A small Python script that scans a folder (or the whole disk) and reports the top 10 largest directories and top 10 largest files. It uses only the Python standard library, so there is nothing to install.
Open Terminal (Cmd+Space, type "Terminal") and run:
Full code at ibm-iam-issue-test
% python python/reproduce_policy_get.py run --brief --registry-namespace rst-iamdemo-ns
created service ID iam-ServiceId-77468a8e-a301-4f26-a25e-5cb0ee417caa (dreamvu-iam-repro-20260930T175824Z-caller)
created service ID iam-ServiceId-ad666c10-e297-494a-bd92-e21c65eb44fa (dreamvu-iam-repro-20260930T175824Z-subject)
created API key ApiKey-3868b0d1-1ff7-4f85-b175-fdcddc5488c3 for iam-ServiceId-77468a8e-a301-4f26-a25e-5cb0ee417caa
created policy 76fc0c60-a7a3-49a8-8e53-155b34d28cdb: Viewer on IAM Access Management
| #!/usr/bin/env bash | |
| # | |
| # speedtest_client.sh | |
| # | |
| # Runs download, upload, and latency tests against a speedtest server | |
| # (see the accompanying app.py) using only curl -- nothing needs to be | |
| # installed on the client side, since curl ships by default on virtually | |
| # every Linux distro, macOS, and Windows 10+. | |
| # | |
| # Usage: |
| #!/usr/bin/env python3 | |
| """ | |
| organize_excel.py | |
| Scans a directory of Excel files, extracts a customer name from each | |
| filename, creates a per-customer subfolder in the output directory, | |
| and moves each file into the appropriate folder. | |
| Customer name extraction is controlled by --separator and --position: | |
| - The filename stem (no extension) is split on the separator string |
| { | |
| "$schema": "https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.json", | |
| "basics": { | |
| "name": "Ryan Tiffany", | |
| "label": "Technical Sales Engineer | DevOps & Automation Specialist", | |
| "image": "", | |
| "email": "ryantiffany@fastmail.com", | |
| "phone": "", | |
| "url": "https://ryantiffany.com", | |
| "summary": "Technical sales engineer with 10+ years at IBM translating complex cloud, DevOps, and automation solutions into success for clients. Deep hands-on expertise across the modern DevOps toolchain — Terraform, Ansible, Serverless, Tekton, Kubernetes, and OpenShift — fueled by a dangerous amount of coffee, too many YouTube Shorts about homelab setups, and a lot of playlists.", |
| #!/usr/bin/env python3 | |
| """ | |
| Proxmox Deployment Information Gatherer | |
| ======================================== | |
| This script collects detailed system information needed to create a custom | |
| Proxmox installation and configuration script for IBM Cloud Classic bare metal servers. | |
| Focuses on: | |
| - Network configuration (bonded interfaces, static IPs) |
| #!/usr/bin/env python3 | |
| """ | |
| IBM Cloud Object Storage - HMAC Credential Bucket Access Tester | |
| This script tests HMAC credentials to determine which buckets you can actually | |
| read from and download files. Useful when credentials may only work for certain | |
| buckets due to regional restrictions or permissions. | |
| Usage: | |
| python test_bucket_access.py |
| #!/usr/bin/env python3 | |
| """ | |
| Generates QR codes for WiFi network connection | |
| """ | |
| import click | |
| import qrcode | |
| from pathlib import Path |
| import os | |
| import pandas as pd | |
| import glob | |
| from typing import Dict, List, Optional, Union, Tuple | |
| import statistics | |
| import click | |
| class RVToolsAnalyzer: | |
| def __init__(self, directory_path: str = None): | |
| """ |