AO8’s gists

AO8 / month_analyzer3.py

Last active September 26, 2018 17:11

Another approach to an ongoing Python project: reading CSV exported from Calendly to analyze what months students book an advising appointment. Key modules used in this approach include OrderedDict, datetime, and matplotlib.

	import csv
	from datetime import datetime
	from collections import OrderedDict
	import matplotlib.pyplot as plt

	# set up empty containers
	total = 0
	months = dict()

	# open and read CSV

AO8 / cohort_analyzer.py

Last active October 9, 2018 19:58

Using Python to analyze the makeup of a given BAS-SD cohort.

	import csv
	from statistics import mean

	# set up empty dict containers
	associate_type = dict() # row 6
	associate_from = dict() # row 7
	maths = dict() # row 14
	advisors = dict() # row 15

	# set up empty list containers

AO8 / record_video.py

Created September 17, 2018 00:21

Simple Python recipe for recording video with timestamp using PiCamera + Raspberry Pi.

	from picamera import PiCamera, Color
	from time import sleep
	from datetime import datetime as dt

	with PiCamera() as camera:

	camera.rotation = 180 # omit or use 90, 180, 270 depending on setup
	camera.annotate_background = Color("black")
	start = dt.now()
	camera.start_preview()

AO8 / simple_send_photo.py

Last active September 17, 2018 00:08

Simple Python script to attach & email images, handy for sending photos taken with a PiCamera / Raspberry Pi.

	# enable less secure apps in gmail before sending

	import os
	import smtplib
	from email.mime.multipart import MIMEMultipart
	from email.mime.image import MIMEImage

	# gather inputs
	from_addr = input("FROM ADDRESS: ")
	pwd = input("PASSWORD: ")

AO8 / bas_sd_scraper.py

Last active October 26, 2020 20:14

Python webscraper + email report creator. Uses BeautifulSoup and pyautogui to scrape Green River's online class finder for BAS software development and programming prereq enrollments, then sends email report to stakeholders.

	# Python Standard Library
	import smtplib
	import ssl
	import webbrowser
	from datetime import datetime as dt
	from email.mime.text import MIMEText
	from time import sleep
	from urllib.request import urlopen

	# Third-party

AO8 / continuous_stoic_meditation.py

Last active August 2, 2018 19:56

Continuously email a random Stoic meditation from Marcus Aurelius: a simple exercise in file reading, timedeltas, and sending gmail with Python.

	# Builds on the random daily Stoic meditation gist at:
	# https://gist.github.com/AO8/a33b0e70a1885679279f0533d4f5d8dc
	# Enable less secure apps in gmail before running

	import random
	import smtplib
	from email.mime.text import MIMEText
	from datetime import datetime, timedelta
	from time import sleep

AO8 / email_stoic_meditation.py

Last active July 31, 2018 21:21

Randomly select and email a daily Stoic meditation from Marcus Aurelius: a simple exercise in file reading and sending gmail with Python.

	# Builds on the random daily Stoic meditation gist at:
	# https://gist.github.com/AO8/a33b0e70a1885679279f0533d4f5d8dc
	# Enable less secure apps in gmail before attempting to send

	import random
	import smtplib
	from email.mime.text import MIMEText
	from datetime import datetime

	random.seed(datetime.now())

AO8 / month_analyzer2.py

Last active September 25, 2018 20:42

Read CSV exported from Calendly to analyze what months students book an advising appointment. More concise version using dict as central data structure.

	import csv
	import matplotlib.pyplot as plt

	months = {
	"january" : 0,
	"february" : 0,
	"march" : 0,
	"april" : 0,
	"may" : 0,
	"june" : 0,

AO8 / lead_analyzer2.py

Last active December 3, 2019 19:54

Read CSV exported from Calendly to create a bar chart with matplotlib depicting how students heard about program when booking an appointment. This version is more concise using the Counter class as central data structure.

	import csv
	from collections import Counter
	import matplotlib.pyplot as plt

	# set up empty containers
	leads = Counter()
	email_addresses = set()
	total_rows = 0 # storing total rows in csv if useful outside of plot

	# ignores 'Other' entries; 'Other' since removed from appt booking question

AO8 / daily_stoic_meditation.py

Last active January 3, 2025 16:17

Randomly select a daily Stoic meditation from Marcus Aurelius: a simple exercise in file reading with Python.

	# Inspired from a recent re-reading of Meditations by Marcus Aurelius, translation by Gregory Hays.

	import random
	import textwrap

	with open("meditations.txt", "r") as f:
	contents = f.readlines()

	def ask_stoic():
	prompt = input("Would you like a stoic meditation? y or n ")

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