Developing Python 3 Apps with Docker

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Steven Haines

2:28:48

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01. Course Overview

01. Course Overview.mp4

01:47

02. Getting Started with Python and Docker

02. Introduction.mp4

02:10

03. Environment Setup.mp4

02:42

04. Visual Studio Code vs. PyCharm.mp4

04:46

05. Building a Flask Application.mp4

10:41

06. Building a Flask Application-Code Execution.mp4

04:38

07. Dockerizing a Flask Application.mp4

04:33

08. Creating a Dockerfile and Running a Container.mp4

07:41

09. Conclusion.mp4

01:41

03. Running Multiple Containers with Docker Compose

10. Introduction to Docker Compose.mp4

06:50

11. Configuring Docker Compose for the Product Service.mp4

03:19

12. Adding Nginx to the Application.mp4

05:26

13. Introduction to SQL Alchemy.mp4

08:11

14. Integrating MySQL into the Application Using SQL Alchemy.mp4

08:28

15. Testing the Application with Postman.mp4

04:53

16. Conclusion.mp4

01:30

04. Making Your Application Production-ready

17. Introduction.mp4

04:02

18. Python Logging Module.mp4

08:55

19. Adding Logging to the Product Service.mp4

06:46

20. Application Configuration with ConfigParser.mp4

05:00

21. Docker Volumes.mp4

06:59

22. Docker Secrets.mp4

05:04

23. Docker Compose Networks.mp4

05:36

24. Conclusion.mp4

02:31

05. Debugging Python Applications Running in Containers

25. Introduction.mp4

02:04

26. Modifying Python Code Running Inside a Container.mp4

03:24

27. Debugging Containers with PyCharm.mp4

09:05

28. Debugging Containers with Visual Studio Code.mp4

08:36

29. Conclusion.mp4

01:30

Description

Moving from a traditional architecture to a containerized architecture can be intimidating. This course will teach you how to use Docker and Docker Compose to build and deploy highly scalable Python applications.

What You'll Learn?

Building highly scalable Python applications in a microservices-based architecture can be challenging. In this course, Developing Python Apps with Docker, you'll learn how to run highly scalable Python applications in Docker containers. First, you'll explore how to create a Dockerfile and containerize a Python application. Next, you'll discover how to create and connect multiple docker containers together using Docker Compose. Finally, you'll learn how to make your application production-ready and debug it while it's running in a container. When you're finished with this course, you'll have the skills and knowledge of using Python with Docker that is needed to build robust and scalable Python applications in Docker.

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Python

Docker

Steven Haines

Instructor's Courses

Steven Haines has worked as a software architect for the last twenty years, most recently as a principal software architect at Turbonomic, focused on their cloud offering. He spent seven years in various architect roles at Disney, beginning as a technical architect on Disney's MyMagic+ program and finishing his tenure as a lead solution architect and principal application architect, overseeing large projects ranging from rolling out Disney Shanghai, replacing the online ticket sales website for the Hong Kong Disney Resort, and moving PhotoPass to a serverless architecture. He has a passion for application performance and scalability and has spent time working on Application Performance Management applications at Quest Software and AppDynamics. He's the author of Java 2 From Scratch (QUE, 1999), Java 2 Primer Plus (SAMS, 2002), and Pro Java EE Performance Management and Optimization (Apress, 2006). He was the Java Host on InformIT.com, where he contributed weekly articles about Java for nearly ten years, he's a regular contributor to JavaWorld, and he wrote over two dozen white papers on performance, scalability, and cloud-based architectures. He taught computer science and Java courses at Learning Tree University as well as the University of California, Irvine. In his spare time he focuses on building his technical and business acumen by reading books, taking online courses, and building new applications, and spends as much time as he can with his family: his wife Linda of almost 20 years, his son Michael (17), and his daughter Rebecca (9).

Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.