Description
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. Using this course and a variety of hands-on examples, you will learn a variety of skills for use in 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 create a virtual machine with Docker
- Acquire skills in Dockerfile to automate the creation of container images
- Create custom video containers from scratch
- Use official Python images
- Flask and Django multi-container development design
- Automate multi-container development with Docker Compose
- Containerizing Stream Tensor Models into 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 model files
- Monitor and manage applications in Kubernetes
- Run containers using NVIDIA GPU acceleration
Python in Containers Course Specifications:
Publisher: Udemy & Packt
Instructors: Kris Celmer
French language
Level: Initiation
Number of lessons: 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
Pictures
Introducing the Python in Containers course video:
Installation guide
After ripping, watch with your favorite player.
Subtitle: None
Quality: 1080p
Download link
File password(s): ngaur.com
Cut
6.6 GB