Ogaday

Python Kata by @nhumrich of the Pythondev Slack communtiy.

Write a function that takes in a string, and returns a string with everything inside curly brackets {} removed. Example: hello {world} returns hello {}. Example 2: {hello} {world} returns {} {}

Only submissions that DO NOT use regex will be accepted for taco's

tacos for: 1st, cleanest, shortest, fastest, my choice

nested doesn't count. So { hello {something} there} should return: {}

Ogaday

Dictionary puzzle of the week:

The objective is to write an expression or function that, given a dictionary in which each value is a list, transpose it so the result is list of dictionaries, where:

• The keys of each new dictionary are the same as the keys of the original dictionary
• The values of the ith dictionary correspond to the ith elements of the values of the original dictionary

If that doesn't make sense, here's an example:

# Input:

Ogaday

from datetime import datetime, timedelta
from typing import Iterator


def date_range(
    start: datetime,
    stop: datetime,
    step: timedelta
) -> Iterator[datetime]:
    """

Ogaday

Prefect on Dask on K8s

Intro

A "Hello, world!" Prefect flow running on an ephemeral Dask Cluster on Kubernetes.

The Prefect Core docs suggest running flows on a Dask cluster via Dask Distributed and an article from the MET Office Informatics Lab demonstrates running an adaptive Dask cluster on k8s. This example is inspired by those sources, as well as the respective docs for the technologies used.

Running Instructions

Ogaday

On my set up at least:

shift + alt gr ' <vowel>: áéíóú  
shitf + alt gr ` <vowel>: àèìòù  
shift + alt gr - <vowel>: āēīōū

Ogaday

Comparison using the python date format spec to parse RFC-822 date strings vs using dateutil.

In [1]: from timeit import timeit 
   ...: from time_rfc_822 import parse_RFC_822_naive, parse_RFC_822_dateutil 
   ...: sample_date_string = 'Fri, 06 Mar 2020 14:22:22 GMT' 
   ...: %timeit parse_RFC_822_naive(sample_date_string) 
   ...: %timeit parse_RFC_822_dateutil(sample_date_string)                                                                                                                                                                                                                                
17.5 µs ± 805 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)
154 µs ± 12.6 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each)

Ogaday

Installing Python From Source

Installing Python on Linux isn't so hard. These are my notes for installing on Ubuntu.

1. Install build dependencies using apt.
2. Choose and download the version of Python you'd like to install from the releases page.
3. Extract the directory
4. Run ./configure and make to install

Ogaday

Mocking HTTP Requests in Click

Simple MVP to test mocking of HTTP requests made in Click commands using the responses library.

In simple_post.py we have a Click command that makes a request to https://httpbin.org, a useful API for testing requests.

In test_simple_post.py we have a test suite which can be run by PyTest. In the first

Ogaday

Advent of Code - Getting Started

Some pointers for getting started with the Advent of Code.

You can run the notebook interactively here:

Ogaday

"""
A native implementation of argmax.

https://towardsdatascience.com/there-is-no-argmax-function-for-python-list-cd0659b05e49

Tests::

    pytest --doctest-modules -vvv argmax.py

Linting::