Book Image

Python Essentials for AWS Cloud Developers

By : Serkan Sakinmaz
4 (1)
Book Image

Python Essentials for AWS Cloud Developers

4 (1)
By: Serkan Sakinmaz

Overview of this book

AWS provides a vast variety of services for implementing Python applications, which can pose a challenge for those without an AWS background. This book addresses one of the more predominant problems of choosing the right service and stepping into the implementation of exciting Python apps using AWS. The book begins by showing you how to install Python and create an AWS account, before helping you explore AWS Lambda, EC2, Elastic Beanstalk, and S3 for Python programming. You'll then gain hands-on experience in using these services to build the Python application. As you advance, you'll discover how to debug Python apps using PyCharm, and then start deploying the Python applications on Elastic Beanstalk. You’ll also learn how to monitor Python applications using the CloudWatch service, along with creating and publishing APIs on AWS to access the Python application. The concluding chapters will help you get to grips with storing unstructured and semi-structured data using NoSQL and DynamoDB, as well as advance your knowledge using the Glue serverless data integration service in AWS. By the end of this Python book, you’ll be able to take your application development skills up a notch with AWS services and advance in your career.
Table of Contents (18 chapters)
Part 1: Python Installation and the Cloud
Part 2: A Deep Dive into AWS with Python
Part 3: Useful AWS Services to Implement Python

Processing a CSV file with a Python application on an EC2 server

In the previous chapter, we processed a CSV file within Lambda. In this section, we will run the same application within EC2, but there will be some differences:

  1. Log in to the EC2 machine.
  2. Create a folder in which to keep the csv file that is to be processed.
  3. Run the mkdir csv command in order to create a csv folder on Ubuntu:

Figure 4.30 – Creating a folder

After running the mkdir command, you can execute with the ls command in order to list your directory. As you see, the csv folder is created.

  1. Locate the csv folder by executing cd csv:

Figure 4.31 – Locating the csv folder

  1. Create a sample CSV file in the EC2 machine.

I have uploaded a sample CSV file for you in the following URL. Run the following code to download the sample CSV. The wget command allows you to download the file from the specific link...