Udemy - Python in Containers 2020-3

Udemy – Python in Containers 2020-3


Python in Containers is a Containers, Docker, and Kubernetes training course for Python engineers. Docker and Cobrantize are essential skills for Python engineers these days. With the help of this course and a variety of practical examples, you will learn various skills for use in data science and machine learning or web applications and microservices.

What you will learn in the Python in Containers course:

  • Build a Container Image with a Python program
  • Transfer image container to Docker Hub and other image container archives
  • Run Jupiter notebooks on Docker
  • Use the desktop version of Docker for Windows Pro and macOS
  • Use the Docker toolkit for Windows Home
  • Use Docker Machine to build a virtual machine with Docker
  • Gain skills in Dockerfile for Automate Container Image Build
  • Build custom video containers from the ground up
  • Use official Python images
  • Flask and Django multi-container development design
  • Automate Multi-Container Development with Docker Compose
  • Container flow tensor models to microservices
  • Development of complex and multi-container applications in Docker Swarm and Kubernetes
  • Use Kubernetes with Minikube on development hosts
  • Kubernetes objects: including Pods, Pod Controllers: ReplicaSet, Deployment, Job, CronJob, Services, Ingress, and Persistent Volumes
  • Write Kubernetes object template files
  • Monitor and manage applications in Kubernetes
  • Run containers using NVIDIA GPU acceleration

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Python in Containers course specifications:

Publisher: Udemy & Packt
Instructors: Kris Celmer
Language: English
Level: Introductory
Number of Courses: 114
Duration: 23 hours and 48 minutes

Course topics in 2020/6:



Prerequisites for the Python in Containers course:

Basic Python Programming Skills
A basic understanding of Linux is a plus




Installation guide

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Quality: 1080p

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Download Part 1 – 2 GB
Download Part 2 – 2 GB
Download Section 3 – 2 GB
Download section 4 – 600 MB
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