deusebio

import pandas as pd
import re

space_splitter = re.compile("\s+")
regex = re.compile("\s*(.*)\s*>\s*(.*?):\s.*")

def parse_line(line):
    try:
        elements = space_splitter.split(line)
        source_dest = regex.match(" ".join(elements[4:])).groups()

SKaplanOfficial

#!/usr/bin/env python

# Test with PyXA 0.1.0
import PyXA

safari = PyXA.Application("Safari")
notes =  PyXA.Application("Notes")

# Get info for current Safari tab
current_tab = safari.front_window.current_tab

paulomach

some useful charm dev commands

Info about published charm

> juju info

# basic data
juju info <charm-name>

SKaplanOfficial

import PyXA, math
from PIL import Image

# Execute Automator workflow and receive list of image paths
automator = PyXA.Application("Automator")
workflow = automator.open("/Users/exampleuser/Library/Mobile Documents/com~apple~Automator/Documents/Ask For Photos.workflow")
image_paths = workflow.execute()

# Set base dimensions of mosaic images
base_width = 400

SKaplanOfficial

# Tested with PyXA 0.1.0
import PyXA
app = PyXA.Application("Shortcuts")
folders = app.folders()

# Method 1 - Standard iteration
summary = []
for folder in folders:
    folder_name = folder.name
    num_shortcuts = len(folder.shortcuts())

paulomach

There's some mysql specifics, but it's mostly generic

help: ## show help message
	@awk 'BEGIN {FS = ":.*##"; printf "\nUsage:\n  make \033[36m\033[0m\n"} /^[$$()% a-zA-Z_-]+:.*?##/ { printf "  \033[36m%-25s\033[0m %s\n", $$1, $$2 } /^##@/ { printf "\n\033[1m%s\033[0m\n", substr($$0, 5) } ' $(MAKEFILE_LIST)

SHELL    := /bin/bash
unit     := 0
app      := $(shell yq '.name' metadata.yaml)
scale    := 3

33eyes

Commit jupyter notebooks code to git and keep output locally

1. Add a filter to git config by running the following command in bash inside the repo:

git config filter.strip-notebook-output.clean 'jupyter nbconvert --ClearOutputPreprocessor.enabled=True --to=notebook --stdin --stdout --log-level=ERROR'  

2. Create a .gitattributes file inside the directory with the notebooks

3. Add the following to that file:

paulera

How to take the PSM I certification from Scrum.org entirely by yourself

Some people ask me about Scrum.org certifications: what to study, how to apply for the exam and advice for taking it. So I decided to write a guide for those interested in preparing and taking PSM I (Professional Scrum Master) without spending a fortune with training. With discipline, in around a month (or two), you should be ready to take the test.

The advice compiled here came from experienced agile coaches. Worked very well for me and I hope they will also help those who are seeking directions.

Table of Contents

• 1. PSM I exam format
• 1.1. Language

suapapa

package main

import (
	"encoding/binary"
	"fmt"
	"os"
	"os/signal"
	"time"

	"github.com/gordonklaus/portaudio"

kadereub

# Load relevant libraries
import numpy as np
import numba as nb
import matplotlib.pyplot as plt

# Goal is to implement a numba compatible polyfit (note does not include error handling)

# Define Functions Using Numba
# Idea here is to solve ax = b, using least squares, where a represents our coefficients e.g. x**2, x, constants
@nb.njit