jskherman

import requests
import datetime
import re
import pandas as pd
from bs4 import BeautifulSoup
import time
from typing import List, Dict, Optional

def get_available_years(github_username: str, headers: dict) -> List[int]:
    """

jskherman

{
  "Acentric_Factor": 0.5,
  "BO_BSW": 0.0,
  "BO_GOR": 0.0,
  "BO_OilVisc1": 0.0,
  "BO_OilVisc2": 0.0,
  "BO_OilViscTemp1": 0.0,
  "BO_OilViscTemp2": 0.0,
  "BO_PNA_A": 0.0,
  "BO_PNA_N": 0.0,

jskherman

# Import packages
import os
import dotenv # for .env files
import datetime
import requests
import pandas as pd

# Do `pip install notion-df` first
import notion_df

jskherman

# Import packages
import os
import dotenv # For .env files
import datetime
import pandas as pd

# import base64
import requests
import io

jskherman

-- Source: https://stackoverflow.com/a/33511182
-- Check if array contains a specific value
local function has_value (tab, val)
    for index, value in ipairs(tab) do
        if value == val then
            return true
        end
    end

    return false

jskherman

import re

text = "Dummy text here with the cards"

# Regex for Basic Card with Extra field using #flashcard
basic_regex = r"((?:[^\n][\n]?)+) #flashcard ?\n*((?:\n(?:^.{1,3}$|^.{4}(?<!<!--)(?<!Extra: ).*)))(?:\nExtra: (.*))+"

# Regex for Cloze Card with Extra field
cloze_extra = r"((?:.+\n)*(?:.*==.*)(?:\n(?:^.{1,6}$|^.{7}(?<!<!--ID:)(?<!Extra: ).*))*)(?:\nExtra: (.*))?"

jskherman

import re

text = "[hello:: world]\n[key:: value]\n[testing::1]\n[listing::1,2,3]"

# Caveat: These regex only work with one field on a line
#         and cannot have two or more in the same line.
key_regex = r"(?!\[).*(?:(?=\:\:))"
value_regex = r"(?:(?<=\:\:)(.*)(?=\]))"

# Save values to a list

jskherman

def round_up(n, decimals=0):
    # Move significant decimal digits to the left of the decimal point
    multiplier = 10 ** decimals

    # Truncate the unneeded digits on the right of the decimal point
    sig_digits = n * multiplier // 1

    # Determine whether to round up or round down
    # Return 1 if the tenth digit is greater than or equal to 5,
    # else return 0 if less than 5

jskherman

π to 3200 digits in the Library of Babel

The Key

The decoding key is as follows:

Character	Digit
a	0
b	1

jskherman

# Script to parse the csv from the Forest App into a pandas dataframe

#%%
import pandas as pd
from datetime import datetime

### Specify pattern for dates in Forest's csv export for dateparser
dateparse = lambda x: datetime.strptime(x, "%a %b %d %H:%M:%S %Z%z %Y")

### Sidenote: Alternative regex patterns