axel-sirota

Login: ps_navy Pass: RD!jrLP9zg

2. Show around anypoint , explain

3. Go and create SQS (explain what it is, save the following attributes: )

Queue URL:

axel-sirota

(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.

axel-sirota

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

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

axel-sirota

# 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

axel-sirota

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

axel-sirota

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

axel-sirota

// 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 } } }