Udemy – Python 2020-3 in Containers – Download

explanation

Python in Containers is a container, Docker, and Kubernetes training course for Python engineers. Docker and Cobrantize are essential skills for Python engineers these days. Through this course and a variety of real-world examples, you will learn a variety of technologies that can be used in science, machine learning, web applications, and microservices.

Here’s what you’ll learn in the Python in Containers course:

Building a container image using a Python program
Transfer image containers to Docker Hub and other image container archives
Running Jupiter notebook in Docker
Use Docker desktop version for Windows Pro and MacOS
Use the Docker Toolkit for Windows Home
Building virtual machines with Docker using Docker Machine
Acquire Dockerfile technology to automate container image builds
Build a custom video container from scratch
Use official Python images
Flask and Django multi-container development design
Automate multi-container development using Docker Compose
Containerize flow tensor models into microservices
Develop complex multi-container applications on Docker Swarm and Kubernetes
Using Kubernetes with Minikube on your development host
Kubernetes objects include: Pod, Pod Controller: ReplicaSet, Deployment, Job, CronJob, Service, Ingress, and Persistent Volume.
Creating a Kubernetes object template file
Monitor and manage applications in Kubernetes
Run containers using NVIDIA GPU acceleration