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{
    "name": "serverpod_test",
    "tables": [
        {
            "name": "serverpod_auth_key",
            "schema": "public",
            "tableSpace": null,
            "columns": [
                {
                    "name": "id",

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# serverpod_cli would use this to tell the developer what
# a recommended steps subset does.
comment: Migrate from current to target

# A list of steps, that have to be performed, in order to
# migrate from current to target.
# If a step fails, the transaction is canceled and the migration failed.
# Tables might be prefixed with the schema. If not, `public` is assumed.
steps:
  - renameTable:

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Installation

1. Installiere Miniconda
2. Öffne die Eingabeaufforderung und teste mit conda -V die Installation.
3. Erstelle eine neue Python Testumgebung: conda create --name python-lernen
4. Aktiviere die Umgebung: conda activate python-lernen
5. Installiere JupyterLab: conda install -c conda-forge jupyterlab
6. Starte JupyterLab: jupyter lab
   • Es müsste sich automatisch ein Browserfenster öffnen. (manuell)
7. Öffne Links einen beliebigen Ordner und Erstelle mit -> ein Jupyter Notebook.

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#!/usr/bin/env python3
"""
mcfx_extractor.py: Extracts all files from a .mcfx SQLite package into a directory.

The .mcfx format is a SQLite database with a table:
    Files(Filename TEXT PRIMARY KEY, Data BLOB, LastModified INTEGER)

This script reads each entry and writes it out preserving folder structure and timestamps.

Usage: