datavudeja

import psycopg2
import time
import selenium
from selenium import webdriver
import openpyxl
from openpyxl import load_workbook
import subprocess
from email.mime.text import MIMEText
from email.mime.application import MIMEApplication
from email.mime.multipart import MIMEMultipart

datavudeja

import sqlite3
db = sqlite3.connect(':memory:')
c = db.cursor()
c.execute('CREATE TABLE mytable (description text)')
c.execute('INSERT INTO mytable VALUES ("Riemann")')
c.execute('INSERT INTO mytable VALUES ("All the Carmichael numbers")')

print '1) EQUALITY'
c.execute('SELECT * FROM mytable WHERE description == "Riemann"'); print 'Riemann:', c.fetchall()

datavudeja

import pandas as pd
from functools import wraps
from typing import Union, List, Callable, Any

def upsert_df(target_df: pd.DataFrame, key_columns: Union[str, List[str]]):
    """
    Decorator that performs an upsert operation on a target DataFrame.
    
    Args:
        target_df: The DataFrame to upsert into

datavudeja

#####################################################
# Setting the Stage: Our Dataset
#####################################################

import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import plotly.express as px
import plotly.graph_objects as go

datavudeja

# SPDX-License-Identifier: MPL-2.0
# Author: Maxim Sharabayko
# See https://maxsharabayko.github.io/blog/posts/plot-vc-frame-size/
import click
import pandas as pd
from bokeh.plotting import figure, show, output_file
from bokeh.io import output_notebook
from bokeh.transform import factor_cmap
from bokeh.models import Legend, LegendItem
from bokeh.layouts import column

datavudeja

# General Information
# * High-level programming language
# * General-purpose (vs. domain specific)
# * Created by Guido van Rossum (1991)
# * Emphasizes: 
#     * Code readability
#     * Highly-expressive syntax
#
#
# Some specifics

datavudeja

from __future__ import annotations

import os
import sys
import json
import pprint
import sqlite3
import argparse
from pathlib import Path
from typing import cast, List, NewType, Tuple, TypedDict, Generator, Union

datavudeja

import os
import sys
import time

import hashlib
import pathlib as pt
import subprocess as sp

from watchdog.observers import Observer
from watchdog.events import PatternMatchingEventHandler

datavudeja

import asyncio
import functools
import threading
from contextlib import asynccontextmanager, contextmanager
from typing import Any, Callable


@contextmanager
def my_cont_mgr(tag: str):
    print(f"{tag}: f entering!")

datavudeja

"""An alternative API for st.session_state using a class decorator.

So instead of doing this...

    if "run_counter" in st.session_state:
      st.session_state.run_counter = 0

    st.session_state.run_counter += 1

    st.write("Number of reruns:", st.session_state.run_counter)