cmpadden

$ python -c "import math; [print(1/(math.sqrt(n))) for n in range(1, 1000)]" | uplot line -t "1/sqrt(n)"
                     1/sqrt(n)
     ┌────────────────────────────────────────┐
   1 │⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
     │⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
     │⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
     │⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
     │⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
     │⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
     │⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│

cmpadden

"""
dagster dev -f dagster-example-map-reduce-graph-asset.py
"""

from itertools import chain

from dagster import Definitions, DynamicOut, DynamicOutput, asset, graph_asset, op


@asset

cmpadden

#!/bin/bash

TARGET_MIDI_FILE="bk_cove.mid"
STATIC_COVER_IMAGE="${HOME}/Downloads/bk_cover_image.jpg"

# open midi file in Logic Pro
open "$TARGET_MIDI_FILE"

# use `osascript` to bounce the project, converting midi tracks to an audio file
osascript \

cmpadden

USAGE

    $ dagster dev -f example-asset-check-iomanager.py

"""

from dagster import (
    AssetCheckResult,
    Definitions,

cmpadden

"""Extracts git origin remote URLs for all git repositories in `TARGET_DIRECTORY`.

This is useful if you would like to get a list of repositories from a project directory that you
would like to clone elsewhere.

"""

import configparser
import os

cmpadden

"""Renames epub files using title and author(s) present in metadata."""
import ebookmeta
import os
import shutil

from glob import glob


SOURCE_DIRECTORY = os.path.expanduser("~/Desktop/Books/")
DESTINATION_DIRECTORY = os.path.expanduser("~/Desktop/Library/")

cmpadden

#!/bin/bash

destination="/Users/colton/Desktop/Library"
mkdir -p "$destination"

cd /Users/colton/Library/Mobile Documents/iCloud~com~apple~iBooks/Documents

for i in *.epub; do
    pushd "$i"
    zip --quiet -X0 "$destination/$i" mimetype

cmpadden

"""Leaflet map of all DMV Rapidpass locations.

The rapidpassvirginia website provides invidiual links to latitude/longitude points on a Google map,
making it very difficult to find the most ideal location for a rapid pass emmissions inspection.
This script pulls the data from their website with `pd.read_html`, and plots it on a map using the
`folium` library.

PREREQUISITES

    pip install pandas folium

cmpadden

#!/bin/bash

models=$(curl -s https://api.openai.com/v1/models -H "Authorization: Bearer $OPENAI_API_KEY")

jq .data[].id  <(echo "$models") | sort -u

cmpadden

mkdir -p ~/.config/chatblade

# create a custom prompt for programming
echo "You are a helpful but succinct chatbot that assists an impatient \
programmer by directly answering questions. You understand that the \
programmer is advanced enough to understand succinct phrases and prefers \
direct answers with little boilerplate." >> ~/.config/chatblade/programmer

# interactive use of custom prompt
chatblade -i -p programmer