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(Advanced/Intermediate/Fundamentals) Kubernetes Intallation instructions

Windows

Core requirements:

Docker Desktop

With Docker Desktop, you'll get a managed Kubernetes cluster after some initial setup.

Installing Anaconda Python

Wether you arrive here by chance, or you need to install Python for our Python/ML classes @ DI; here is a solution for you. As in classes we use Jupyter notebooks, the easiest way to have all data packages + jupyter is downloading Anaconda Python, which is a mega dist with python and all the batteries included.

Mac

If you come from mac, go to https://www.anaconda.com/download and click as the image shows:

	# Installation instructions

	## Windows

	### Core requirements:

	Azure CLI:

	- The main steps are from https://learn.microsoft.com/en-us/cli/azure/install-azure-cli-windows?tabs=azure-cli

	import matplotlib.pyplot as plt
	import numpy as np
	import pandas as pd
	import sklearn.model_selection
	import sklearn.datasets
	import sklearn.metrics
	import autosklearn.classification

	from smac.tae import StatusType

	version: "2"
	services:
	mongo-shard1:
	image: mongo
	command: mongod --shardsvr --replSet mongors1 --dbpath /data/db --port 27017
	mongo-shard2:
	image: mongo
	command: mongod --shardsvr --replSet mongors2 --dbpath /data/db --port 27017
	mongo-cfg1:
	image: mongo

	// Start the MongoDB Container

	docker run --name mongo -d mongo
	docker exec -i mongo sh -c 'mongoimport -d oreilly -c students --drop --type json' < students.json

	// Check that Mongodb adds a projection on non-used fields

	db.students.explain("executionStats").aggregate( [
	{ $group: { _id: "$grade", frequency: { $sum: 1 } } },
	{ $match: { "frequency": { $gt : 10 } } }