Docker for Python Developers

1. Key Docker Concepts

In this section, we'll explore the fundamental concepts of Docker - a powerful tool for managing containers. Understanding these concepts will help you gain a deeper insight into how Docker works and how to effectively utilize it in your software development and deployment processes.

What is Docker?

Containers, Dockerfile and Docker Commands

Docker Images

Installing the Docker Desktop

Docker Hub

2. Quick Start

This section will guide you step by step through the process of creating your first Dockerfiles - text files that contain instructions for automating the building of Docker images. You will learn how to create a Dockerfile for your application, including defining the base image, adding necessary components, configuring the environment, and installing dependencies.

How to use Python Image

Building and Running

Installing Libraries

Challenge 1: Requirements

3. Docker for Flask

The section titled "Docker for Flask Developers" offers an in-depth exploration of utilizing Docker for developing web applications based on the Flask framework for Python. In this section, you'll learn how to effectively use Docker to create, deploy, and manage Flask applications in an isolated and scalable container environment.

Preparing the Flask Project

Dockerignore File

Dockerfile for a simple Flask Project

Challenge 2: Docker and Flask

4. Advanced Concepts

This section delves into Docker Compose, a tool designed to simplify the management of multi-container Docker applications. By utilizing Docker Compose, users can define and run multi-container Docker applications with ease, streamlining the process of container orchestration.

Users

Docker Compose

PostgreSQL Image

Challenge 3: Docker Compose

Docker Images

In Docker, an image is a package that contains all the necessary files and settings for running an application. It includes everything needed to launch a separate container, including code, runtime environment, libraries, dependencies, and configuration files.

Images can be built using a Dockerfile, which describes the steps to create the image, including the base image, environment setup, and installation of necessary dependencies.

Each container is launched from an image. Containers are instances of images and can be created, started, stopped, removed, and moved to other systems.

By using images, Docker provides a standardized way of deploying applications, allowing developers to deploy applications on any environment that supports Docker, while providing isolation and separation of applications.

Creating a container from an image is similar to the process of cooking a dish according to a culinary recipe. You use the ingredients (software components) specified in the recipe (Dockerfile) and follow the instructions to obtain the final product — a container.

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Зміст курсу

Docker for Python Developers

1. Key Docker Concepts

What is Docker?Containers, Dockerfile and Docker Commands Docker Images Installing the Docker Desktop Docker Hub

2. Quick Start

How to use Python Image Building and Running Installing Libraries Challenge 1: Requirements

3. Docker for Flask

Preparing the Flask Project Dockerignore File Dockerfile for a simple Flask Project Challenge 2: Docker and Flask

4. Advanced Concepts

Users Docker Compose PostgreSQL Image Challenge 3: Docker Compose

Docker for Python Developers

Docker Images

Images can be built using a Dockerfile, which describes the steps to create the image, including the base image, environment setup, and installation of necessary dependencies.

Each container is launched from an image. Containers are instances of images and can be created, started, stopped, removed, and moved to other systems.

Все було зрозуміло?

Секція 1. Розділ 3