DiscoverPython Bytes#164 Use type hints to build your next CLI app
#164 Use type hints to build your next CLI app

#164 Use type hints to build your next CLI app

Update: 2020-01-164
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Sponsored by Datadog: pythonbytes.fm/datadog



Michael #1: Data driven journalism via cjworkbench




  • via Michael Paholski

  • The data journalism platform with built in training

  • Think spreadsheet + ETL automation

  • Designed around modular tools for data processing -- table in, table out -- with no code required

  • Features include:

    • Modules to scrape, clean, analyze and visualize data

    • An integrated data journalism training program

    • Connect to Google Drive, Twitter, and API endpoints.

    • Every action is recorded, so all workflows are repeatable and transparent

    • All data is live and versioned, and you can monitor for changes.

    • Write custom modules in Python and add them to the module library




Brian #2: remi: A Platform-independent Python GUI library for your applications.




  • Python REMote Interface library.

  • “Remi is a GUI library for Python applications which transpiles an application's interface into HTML to be rendered in a web browser. This removes platform-specific dependencies and lets you easily develop cross-platform applications in Python!”

  • No dependencies. pip install git+https://github.com/dddomodossola/remi.git doesn’t install anything else.

  • Yes. Another GUI in a web page, but for quick and dirty internal tools, this will be very usable.

  • Basic app:



    import remi.gui as gui
from remi import start, App

class MyApp(App):
def __init__(self, *args):
super(MyApp, self).__init__(*args)

def main(self):
container = gui.VBox(width=120, height=100)
self.lbl = gui.Label('Hello world!')
self.bt = gui.Button('Press me!')
self.bt.onclick.do(self.on_button_pressed)
container.append(self.lbl)
container.append(self.bt)
return container

def on_button_pressed(self, widget):
self.lbl.set_text('Button pressed!')
self.bt.set_text('Hi!')

start(MyApp)


Michael #3: Typer




  • Build great CLIs. Easy to code.

  • Based on Python type hints.

  • Typer is FastAPI's little sibling. And it's intended to be the FastAPI of CLIs.

  • Just declare once the types of parameters (arguments and options) as function parameters.

  • You do that with standard modern Python types.

  • You don't have to learn a new syntax, the methods or classes of a specific library, etc.

  • Based on Click

  • Example (min version)



    import typer

def main(name: str):
typer.echo(f"Hello {name}")

if __name__ == "__main__":
typer.run(main)


Brian #4: Effectively using Matplotlib




  • Chris Moffitt

  • “… I think I was a little premature in dismissing matplotlib. To be honest, I did not quite understand it and how to use it effectively in my workflow.”

  • That very much sums up my relationship with matplotlib. But I’m ready to take another serious look at it.

  • one reason for complexity is 2 interfaces

    • MATLAB like state-based interface

    • object based interface (use this)


  • recommendations:

    • Learn the basic matplotlib terminology, specifically what is a Figure and an Axes .

    • Always use the object-oriented interface. Get in the habit of using it from the start of your analysis.

    • Start your visualizations with basic pandas plotting.

    • Use seaborn for the more complex statistical visualizations.

    • Use matplotlib to customize the pandas or seaborn visualization.


  • Runs through an example

  • Describes figures and plots

  • Includes a handy reference for customizing a plot.

  • Related: StackOverflow answer that shows how to generate and embed a matplotlib image into a flask app without saving it to a file.

  • Style it with pylustrator.readthedocs.io :)



Michael #5: Django Simple Task




  • django-simple-task runs background tasks in Django 3 without requiring other services and workers.

  • It runs them in the same event loop as your ASGI application.

  • Here’s a simple overview of how it works:

    1. On application start, a queue is created and a number of workers starts to listen to the queue

    2. When defer is called, a task(function or coroutine function) is added to the queue

    3. When a worker gets a task, it runs it or delegates it to a threadpool

    4. On application shutdown, it waits for tasks to finish before exiting ASGI server


  • It is required to run Django with ASGI server.

  • Example



    from django_simple_task import defer

def task1():
time.sleep(1)
print("task1 done")

async def task2():
await asyncio.sleep(1)
print("task2 done")

def view(requests):
defer(task1)
defer(task2)
return HttpResponse(b"My View")


Brian #6: PyPI Stats at pypistats.org




  • Simple interface. Pop in a package name and get the download stats.

  • Example use: Why is my open source project now getting PRs and issues?

  • I’ve got a few packages on PyPI, not updated much.

    • cards and submark are mostly for demo purposes for teaching testing.

    • pytest-check is a pytest plugin that allows multiple failures per test.


  • I only hear about issues and PRs on one of these. So let’s look at traffic.

    • cards: downloads day: 2 week: 24 month: 339

    • submark: day: 5 week: 9 month: 61

    • pytest-check: day: 976 week: 4,524 month: 19,636


  • That totally explains why I need to start actually supporting pytest-check. Cool.

  • Note: it’s still small.



Extras:




  • Comment from January Python PDX West meetup

    • “Please remember to have one beginner friendly talk per meetup.”

    • Good point.

    • Even if you can’t present here in Portland / Hillsboro, or don’t want to, I’d love to hear feedback of good beginner friendly topics that are good for meetups.


  • PyCascades 2020




    • discount code listeners-at-pycascades for 10% off


  • FireFox 72 is out with anti-fingerprinting and PIP - Ars Technica




Joke:



Language essays comic

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#164 Use type hints to build your next CLI app

#164 Use type hints to build your next CLI app

Michael Kennedy (@mkennedy)