Description
Python in Containers is a training course on Containers, Docker and Kubernetes for Python engineers. Docker and Kubernetes are essential skills for Python engineers these days. With the help of this course and its 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:
- Building a Container Image with a Python program
- Move container images to Docker Hub and other image container repositories
- Running Jupiter Notebooks on Docker
- Use the Docker desktop version for Windows Pro and MacOS
- Using the Docker toolkit for Windows Home
- Using Docker Machine to create a virtual machine with Docker
- Mastering Dockerfile to Automate Container Image Build
- Building customized image containers from scratch
- Use official Python images
- Flask and Django multi-container development design
- Automating Multi-Container Development with Docker Compose
- Containerization of Tensor Flow models to microservices
- Development of complex and multi-container applications in Docker Swarm and Kubernetes
- Using Kubernetes with Minikube on development hosts
- Kubernetes objects: including Pods, Pod Controllers: ReplicaSet, Deployment, Job, CronJob, Services, Ingress and Persistent Volumes
- Writing Kubernetes object template files
- Monitoring and managing applications in Kubernetes
- Running containers using NVIDIA GPU acceleration
Details of the Python in Containers course:
Publisher: Udemy and Packt
Instructors: Chris Celmer
English language
Education level: Introductory
Number of courses: 114
Duration: 23 hours and 48 minutes
Course topics on June 2020:
Python in Containers course prerequisites:
Basic Python Programming Skills
Basic understanding of Linux is a plus
Pictures
Python in Containers course introduction video:
Installation guide
After Extract, view with your favorite Player.
Subtitle: None
Quality: 1080p
download link
Password file(s): www.downloadly.ir
Size
6.6 GB