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Sherif A. Tawfik Abbas

In this 1-hour long project-based course, you will learn how to perform deep filter operations over 1, 2 and 3 relationships. You will learn how to use the “in” field lookup to create a filter inside a filter. You will discover the difference between using a comma in a filter call and nesting filters via an example, and will see the difference between the implementation of the “comma” in the filter and the exclude methods.

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In this 1-hour long project-based course, you will learn how to perform deep filter operations over 1, 2 and 3 relationships. You will learn how to use the “in” field lookup to create a filter inside a filter. You will discover the difference between using a comma in a filter call and nesting filters via an example, and will see the difference between the implementation of the “comma” in the filter and the exclude methods.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

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What's inside

Syllabus

Project Overview
Querying over relationships in Django can be challenging if one does not know the fine details of how the filter and exclude methods operate over relationships. This project will bridge the knowledge gap. You will perform deep filter operations over 1, 2 and 3 relationships. You will learn how to use the “in” field lookup to create a filter inside a filter. You will discover the difference between using a comma in a filter call and nesting filters via an example, and will see the difference between the implementation of the “comma” in the filter and the exclude methods.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Thoroughly investigates querying over relationships in Django, a vital component for data management
Enhances understanding of deep filter operations, empowering learners to effectively query complex relationships
Imparts knowledge on using the 'in' field lookup to create filters within filters, a technique for precise data retrieval
Emphasizes the distinction between comma usage and nested filters in filter calls, clarifying common misconceptions
Compares the implementation of the 'comma' in filter and exclude methods, providing a nuanced understanding of their functionality
Exclusively catered to learners residing in North America, limiting accessibility for those in other regions

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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 Query Django models across relationships with these activities:
Review linear algebra and calculus
Reviewing linear algebra and calculus will help you refresh your skills in these essential mathematical topics, which are important for deep learning.
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  • Review your notes from your linear algebra and calculus classes.
  • Complete some practice problems.
  • Take a practice test.
Review machine learning and data science concepts
Reviewing machine learning and data science concepts will help you refresh your knowledge in these areas, which are essential for deep learning.
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  • Review your notes from your machine learning and data science classes.
  • Complete some practice problems.
  • Take a practice test.
Review "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
Reviewing this book will help you build a strong foundation in deep learning concepts and techniques, which will be essential for your success in this course.
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  • Read the book carefully, taking notes as you go.
  • Complete the practice exercises at the end of each chapter.
  • Summarize the key concepts of each chapter in your own words.
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Join a study group or discussion forum for deep learning
Joining a study group or discussion forum will allow you to connect with other students, share knowledge, and get help with challenging concepts.
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  • Find a study group or discussion forum that is relevant to your interests.
  • Introduce yourself and participate in the discussions.
  • Ask questions and share your own insights.
Solve Leetcode problems on deep learning topics
Solving LeetCode problems will help you develop your problem-solving skills and reinforce your understanding of deep learning concepts.
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  • Identify LeetCode problems that are relevant to the topics covered in the course.
  • Attempt to solve the problems on your own.
  • Review the solutions and explanations provided by LeetCode.
Create a blog post or video tutorial on a deep learning topic
Creating a blog post or video tutorial will help you solidify your understanding of deep learning concepts and share your knowledge with others.
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  • Choose a deep learning topic that you are interested in and have a good understanding of.
  • Research the topic thoroughly and gather relevant information.
  • Write a blog post or create a video tutorial that explains the topic in a clear and concise way.
  • Share your blog post or video tutorial with others.
Contribute to an open-source deep learning project
Contributing to an open-source deep learning project will allow you to gain practical experience and make a valuable contribution to the community.
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  • Find an open-source deep learning project that you are interested in.
  • Review the project's documentation and code.
  • Identify an area where you can make a contribution.
  • Submit a pull request with your changes.
Build a deep learning model for a real-world problem
Building a deep learning model for a real-world problem will allow you to apply your skills to a practical problem and make a real impact.
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  • Identify a real-world problem that you can solve with deep learning.
  • Gather the necessary data.
  • Build a deep learning model and train it on the data.
  • Evaluate the performance of your model.
  • Deploy your model and use it to solve the real-world problem.

Career center

Learners who complete Query Django models across relationships will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts use logic and math skills to perform deep filter operations over large datasets, often across multiple relationships. This course teaches you how to perform complex filter operations over 1, 2, and 3 relationships, which can be essential for uncovering insights from data. By taking this course, you'll gain the skills needed to succeed as a Data Analyst.
Database Administrator
Database Administrators are responsible for maintaining and optimizing databases, which often involve complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for troubleshooting and optimizing database performance. By taking this course, you'll gain the skills needed to succeed as a Database Administrator.
Software Engineer
Software Engineers design, develop, and maintain software applications, which often involve complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for building efficient and scalable software applications. By taking this course, you'll gain the skills needed to succeed as a Software Engineer.
Data Scientist
Data Scientists use scientific methods to extract knowledge and insights from data, which often involves complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for building predictive models and making data-driven decisions. By taking this course, you'll gain the skills needed to succeed as a Data Scientist.
Business Analyst
Business Analysts use data to identify and solve business problems, which often involves complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for understanding business processes and making data-driven recommendations. By taking this course, you'll gain the skills needed to succeed as a Business Analyst.
Product Manager
Product Managers are responsible for the development and launch of new products, which often involves complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for understanding customer needs and developing successful products. By taking this course, you'll gain the skills needed to succeed as a Product Manager.
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns, which often involves complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for understanding customer behavior and developing effective marketing campaigns. By taking this course, you'll gain the skills needed to succeed as a Marketing Manager.
Sales Manager
Sales Managers are responsible for leading and motivating sales teams, which often involves complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for understanding customer needs and developing effective sales strategies. By taking this course, you'll gain the skills needed to succeed as a Sales Manager.
Customer Success Manager
Customer Success Managers are responsible for ensuring that customers are satisfied with their products or services, which often involves complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for understanding customer needs and developing effective customer success strategies. By taking this course, you'll gain the skills needed to succeed as a Customer Success Manager.
Operations Manager
Operations Managers are responsible for the day-to-day operations of a business, which often involves complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for understanding business processes and making data-driven decisions. By taking this course, you'll gain the skills needed to succeed as an Operations Manager.
Financial Analyst
Financial Analysts use financial data to make investment recommendations, which often involves complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for understanding financial markets and making sound investment decisions. By taking this course, you'll gain the skills needed to succeed as a Financial Analyst.
Management Consultant
Management Consultants help businesses to improve their performance, which often involves complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for understanding business processes and developing effective solutions. By taking this course, you'll gain the skills needed to succeed as a Management Consultant.
Human Resources Manager
Human Resources Managers are responsible for the management of employees, which often involves complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for understanding employee needs and developing effective HR strategies. By taking this course, you'll gain the skills needed to succeed as a Human Resources Manager.
Project Manager
Project Managers are responsible for the planning and execution of projects, which often involves complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for understanding project requirements and developing effective project plans. By taking this course, you'll gain the skills needed to succeed as a Project Manager.
Recruiter
Recruiters are responsible for finding and hiring qualified candidates, which often involves complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for understanding candidate qualifications and developing effective recruiting strategies. By taking this course, you'll gain the skills needed to succeed as a Recruiter.

Reading list

We've selected eight 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 Query Django models across relationships.
This comprehensive book provides an in-depth exploration of Django's architecture, design patterns, and best practices. It empowers readers to build scalable, maintainable, and secure Django applications.
Classic guide to Django. It good resource for learning Django in-depth, and it can be helpful for understanding the concepts covered in this course. It is somewhat out of date, but still has valuable information.
Provides a comprehensive introduction to Django, covering the framework's core concepts, features, and best practices. Its clear explanations and hands-on examples make it suitable for beginners and experienced developers alike.
This beginner-friendly book offers a gentle introduction to Django's core concepts and features. Its approachable style and clear explanations make it an excellent starting point for those new to web development with Django.
Practical guide to building RESTful web services with Django. It covers topics such as RESTful design, JSON and XML serialization, and authentication. It can be helpful for understanding the concepts covered in this course, but it is more geared towards experienced Django developers.
Good resource for learning Django. It covers the basics of Django, and it can be helpful for understanding the concepts covered in this course.
Collection of Django examples. It can be helpful for finding solutions to specific problems, but it is not a comprehensive guide to Django.
Collection of best practices for Django development. It can be helpful for learning how to write more efficient and secure Django code, but it is not a comprehensive guide to Django.

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