Mike Babb mkbabb

I'll complete the text with the process management information:

This script performs DNS TXT record lookups once per minute for 24 hours straight. Each lookup uses a unique random name in the format 'delver-xxxxxxxx'.

Requirements

Python 3.x
Your computer must stay awake the entire time (disable sleep/hibernate)
Internet connection for the full 24 hours

Integrating OpenAI and Google APIs: An Overview

This script's designed to demonstrate the integration of OpenAI's API with Google Sheets for data processing tasks. It fuzzy-finds an input school name within a list of school names, in particular, from this sheet's provided USAC school names list, and our State Valid File school names list.

Features

OpenAI API Usage: Uses OpenAI for fuzzy matching, facilitating comparisons between school names.
Google Sheets API Integration: Utilizes a bespoke utility module for seamless interaction with Google Sheets, enabling efficient data retrieval and updates.
Data Handling: Employs techniques for cleaning and matching data, including deduplication and filtering, to maintain data integrity and relevance.

1.1 Uses of Computer Networks

Computer networks allow remote access to information, person-to-person communication, electronic commerce, entertainment, and more.
The client-server model and peer-to-peer communication are common ways to access information over a network.

1.2 Types of Computer Networks

There are many types of networks, including broadband access networks, mobile/wireless access networks, content provider networks, transit networks, enterprise networks, and inter-networks. Each serves a different purpose and scale.
Local area networks (LANs) operate over a small geographic area like a building. Wireless LANs (WiFi) are very common now.

1.3 Network Technology, from Local to Global

Networks span a huge range of scales, from personal area networks up to the global Internet. Different technologies are used at each scale.
Key technologies include Ethernet for wired LANs, WiFi for wireless LANs, DOCSIS for cable broadband access, cellular technologies for mobile access, and fib

1. Install TensorFlow core 2.9

Docker within LinuxONE

List of most recent IBM z containers

Usage Notes

Exposed Ports: 8888

To start container from image & start an application in production mode:

docker run --name tensorflow -it icr.io/ibmz/tensorflow:[version] bash

Personal Information

Name: [Full Name]
Birth Date: [Birth Date]
Personal Email: [Personal Email]
Work Email: [Work Email]

	def cache_with_stale_interval(
	stale_interval: datetime.timedelta \| float \| int \| None = None,
	) -> Callable[[Callable[P, R]], Callable[P, R]]:
	"""
	Decorator that caches function results with optional time-based invalidation.
	Caching works by pickling the output alongside a JSON metadata file containing
	the timestamp of the cached result. If the stale_interval is set, the cached
	result is considered stale after the specified time and the function will be
	re-run.

	"""
	Minimal QueuePool example with a pandas DataFrame, chunking thereof.
	"""

	import pandas as pd
	from multiprocessing import Queue
	import multiprocessing as mp
	from typing import Any
	import numpy as np

	from typing import Any # Importing typing to specify more detailed type information

	import pandas as pd # Importing pandas for data manipulation and analysis
	import requests # Importing requests to make HTTP requests to external APIs


	# Function to geocode an address using the Google Maps API
	def geocode_address(address: str, api_key: str) -> dict[str, Any]:
	# Base URL for the Google Maps Geocoding API
	base_url = "https://maps.googleapis.com/maps/api/geocode/json"

	export ZSH_FRAGMENTS_DIR="$HOME/.zshrc.d"
	export ZSH="$HOME/.oh-my-zsh"

	mkdir -p $ZSH_FRAGMENTS_DIR

	GIST_URL="https://gist.github.com/mkbabb/0b9a0052ec7fdaac6b07f684eb6ae27d/raw/7a7c2a19c23d0ac8a7c8631f91cf09c312d606f3"
	CROSS_PLATFORM_FILENAME="02-cross-platform.zsh"

	CROSS_PLATFORM_GIST="$GIST_URL/$CROSS_PLATFORM_FILENAME"

	import argparse
	import tempfile
	import zipfile
	from io import BytesIO
	from pathlib import Path
	from typing import Optional

	import docx2pdf
	import pypdf
	from pypdf.generic import AnnotationBuilder