Md. Sany Ahmed sany2k8

Installing with apt-get

#!/bin/sh
# https://docs.docker.com/engine/installation/linux/ubuntu/#install-using-the-repository
sudo apt-get update && sudo apt-get install -y apt-transport-https ca-certificates curl software-properties-common
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
sudo apt-key fingerprint 0EBFCD88 | grep [email protected] || exit 1
sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"
sudo apt-get update

Scripts to run specific services

Upload files to AWS

Make sure you already have S3 bucket, access key and secret key before go through this notes.

How to connect to AWS?

Boto3 allows Python developers to write software that makes use of services like Amazon S3 and Amazon EC2.

Step 1: Install `boto3` with pip

pip install boto3

IMPORTANT

See the following links for further updates to Github Desktop for Ubuntu. These are official instructions. (also mentioned by fetwar on Nov 3, 2023)

For the sake of "maintaining the tradition" here is the updated version.

	from flask import Flask
	from flask_caching import Cache
	import random

	app = Flask(__name__)
	cache = Cache(app, config={'CACHE_TYPE': 'redis', 'CACHE_REDIS_URL': 'redis://localhost:6379/0'})

	@app.route("/route1")
	@cache.cached(timeout=10)
	def route1():

	from flask import Blueprint
	from flask import Flask

	app = Flask(__name__)


	v1 = Blueprint("version1", "version1")
	v2 = Blueprint('version2', "version2")

	import inspect
	from jsonschema import (
	validate,
	exceptions as jsonschema_exceptions
	)

	from django.core import exceptions
	from django.contrib.postgres.fields import JSONField

	# -- coding: utf-8 --

	# import pandas and numpy package
	import numpy as np
	import pandas as pd

	# List unique values in a DataFrame column
	df['Column Name'].unique()

	# To extract a specific column (subset the dataframe), you can use [ ] (brackets) or attribute notation.

	# conditional update

	# boto3, an AWS SDK package
	# JSON, a text format package that is language independent
	# decimal, a precision Handling package
	import boto3

	# this looks after validation error (throws a statement if the entity already exists)
	from botocore.exceptions import ClientError