Developing Python 3 Apps with Docker

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.

5|Reviews (44)
Pluralsight Teams₹4,166.75 per user/month, billed annually
₹50,004
CompleteBilled Monthly
₹2,370/mo

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Course Insight

Suitable for intermediate learners. Works well as a continuation after mastering Information Technology fundamentals. It bridges the gap toward advanced, production-level engineering.

Intermediate FriendlySelf-Paced Learning

SKILLS TO
MASTER

Information Technology Basics
Fundamental principles and concepts
Practical ApplicationTrending
Real-world project implementation
Best Practices
Industry standard workflows and guidelines
Problem Solving
Core Concepts
Implementation
Workflow Integration
Optimization
Careers:Backend Developer, Software Engineer, API Developer.

Quick Facts

Below sections are verified from last major sync. For real-time updates and today's latest lectures, Check official page here.

What You’ll Learn

  • Course Overview : 1min.
  • Getting Started with Python and Docker : 38mins.
  • Running Multiple Containers with Docker Compose : 38mins.
  • Making Your Application Production-ready : 44mins.
  • Debugging Python Applications Running in Containers : 24mins.
See side-by-side differences in what you’ll learn

Description

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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Developing Python 3 Apps with Docker
⭐ 5(44+ learners)