wronk

Overview of Python Virtual Environments

This guide is targetted at intermediate or expert users who want low-level control over their Python environments.

When you're working on multiple coding projects, you might want a couple different version of Python and/or modules installed. This helps keep each workflow in its own sandbox instead of trying to juggle multiple projects (each with different dependencies) on your system's version of Python. The guide here covers one way to handle multiple Python versions and Python environments on your own (i.e., without a package manager like conda). See the Using the workflow section to view the end result.

h/t @sharkinsspatial for linking me to the perfect cartoon

cicdw

import datetime
from google.cloud.firestore import Client
import random
import requests

import prefect
from prefect import Flow, Parameter, task
from prefect.client import Secret
from prefect.schedules import CronSchedule

hakib

# https://hakibenita.com/fast-load-data-python-postgresql

from typing import Iterator, Dict, Any, Optional
from urllib.parse import urlencode
import datetime


#------------------------ Profile

import time