ndamulelonemakh

# i. Search for tweets containing hastag '#messi' posted in 2020
# Results will be saved to a csv file named 'messitweets.csv'
# Other filters: Only get tweets in english(en), stats: show the number of likes, retweets for each post, count: show the number of posts returned
twint --search "#messi" --since 2020-01-01 --until 2020-12-31 --limit 50000 --popular --csv -o "messitweets.csv" --lang en --stats --hashtags --stats --count


# ii. Collect all tweets from a users timeline
twint --since 2020-01-01 --until 2020-12-31 --limit 50000 --popular --csv -o "out.csv" --lang en --stats --hashtags --stats --count -u endeesa -tl

ndamulelonemakh

#! bin/bash
# Helper script to deploy the production optimised build of a react app to Azure

# The environment variables below can be changed as required
ResourceGroupName="my-example-rg"
Location="westus"      
StorageAccountName="myspecialstorageaccount"
StorageSKU="Standard_LRS"              
StorageKind="StorageV2"   # Allowed values: BlobStorage, BlockBlobStorage, FileStorage, Storage, StorageV2
StorageContainerName="mysitecontainer01"

ndamulelonemakh

#! /bin/bash

# Pre-requisits
# Active Azure Subscription
# A virtual network resource
# 2 or more vms serving the same web app
# Reference: https://docs.microsoft.com/en-us/learn/modules/load-balance-web-traffic-with-application-gateway/5-exercise-create-configure-application-gateway

# i.Step 1: Create a gateway subnet

ndamulelonemakh

#!/bin/bash
# Scipt tested on Ubuntu 18.04

# i. Make sure java is installed
# If you intend to use hive, use java-8
sudo apt-get update -y
sudo apt-get install openjdk-8-jdk -y

# 2. Now we can install hadoop
cd /tmp

ndamulelonemakh

# Reference: https://docs.microsoft.com/en-us/azure/virtual-machines/linux/expand-disks
# Accoring to the documentation, this is only supported for data disks only

# At the time of this writing, this feature is still experimental
# i. Opt-in as follows:
az feature register --namespace Microsoft.Compute --name LiveResize

RG=myResourceGroup
VM=myVmName

ndamulelonemakh

#!/bin/bash

IMAGE_TAG=ecr_repo_name
ECR_URL=public.ecr.aws/<your-ec-id>
REGION=east-us-1


# setup aws cli
# Reference: https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html
curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"

ndamulelonemakh

# Install cron to sun scheduled scripts
sudo apt update
sudo apt install cron
sudo systemctl enable cron

# Add you config in crontab
crontab -e

# Syntax (Reference: https://www.digitalocean.com/community/tutorials/how-to-use-cron-to-automate-tasks-ubuntu-1804) 
# minute hour dayofMonth month dayOfWeek <you-commands>

ndamulelonemakh

# Most of the commands are based on this tutorial: https://www.sitepoint.com/wsl2/

# Step 1: Windows pre-requisites
# Official guide: https://docs.microsoft.com/en-us/windows/wsl/install-manual

# Run the following commands in Powershell(as admin)
dism.exe /online /enable-feature /featurename:Microsoft-Windows-Subsystem-Linux /all /norestart
dism.exe /online /enable-feature /featurename:VirtualMachinePlatform /all /norestart
# Download and Run: https://wslstorestorage.blob.core.windows.net/wslblob/wsl_update_x64.msi
wsl --set-default-version 2

ndamulelonemakh

"""Given a file containing a list of places, get the well formatted address containing the country, zip code, iso names etc.
using the Google Maps API
"""
import os
import json
import logging
import traceback
import requests
import pickle
import pycountry

ndamulelonemakh

import pytest

"""
References:
===========

- https://www.freblogg.com/pytest-functions-mocking-1

"""