Exchange Rates and the Currency Conversion Tool | Python Programming Blueprints

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Python Programming Blueprints

By : Riti, Furtado, Pennington

4 (2)

Python Programming Blueprints

4 (2)

By: Riti, Furtado, Pennington

Overview of this book

Python is a very powerful, high-level, object-oriented programming language. It's known for its simplicity and huge community support. Python Programming Blueprints will help you build useful, real-world applications using Python. In this book, we will cover some of the most common tasks that Python developers face on a daily basis, including performance optimization and making web applications more secure. We will familiarize ourselves with the associated software stack and master asynchronous features in Python. We will build a weather application using command-line parsing. We will then move on to create a Spotify remote control where we'll use OAuth and the Spotify Web API. The next project will cover reactive extensions by teaching you how to cast votes on Twitter the Python way. We will also focus on web development by using the famous Django framework to create an online game store. We will then create a web-based messenger using the new Nameko microservice framework. We will cover topics like authenticating users and, storing messages in Redis. By the end of the book, you will have gained hands-on experience in coding with Python.

Preface

Preface

Who this book is for

What this book covers

To get the most out of this book

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Free Chapter

Implementing the Weather Application

Implementing the Weather Application

Setting up the environment

Core functionality

Getting the user's input with ArgumentParser

Creating the parser

Summary

Creating a Remote-Control Application with Spotify

Creating a Remote-Control Application with Spotify

Setting up the environment

Creating a Spotify app

The application's configuration

Authenticating with Spotify's web API

Querying Spotify's web API

Creating the player

Summary

Casting Votes on Twitter

Casting Votes on Twitter

Setting up the environment

Creating a Twitter application

Adding the configuration file

Performing authentication

Building the Twitter voting application

Summary

Exchange Rates and the Currency Conversion Tool

Exchange Rates and the Currency Conversion Tool

Setting up the environment

Creating the API wrapper

Adding the database helper class

Creating the command line parser

Adding the application's entry point

Testing our application

Summary

Building a Web Messenger with Microservices

Building a Web Messenger with Microservices

TempMessenger Goals

Requirements

What is Nameko?

Creating your first Nameko microservice

Unit-testing a Nameko microservice

Exposing HTTP entrypoints

Integration testing Nameko microservices

Storing messages

Nameko Dependency Providers

Saving messages

Retrieving all messages

Displaying messages in the web browser

Sending messages via POST requests

Expiring messages in Redis

Sorting messages

Browser polling for messages

Summary

Extending TempMessenger with a User Authentication Microservice

Extending TempMessenger with a User Authentication Microservice

TempMessenger goals

Requirements

Creating a Postgres dependency

Creating users

Securely storing passwords in the database

Authenticating users

Splitting out the services

Creating a Flask server

Web sessions

Prepending the email to our messages

Summary

Online Video Game Store with Django

Online Video Game Store with Django

Setting up the development environment

Creating a new Django project

Exploring the Django project's structure

Creating the project's main app

Installing client-side dependencies

Adding login and logout views

Creating new users

Creating the game data model

Creating the shopping cart model

Summary

Order Microservice

Order Microservice

Setting up the environment

Creating the service models

Creating the model's managers

Learning to test

Creating the order model serializer

Creating the views

Setting up the service URLs

Integration with the game online store

Deploying to AWS

Summary

Notification Serverless Application

Notification Serverless Application

Setting up the environment

Setting up the Amazon Web Services CLI

Configuring a Simple Email Service

Creating an S3 bucket

Implementing the notification service

Deploying the application with Zappa

Restricting access to the API's endpoints

Modifying the order service

Testing all the pieces together

Summary

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Creating the API wrapper

In this section, we are going to create a set of functions that will wrap the fixer.io API and will help us use it in a simple way within our project.

Let's go ahead and create a new file called request.py in the currency_converter/currency_converter/core directory. First, we are going to include some import statements:

import requests
from http import HTTPStatus
import json

We obviously need requests so that we can perform requests to the fixer.io endpoints, and we are also importing HTTPStatus from the HTTP module so we can return the correct HTTP status code; also be a bit more verbose in our code. It's much nicer and easier to read the HTTPStatus.OK return than only 200.

Lastly, we import the json package so that we can parse the JSON content that we get from fixer.io into Python objects.

Next, we are going to add our first function. This function will return the current exchange rates given a specific currency:

def fetch_exchange_rates_by_currency(currency):
    response...

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Programming languages

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