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Patrick Ester and Ben Shaw

Code and run Django websites without installing anything!

This course is designed for learners who are familiar with Python and basic Django skills (similar to those covered in the Django for Everybody specialization). The modules in this course cover connecting to external APIs, task queuing, and pulling together the topics across the specialization in capstone projects.

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Code and run Django websites without installing anything!

This course is designed for learners who are familiar with Python and basic Django skills (similar to those covered in the Django for Everybody specialization). The modules in this course cover connecting to external APIs, task queuing, and pulling together the topics across the specialization in capstone projects.

To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to slowly building features, resulting in large coding projects at the end of the course.

Course Learning Objectives:

Connecting to external APIs

Implement task queuing

Leverage various Django skills to create portfolio-quality projects

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What's inside

Syllabus

Requests Module and External APIs
Welcome to Week 1 of the Advanced Django: External APIs and Task Queuing course. These assignments cover working with APIs including OMDB and GitHub. The module ends with graded coding exercises.
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Task Queuing
Welcome to Week 2 of the Advanced Django: External APIs and Task Queuing course. These assignments cover working with asynchronous tasks using Celery and Django Signals. The module ends with graded coding exercises.
Capstone Part 1
Welcome to Week 3 of the Advanced Django: External APIs and Task Queuing course. These assignments help you to put to use all of the skills you have covered in the specialization. This is part 1 of the capstone project The module ends with graded coding exercises.
Capstone Part 2
Welcome to Week 4 of the Advanced Django: External APIs and Task Queuing course. These assignments help you to put to use all of the skills you have covered in the specialization. This is part 2 of the capstone project The module ends with graded coding exercises.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Suits individuals with Python and basic Django experience
Provides opportunities to connect with external APIs and implement task queuing
Focuses on hands-on learning through runnable code examples and various assessment items
Ideally taken after completing the Django for Everybody specialization
Relies on self-paced learning without video instruction
Assumes learners have access to the necessary hardware and internet connectivity

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Advanced Django: External APIs and Task Queuing with these activities:
Review Django basics
Ensure a solid foundation by reviewing the basics of Django before starting the course.
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  • Review the Django documentation
  • Complete a Django tutorial
  • Create a simple Django project
Join a Django study group
Engage with fellow students and reinforce your understanding by joining a Django study group.
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  • Find a Django study group to join
  • Participate in regular study sessions
  • Discuss course materials and assignments
  • Collaborate on projects and assignments
Practice debugging Django code
Improve your ability to debug Django code by practicing with debugging exercises.
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  • Find a list of Django debugging exercises
  • Work through the exercises, attempting to fix the code
  • Check your solutions against the provided answers
Seven other activities
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Show all ten activities
Follow a tutorial on task queuing with Celery
Deepen your understanding of task queuing by following a guided tutorial that demonstrates how to use Celery with Django.
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  • Find a tutorial on task queuing with Celery
  • Follow the tutorial to set up Celery in your Django project
  • Create a task and add it to the queue
  • Write a consumer to process the task
  • Test your task queuing setup
Practice Django development drills
Put your Python and Django knowledge to the test in a series of exercises to boost your understanding.
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  • Set up a virtual environment for Django development
  • Create a Django project and app
  • Build a simple model, view, and template
  • Deploy your Django app on a cloud platform
Build a Django project that integrates an external API
Create a Django project that demonstrates your ability to connect to and consume data from external APIs.
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  • Identify an external API to integrate with
  • Create a new Django project
  • Install the necessary Django packages
  • Configure Django settings to connect to the external API
  • Write views and templates to display the external API data
Follow tutorials on Django REST Framework
Stay ahead of the curve by exploring Django REST Framework tutorials to expand your skillset in building robust APIs.
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  • Find reputable online tutorials
  • Follow along with the tutorials, building a REST API step-by-step
  • Experiment with different Django REST Framework features
Create a study guide that summarizes the course content
Reinforce your understanding of the course content by creating a comprehensive study guide.
Show steps
  • Review the course materials
  • Identify key concepts and topics
  • Summarize the key information in a clear and concise manner
  • Organize the study guide into sections and subsections
  • Review and refine your study guide
Participate in a Django hackathon
Challenge yourself and enhance your Django skills by participating in a hackathon.
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  • Find a Django hackathon to participate in
  • Form a team or work independently
  • Develop a creative and innovative Django project
  • Submit your project to the hackathon
Contribute to a Django open-source project
Gain hands-on experience and contribute to the Django community by contributing to an open-source project.
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Show steps
  • Find a Django open-source project to contribute to
  • Identify a bug or feature to work on
  • Create a pull request with your changes
  • Collaborate with the project maintainers

Career center

Learners who complete Advanced Django: External APIs and Task Queuing will develop knowledge and skills that may be useful to these careers:
Application Developer
Application Developers design, develop, and test software applications. This course will help you develop the skills you need to build Django web applications, which are in high demand in the tech industry. In particular, you will learn how to connect to external APIs and implement task queuing, which are both essential skills for building modern web applications.
Software Engineer
Software Engineers design, develop, and test software systems. This course will help you build a strong foundation in Django, one of the most popular web frameworks for building web applications. You will learn how to write clean and maintainable code, and you will gain experience working with external APIs and task queuing, which are both important skills for Software Engineers.
Web Developer
Web Developers design, develop, and maintain websites. This course will help you build a strong foundation in Django, one of the most popular web frameworks for building web applications. You will learn how to write clean and maintainable code, and you will gain experience working with external APIs and task queuing, which are both important skills for Web Developers.
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. This course will help you develop the skills you need to work with data in Django, including how to connect to external APIs and implement task queuing. These skills are essential for Data Analysts who work with large datasets.
Cloud Engineer
Cloud Engineers design, build, and maintain cloud-based infrastructure. This course will help you build a strong foundation in Django, which is a popular web framework for building cloud-based applications. You will also learn how to implement task queuing, which is an important skill for Cloud Engineers who need to manage the deployment and scaling of web applications in the cloud.
DevOps Engineer
DevOps Engineers build and maintain software systems. This course will help you build a strong foundation in Django, one of the most popular web frameworks for building web applications. You will also learn how to implement task queuing, which is an important skill for DevOps Engineers who need to manage the deployment and scaling of web applications.
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models. This course will help you build a strong foundation in Django, which is a popular web framework for building machine learning applications. You will also learn how to implement task queuing, which is an important skill for Machine Learning Engineers who need to manage the training and deployment of machine learning models.
Data Scientist
Data Scientists use data to build models and make predictions. This course will help you develop the skills you need to work with data in Django, including how to connect to external APIs and implement task queuing. These skills are essential for Data Scientists who work with large datasets.
Project Manager
Project Managers plan and execute projects. This course will help you develop the skills you need to manage software development projects, including how to work with developers and engineers. You will also learn how to connect to external APIs and implement task queuing, which are important skills for Project Managers who need to manage the development and launch of new software products.
Product Manager
Product Managers lead the development and launch of new products. This course will help you develop the skills you need to understand the technical aspects of product development, including how to work with developers and engineers. You will also learn how to connect to external APIs and implement task queuing, which are important skills for Product Managers who need to manage the development and launch of new products.
Information Security Analyst
Information Security Analysts protect computer systems and networks from unauthorized access. This course will help you develop the skills you need to understand the technical aspects of information security, including how to work with data and technology. You will also learn how to connect to external APIs and implement task queuing, which are important skills for Information Security Analysts who need to protect computer systems and networks from unauthorized access.
Technical Writer
Technical Writers create documentation for software and other technical products. This course will help you develop the skills you need to write clear and concise technical documentation. You will also learn how to connect to external APIs and implement task queuing, which are important skills for Technical Writers who need to create documentation for software and other technical products.
Network Engineer
Network Engineers design, build, and maintain computer networks. This course will help you develop the skills you need to understand the technical aspects of network engineering, including how to work with data and technology. You will also learn how to connect to external APIs and implement task queuing, which are important skills for Network Engineers who need to design, build, and maintain computer networks.
Systems Administrator
Systems Administrators manage computer systems and networks. This course will help you develop the skills you need to understand the technical aspects of systems administration, including how to work with data and technology. You will also learn how to connect to external APIs and implement task queuing, which are important skills for Systems Administrators who need to manage computer systems and networks.
Business Analyst
Business Analysts analyze business processes and identify opportunities for improvement. This course will help you develop the skills you need to understand the technical aspects of business analysis, including how to work with data and technology. You will also learn how to connect to external APIs and implement task queuing, which are important skills for Business Analysts who need to analyze data and identify opportunities for improvement.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Advanced Django: External APIs and Task Queuing.
Provides a comprehensive overview of advanced Django topics, such as REST APIs, task queuing, and deployment. It valuable resource for developers who want to learn how to build complex and scalable Django applications.
Provides a comprehensive overview of Python for data analysis. It valuable resource for developers who want to learn how to use Python to manipulate, analyze, and visualize data.
Provides a comprehensive overview of deep learning with Python. It valuable resource for developers who want to learn how to use deep learning to solve real-world problems.
Provides a comprehensive overview of natural language processing with Python. It valuable resource for developers who want to learn how to use natural language processing to solve real-world problems.
Provides a comprehensive overview of Python for finance. It valuable resource for developers who want to learn how to use Python to solve real-world problems in the finance industry.
Provides a comprehensive overview of Python for web development. It valuable resource for developers who want to learn how to use Python to build web applications.
Provides a comprehensive overview of Python for data science. It valuable resource for developers who want to learn how to use Python to solve real-world problems in the data science industry.
Provides a comprehensive overview of Python for machine learning. It valuable resource for developers who want to learn how to use Python to solve real-world problems in the machine learning industry.

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