Maximilian Fischer fischerscode

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

	# 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:

	# Alternatively, CONSTRAINTs could be represented directly.
	# This however might require polymorphism.

	# yaml-language-server: $schema=https://go.fischerscode.com/serverpod-schema

	### The definition of a (desired) table in the database.
	class: TableDefinition
	fields:
	### The table name
	tableName: String

	{
	"$schema": "https://json-schema.org/draft/2020-12/schema",
	"title": "Protocol file definition",
	"oneOf": [
	{
	"$schema": "https://json-schema.org/draft/2020-12/schema",
	"title": "protocol file with fields",
	"description": "class or exception",
	"oneOf": [
	{

	// ignore_for_file: no_leading_underscores_for_library_prefixes
	import 'package:serverpod/serverpod.dart' as _i1;
	import 'package:serverpod/protocol.dart' as _i2;
	import 'package:serverpod_auth_server/module.dart' as _i3;
	import 'package:serverpod_serialization/serverpod_serialization.dart' as _i4;

	class Example extends _i1.TableRow {
	Example({
	this.id,
	required this.name,

	#!/bin/bash
	LC_ALL=C tr -dc 'A-Za-z0-9!#$%&()*+,-./:;<=>?@[\]^_`{\|}~' </dev/urandom \| head -c $1 ; echo