:
def create_snippet():
code_snippet = textwrap.dedent("""\
int main(int argc, char* argv[]) {
return 0;
}
""")
do_something(code_snippet)
Michael #4: Flaskerizer
- A program that automatically creates Flask apps from Bootstrap templates
- Bootstrap templates from websites like https://Bootstrapmade.com/ and https://startBootstrap.com are a fast way to get very dynamic website up and running
- Bootstap templates typically don't work "out of the box" with the python web framework Flask and require some tedious directory building and broken link fixing before being functional with Flask.
- The Flaskerizer automates the necessary directory building and link creation needed to make Bootstrap templates work "out of the box" with Flask.
- Queue black turtleneck!
Brian #*5: Learn Python the Methodical Way
- From the article:
- Make your way through a tutorial/chapter that teaches you some discrete, four-to-six-step skill.
- Write down those steps as succinctly and generically as possible.
- Put the tutorial/chapter and its solutions away.
- Build your project from scratch, peeking only when you’re stuck.
- Erase what you built.
- Do the project again.
- Drink some water.
- Erase what you built and do it again.
- A day or two later, delete your work and do it again – this time without peeking even once.
- Erase your work and do it again.
- The notion of treating code like you treat creative writing with rough drafts and sometimes complete do-overs is super liberating.
- You’ll be surprised how fast you can do something the second time, the third time, the fourth time. And it’s very gratifying.
Michael #6: PixieDebugger
- The Visual Python Debugger for Jupyter Notebooks You’ve Always Wanted
- Jupyter already supports pdb for simple debugging, where you can manually and sequentially enter commands to do things like inspect variables, set breakpoints, etc.
- Check out the video to get a good idea of its usage: https://www.youtube.com/watch?v=Z-tPeEkVqjk