SKaplanOfficial

{"New England Public Radio WFCR":{"name":"New England Public Radio WFCR","website":"https://www.nepm.org","stream":"https://nepr.streamguys1.com/WFCR.mp3","genres":["community","news","classical","jazz","public",""],"description":["News"," jazz"," and classical music."],"discontinued":"false"},"Venice Classic Radio":{"name":"Venice Classic Radio","website":"https://www.veniceclassicradio.eu","stream":"https://uk2.streamingpulse.com/ssl/vcr2","genres":["classical","baroque","opera","italian",""],"description":["A repertoire of early"," baroque"," classical and romantic music!"],"discontinued":"false"},"Minnesota Public Radio YourClassical":{"name":"Minnesota Public Radio YourClassical","website":"https://www.yourclassical.org/playlist/classical-mpr","stream":"https://cms.stream.publicradio.org/cms.aac","genres":["classical","public",""],"description":"YourClassical MPR provides lively classical music and good company to listeners throughout the day.","discontinued":"false","location":["Minneapolis"," Minnesota

SKaplanOfficial

# Tested with PyXA 0.1.1
import PyXA
from enum import Enum

class LockPosition(Enum):
    NONE = 0
    LOCK_TOP_LEFT = 1
    LOCK_TOP = 2
    LOCK_TOP_RIGHT = 3
    LOCK_RIGHT = 4

SKaplanOfficial

from collections import Counter

import matplotlib.pyplot as plt
import numpy as np

import PyXA # Version 0.2.0

app = PyXA.Application("Music")
tracks = app.tracks().greater_than("duration", 0)

SKaplanOfficial

from collections import Counter

import matplotlib.pyplot as plt
import numpy as np

import PyXA # Version 0.2.0

app = PyXA.Application("Music")
genre_data = Counter(app.tracks().genre()).most_common()

SKaplanOfficial

import PyXA
from random import random

# Horizontal stitching
colors = [PyXA.XAColor(random(), 0, random()) for i in range(100)]
swatches = [c.make_swatch(10, 500) for c in colors]
PyXA.XAImage.horizontal_stitch(swatches).show_in_preview()

# Vertical stitching
files = ["/Users/exampleUser/Desktop/cat1.jpeg", "/Users/exampleUser/Desktop/cat2.jpeg", "/Users/exampleUser/Desktop/cat3.jpeg"]

SKaplanOfficial

import PyXA # Version 0.2.0
text = PyXA.XAText("Tim Cook is the CEO of Apple.")
print(text.tag_entities())
# [('Tim', 'PersonalName'), ('Cook', 'PersonalName'), ('is', 'Verb'), ('the', 'Determiner'), ('CEO', 'Noun'), ('of', 'Preposition'), ('Apple', 'OrganizationName')]

SKaplanOfficial

import PyXA # Version 0.2.0

# Use the default sentiment scale
text = PyXA.XAText("This sucks.\nBut this is great!")
print(text.tag_sentiments())
# [('This sucks.\n', 'Negative'), ('But this is great!', 'Positive')]

# Use a custom sentiment scale
text = PyXA.XAText("This sucks.\nBut this is good!\nAnd this is great!")
print(text.tag_sentiments(sentiment_scale=["Very Negative", "Negative", "Somewhat Negative", "Neutral", "Somewhat Positive", "Positive", "Very Positive"]))

SKaplanOfficial

import PyXA # Version 0.2.0
app = PyXA.Application("Mail")

dataset = {
    "junk": app.accounts()[0].mailboxes().by_name("Junk").messages().subject(),
    "other": app.accounts()[0].mailboxes().by_name("INBOX").messages().subject()
}

queries = [
    "Amazon Web Services Billing Statement Available",

SKaplanOfficial

import PyXA # Version 0.2.0
from time import sleep

flow = PyXA.Application("Flow")
in_session = False

while True:
    apps = PyXA.running_applications().localized_name()
    if "Notes" in apps and not in_session:
        flow.start()

SKaplanOfficial

import PyXA # Version 0.2.1
app = PyXA.Application("System Events")

desktop_files = app.desktop_folder.files()
desktop_folders = app.desktop_folder.folders()

# Create sorting bin folders
images_folder = app.make("folder", {"name": "Images"})
videos_folder = app.make("folder", {"name": "Videos"})
audio_folder = app.make("folder", {"name": "Audio"})