No Shortcuts Guide to Django RESTful APIs with Docker

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No Shortcuts Guide to Django RESTful APIs with Docker
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No Shortcuts Guide to Django RESTful APIs with Docker CourseCreated by Alpha Omondi Ogilo with 13.5 hours on-demand video course

Build a functional API with Docker, Celery, Redis, Flower, Nginx, Nginx Proxy manager, Portainer and more

This No Shortcuts Guide to Django RESTful APIs with Docker Course is designed for intermediate Python developers with at least 1 year of web development experience or more. It is a comprehensive guide to building a production-ready, detailed Django REST API that runs on a web server powered by NGINX, on a custom domain name, and served securely over HTTPS with SSL Certificates from Letsencrypt. The course is taught by Alpha Omondi Ogilo, who has over 10 years of experience in software development and has worked with companies such as IBM, Microsoft, and Google.

The No Shortcuts Guide to Django RESTful APIs with Docker Course covers a wide range of topics, including Docker and running multiple containers, securing a Django REST API with HTTPS using SSL Certificates, REST APIs with Django and Django Rest Framework Class-Based Views, shell scripting, asynchronous tasks with Celery and Redis, asynchronous tasks monitoring with Flower, and much more. You will also learn how to use Docker with Celery, Redis, Flower with Django REST Framework, how to use Reverse Proxies with NGINX and NGINX Proxy Manager, how to manage multiple Docker containers with Portainer, how to use shell scripts to automate and monitor processes, how to work with Postgres within a Docker container, including how to perform backups using shell scripts. You will also learn how to set up an Ubuntu server running Django over a Domain name and how to use makefiles to make working with Docker easier.

The course is fully optimized and includes Python test coverage using coverage logging in Django Token-Based Authentication. You will also learn how to work with emails using Mailhog in development and Mailgun in production.

Overall, this course is an excellent resource for anyone looking to build a functional API with Docker, Celery, Redis, Flower, Nginx, Nginx Proxy manager, Portainer and more. It is well-structured and easy to follow along with. I hope this review helps you make an informed decision about whether this course is right for you.

What you’ll learn in No Shortcuts Guide to Django RESTful APIs with Docker Course

  • You will learn how to use Docker with Celery, Redis, Flower with Django REST Framework
  • You will learn how to use Reverse Proxies with NGINX and NGINX Proxy Manager
  • You will learn how Secure an API with HTTPS with SSL Certificates from Letsencrypt
  • You will be Introduced to API testing with Pytest using factories and fixtures
  • You will learn how manage multiple Docker containers with Portainer
  • You will learn how to use shell scripts to automate and monitor processes
  • You will learn about UUID’s (advantages and disadvantages) and how pseudo primary keys solve this.
  • You will learn how to implement Asynchronous tasks with Celery and Redis
  • You will learn how to Serve static and media files with Nginx and Whitenoise.
  • You will learn how implement Asynchronous tasks monitoring with Flower
  • You will learn how to work with Postgres within a Docker container, including how to perform backups using shell scripts.
  • You will learn how to setup an Ubuntu server, running Django over a Domain name.
  • You will learn how to use makefiles to make working with Docker easier.
  • Python Test coverage using coverage
  • Logging in Django
  • Token Based Authentication
  • Working with emails using Mailhog in development and Mailgun in production.

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Who this course is for:

  • Intermediate Python Developers curious about how to use Django REST Framework with shell scripts, Docker, Docker, Celery, Redis, Rabbitmq, Flower and Nginx. You will learn everything you need to know to combine these technologies in a production build by leveraging other tools such as Portainer, NGINX Proxy manager among others
  • Intermediate Python Developers with at least 1 year of experience, more is better
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