Python in Containers [Video]

Python in Containers

Python in Containers [Video]

English | MP4 | AVC 1920×1080 | AAC 44KHz 2ch | 23h 48m | 6.96 GB
eLearning | Skill level: All Levels

Python in Containers [Video]: All about containers, Docker, and Kubernetes for Python engineers

Docker and Kubernetes are must-have skills for Python engineers these days. Whether your focus is on machine learning and data science or you use Python as a general programming language, you must understand Docker and Kubernetes, as they form the basis of modern cloud-native applications built using microservice architectures.

  • Build container images having Python applications and ship them to Docker Hub
  • Run Jupyter Notebooks and create virtual machines in Docker
  • Use Docker Desktop for Windows Pro and macOS and Docker Toolbox for Windows Home
  • Create custom container images from scratch and automate container image builds with Dockerfile
  • Design Flask and Django multi-container deployments and automate them with Docker Compose
  • Containerize TensorFlow models into microservices and use Kubernetes with Minikube on a development host
  • Deploy complex multi-container applications in Docker Swarm and Kubernetes

In this course, you’ll learn to do the following:

  • Develop and explore machine learning, data science, and Jupyter Notebooks in Docker
  • Run machine learning models in production with Kubernetes and Docker Swarm
  • Package your Python code into containers
  • Publish your containers in image registries
  • Deploy containers to production, both in Docker and Kubernetes
  • Build highly modular, container-based services in a microservices way
  • Monitor and maintain containerized apps

You can use the course in two ways:

  1. If you use Python for machine learning and data science, go top-down – start with section 7 to quickly develop practical Docker skills and use sections 2 to 6 to delve deeper into specific container topics
  2. If you want to use Python for building web apps and microservices, try the bottom-up approach – use the course in a linear way
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