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Guided Project

Build a Movie Recommender with Django V2

Yan Luo

Django is a highly popular Python web framework designed for rapid and full-stack web app development. Many popular apps are built on Django, such as YouTube, Spotify, Dropbox, edX, and others.

Ideal for new and seasoned web developers, in this hands-on guided project, you will gain practical experience with the Django web framework by building a movie recommendation app. You will learn how to describe the fundamentals of Django, download and run a Django template app, and load data into an SQLite Database. You will also learn how to use Django Admin and Django HTML templates. After completion, you will have a solid and practical understanding of how to use the Django web framework. You’ll develop hands-on skills that employers value.

To complete this project, you will be provided with a Cloud-based IDE that already has many technologies, including Django, preinstalled, saving you the time and hassle of installation and setup. Also, note that this platform works best with current versions modern. browsers.

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What's inside

Learning objectives

After completing this hands-on guided project, you’ll be able to:
Describe the key components of the django web framework

Describe the basic principles of a recommendation system
Build a simple but effective personal movie recommender with django

After completing this hands-on guided project, you’ll be able to:
Describe the key components of the django web framework
Describe the basic principles of a recommendation system
Build a simple but effective personal movie recommender with django

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Read about what's good

what should give you pause

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Builds a strong foundation for beginners in Django and movie recommendation systems

Taught by Yan Luo, who is an expert in Django development

Offers hands-on practice through a guided project, which helps learners develop practical skills

Teaches fundamental concepts of Django and recommendation systems, which are essential for building web applications

Provides a Cloud-based IDE with preinstalled Django and other technologies, saving learners time and hassle

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Reviews summary

Hands-on django web project

According to students, this course offers a highly practical and hands-on experience in building a movie recommendation application using Django. Many learners found the Cloud-based IDE to be a significant advantage, eliminating common setup frustrations and allowing them to dive straight into coding. It's often praised as an excellent introduction to Django fundamentals, particularly beneficial for beginners in web development. However, some students noted that while the course delivers on building a recommender, the recommendation system logic itself is quite basic and not deeply analytical. A recurring point of feedback, even with the "V2" designation, is that some instructions or code examples can sometimes be slightly misaligned with the latest Django versions, requiring learners to troubleshoot independently.

An effective entry point for new web developers to Django.

"Excellent introduction to Django! As someone new to web development, this guided project was a perfect entry point."

"Good for beginners."

"The instructor was clear, and the labs were well-structured... helped me understand the MVT pattern."

Cloud-based IDE simplifies environment configuration.

"The cloud IDE made setup incredibly easy, which is usually a pain point."

"The cloud environment was a huge plus, no local setup headaches."

"IBM did a great job providing a stable environment."

Builds real-world skills through a guided project.

"This guided project was fantastic for getting hands-on with Django... it really solidified my understanding of Django's structure."

"A very practical course. The project-based approach works well... excellent for a quick build."

"Totally worth it! If you want a hands-on experience building a real Django app... this is it."

Some sections are rushed; some desire more detailed explanations.

"I found some parts rushed."

"Sometimes I wished for a bit more explanation on the 'why' behind certain Django conventions."

"I felt like I was just typing along without fully understanding. Expected more depth."

Instructions may not align with the absolute latest Django versions.

"Sometimes the instructions felt slightly off, maybe due to minor version changes. Still, workable."

"Ran into multiple errors trying to follow along because the Django version used in the project was different..."

"Some parts felt a little dated in approach, making me guess or look up documentation."

The recommender system itself is very basic.

"The recommendation logic itself was very basic, so don't expect deep learning here."

"The recommender logic was too simplistic for a course that mentions 'recommendation system.' Expected more depth."

"I felt the recommendation system part was a bit light, just basic filtering."

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 Guided Project: Build a Movie Recommender with Django V2 with these activities:

Read Introductory Python

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Reinforce Python fundamentals before diving deep into the Django framework.

View A Byte of Python on Amazon

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Begin reading the book from the start
Jot down notes on unfamiliar terms
Complete a project using what you have learned up to that point

Complete Coding Challenges

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Hone your coding skills and develop a deeper understanding of Django.

Browse courses on Web Development

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Find a coding challenge
Solve the challenge without any external help
Refactor your solution to improve efficiency and readability

Assist Fellow Django Learners

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Strengthen your understanding while helping others.

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Identify opportunities to help other Django learners
Provide guidance and support to those in need
Collaborate on projects and share knowledge

Two other activities

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Show all five activities

Create a Recommendation Engine

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Extend your Django knowledge by building a real-world recommendation engine.

Browse courses on Recommendation Systems

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Gather data for building your system
Implement machine learning algorithms for recommendations
Create a user interface for your recommendation engine
Deploy your recommendation engine and evaluate its performance

Organize Course Resources

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Enhance your absorption and retention of course materials.

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Gather all course materials
Create a system for organizing your materials
Review your materials regularly

Career center

Learners who complete Guided Project: Build a Movie Recommender with Django V2 will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 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 Guided Project: Build a Movie Recommender with Django V2.

Practical Recommender Systems

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Walking engineers through building a complete movie recommendation platform, Kim Falk covers implicit feedback collection, collaborative filtering, matrix factorization, content-based filtering, and A/B evaluation pipelines. Clear architectural diagrams bridge cold-start heuristics with scalable production serving.

Practical Recommender Systems

Kindle Edition

Fluent Python

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Serves as the ultimate masterclass in idiomatic Python, guiding developers through data models, generators, metaprogramming, and concurrent concurrency patterns.

Guided Project

What's inside

Learning objectives

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Save this course

Reviews summary

Hands-on django web project

Activities

Career center

Reading list

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