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Practical Docker with Python: Build, Release and Distribute your Python App with Docker

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Learn the key differences between containers and virtual machines. Adopting a project based approach, this book introduces you to a simple Python application to be developed and containerized with Docker.

After an introduction to Containers and Docker you'll be guided through Docker installation and configuration.  You'll also learn basic functions and commands used in Docker by running a simple container using Docker commands. 

The book then moves on to developing a Python based Messaging Bot using required libraries and virtual environment where you'll add Docker Volumes to your project, ensuring your container data is safe. 
You'll create a database container and link your project to it and finally, bring up the Bot-associated database all at once with Docker Compose. 

What You'll Learn
  • Build, run, and distribute Docker containers
  • Develop a Python App and containerize it
  • Use Dockerfile to run the Python App
  • Define and run multi-container applications with Docker Compose 
  • Work with persisting data generated by and used by Docker containers
Who This Book Is For


Intermediate developers/DevOps practitioners who are looking to improve their build and release workflow by containerizing applications

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Machine Learning with AWS: Explore the power of cloud services for your machine learning and artificial intelligence projects
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Use artificial intelligence and machine learning on AWS to create engaging applications

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You will learn the principles of the topics needed to help a developer new to agile or full
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