Run Jupyter Notebooks in Docker . Use Docker Desktop for Windows Pro and MacOS and use Docker Toolbox for Windows Home . Master Dockerfile to Automate Container Image Build . Automate Multi-Container Deployments with Docker Compose . Containerize TensorFlow models into Microservices with Docker Swarm . Use Python Official Images to create Python official images for Docker . Design Flask and Django multi-Container deployments using Docker Swarm and Kubernetes . Deploy complex, multi-container applications in Docker Swarm or Kubernetses. Use Docker to create Virtual Machines with Docker Machine to create virtual machines with Docker Software. Use Python to create Docker Virtual Machines .
What you’ll learn in Python in Containers
- Build Container Image with Python Application in it
- Ship Container Photos to Docker Center and also various other Container Image Computer Registries
- Run Jupyter Notebooks in Docker
- Usage Docker Desktop Computer for Windows Pro and also MacOS
- Use Docker Tool Kit for Windows House
- Usage Docker Device to produce Online Machines with Docker Software Program
- Master Dockerfile to Automate Container Image Develop
- Create Custom-made Container Images from Scratch
- Usage Python Authorities Images
- Design Flask as well as Django Multi-Container Deployments
- Automate Multi-Container Releases with Docker Compose
- Containerize TensorFlow Designs into Microservices
- Deploy Complicated, Multi-Container Applications in Docker Swarm
- Deploy Facility, Multi-Container Application in Kubernetes
- Usage Kubernetes with Minikube on an Advancement Host
- Usage Kubernetes in Public Cloud (making use of example of Google Kubernetes Engine)
- Kubernetes Objects: Shucks, Sheathing Controllers: ReplicaSet, Implementation, Task, CronJob, Provider, Access, Persistent Volumes
- Creating Kubernetes Object Design Template Data
- Monitor as well as Manage Application in Kubernetes
- Execute Containers with NVIDIA GPU Acceleration
Description
Docker as well as Kubernetes are the Must-Have Skills for Python Enginner nowadays.
Whether your emphasis remains in Machine Learning & & Information Scientific research, or you use Python as General Shows Language, you have to understand Docker & & Kubernetes. Both create a basis of Modern Cloud Indigenous Applications built in Microservices Architecture.
Quotes from chosen program evaluations:
Who this course is for:
- Python Programmers
- Data Scientists
- Machine Learning Engineers
| File Name : | Python in Containers free download |
| Content Source: | udemy |
| Genre / Category: | Development |
| File Size : | 4.80 gb |
| Publisher : | Kris Celmer |
| Updated and Published: | 08 Aug,2022 |
