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Sherif A. Tawfik Abbas
In this 1-hour long project-based course, you will learn how to use the QuerySet methods and the Q objects to query data in Django. You will generate a sample project and create a view that populates the database with sample data. You will then learn the...
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In this 1-hour long project-based course, you will learn how to use the QuerySet methods and the Q objects to query data in Django. You will generate a sample project and create a view that populates the database with sample data. You will then learn the syntax of keyword arguments to construct queries using the QuerySet methods. You will create complex queries using the Q objects, and finally you will learn how to query across relationships. 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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Builds a strong foundation for beginners in Django queries
Practical application of Django queries through hands-on project work
Provides a solid understanding of the QuerySet methods and Q objects
Develops skills in complex query construction using Q objects
Taught by industry expert with extensive experience in Django development

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Reviews summary

Great for django querying beginners

Students who have reviewed this course gave it 5 out of 5 stars. They report that the course is a great learning experience for people who are new to querying in Django. It explains concepts in a clear and structured way. However, some learners may wish that there were more advanced content for learners who already know the basics.
Great Django Querying course for beginners
"good"
The course is great for beginners but could use more advanced content
"Awesome...I just want to know more about how Model.objects.filter(condition A and Condition B)is different than filter(condition A).filter(condition B) in model has relationship"

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 data in Django with these activities:
Review Django documentation
Review the official Django documentation to refresh your understanding of the concepts covered in the course.
Show steps
  • Read the QuerySet documentation.
  • Read the Q objects documentation.
  • Skim through the examples provided in the documentation.
Seek Mentorship
Identify and connect with experienced Django developers who can provide guidance and support on your learning journey.
Show steps
  • Network at meetups and conferences.
  • Join online Django communities and forums.
  • Reach out to potential mentors via email or LinkedIn.
Website and database configuration
Configure your local development environment and set up a database to practice writing queries.
Browse courses on Project Setup
Show steps
  • Install the Django framework and create a new project.
  • Create a database and configure Django to use it.
  • Run Django migrations to create the database tables.
  • Load sample data into the database.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Study group
Join a study group to discuss the concepts of QuerySet and Q objects with your peers.
Show steps
  • Find a study group or create your own.
  • Set regular meeting times.
  • Discuss the course material and share your understanding.
Django QuerySet methods practice
Practice using Django's QuerySet methods to filter and retrieve data from your database.
Browse courses on Filtering Data
Show steps
  • Create a QuerySet for a specific model.
  • Use the filter() method to filter the QuerySet by specific criteria.
  • Use the exclude() method to exclude specific criteria from the QuerySet.
Django Query Builder
Practice using the QuerySet and Q objects to create complex queries with Django Query Builder.
Show steps
  • Generate a sample Django project.
  • Create a simple model and populate the database with data.
  • Use Query Builder to generate complex queries.
  • Analyze the generated SQL queries.
Django Q objects tutorial
Follow a tutorial on using Django's Q objects to construct complex queries.
Show steps
  • Create Q objects to represent different criteria.
  • Combine Q objects using logical operators (and, or, not).
Django REST Framework Tutorial
Follow a guided tutorial to learn how to use Django REST Framework with QuerySet and Q objects.
Show steps
  • Find a comprehensive Django REST Framework tutorial.
  • Follow the tutorial step-by-step.
  • Implement the concepts in your own Django project.
Personalize Django Queries
Start a project where you create a custom Django application that utilizes QuerySet and Q objects for personalized data retrieval.
Show steps
  • Define the scope and requirements of your project.
  • Create a Django project and app for your project.
  • Implement the database models and views using QuerySet and Q objects.
  • Test and refine your project.
Build a Django app
Apply your understanding of Django QuerySet and Q objects by building a simple Django application.
Show steps
  • Plan the features and functionality of your app.
  • Create a Django project and app.
  • Implement the database models using QuerySet and Q objects.
  • Create views and templates for user interaction.
  • Test and deploy your app.
Django Hackathon
Participate in a Django hackathon to showcase your skills in using QuerySet and Q objects for complex data manipulation.
Show steps
  • Find a Django hackathon or create your own.
  • Form a team or work individually.
  • Develop a Django application that solves a specific problem.
  • Submit your project and present it to the judges.

Career center

Learners who complete Query data in Django will develop knowledge and skills that may be useful to these careers:
Database Designer
A Database Designer designs and builds databases. Django is a popular web framework that uses a database to store data, so this course may be helpful in teaching you how to use Django to interact with databases. This can be helpful for Database Designers who need to be able to design and build databases used by Django web applications.
Data Architect
A Data Architect designs, builds, and maintains data systems. Django is a popular web framework that uses a database to store data, so this course may be helpful in teaching you how to use Django to interact with databases. This can be helpful for Data Architects who need to be able to design and build data systems that use Django.
Software Engineer
A Software Engineer designs, develops, and maintains software systems. Django is a popular web framework that uses Python, so this course may be helpful in teaching you how to use Django to build web applications. This can be helpful for Software Engineers who need to be able to develop web applications using Django.
Database Administrator
A Database Administrator designs, implements, and maintains databases. Django is a popular web framework that uses a database to store data, so this course may be helpful in teaching you how to use Django to interact with databases. This can be helpful for Database Administrators who need to be able to manage databases used by Django web applications.
Web Developer
A Web Developer designs, develops, and maintains websites. Django is a popular web framework that uses Python, so this course may be helpful in teaching you how to use Django to build web applications. This can be helpful for Web Developers who need to be able to develop web applications using Django.
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines and data infrastructure. Django is a popular web framework that uses a database to store data, so this course may be helpful in teaching you how to use Django to interact with databases. This can be helpful for Data Engineers who need to be able to manage databases used by Django web applications.
Software Architect
A Software Architect designs, develops, and maintains software systems. Django is a popular web framework that uses Python, so this course may be helpful in teaching you how to use Django to build web applications. This can be helpful for Software Architects who need to be able to design and build software systems that use Django.
Research Analyst
A Research Analyst gathers, analyzes, and interprets data to find patterns, trends, and other useful information. This course may be useful in teaching you how to use Django to query and analyze data, which is a common task for Research Analysts.
Information Security Analyst
An Information Security Analyst protects data and information from unauthorized access, use, disclosure, disruption, modification, or destruction. Django is a popular web framework that can be used to build secure web applications, so this course may be helpful in teaching you how to use Django to build and deploy secure web applications. This can be helpful for Information Security Analysts who need to be able to build and deploy secure web applications using Django.
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models. Django is a popular web framework that can be used to build web applications that use machine learning, so this course may be helpful in teaching you how to use Django to build and deploy machine learning models. This can be helpful for Machine Learning Engineers who need to be able to build and deploy machine learning models using Django.
Statistician
A Statistician collects, analyzes, interprets, and presents data. This course may be useful in teaching you how to use Django to query and analyze data, which is a common task for Statisticians.
Data Integration Specialist
A Data Integration Specialist integrates data from multiple sources into a single, unified view. Django is a popular web framework that can be used to build web applications that integrate data from multiple sources, so this course may be helpful in teaching you how to use Django to build and deploy data integration solutions. This can be helpful for Data Integration Specialists who need to be able to build and deploy data integration solutions using Django.
Business Intelligence Analyst
A Business Intelligence Analyst gathers, analyzes, and interprets data to find patterns, trends, and other useful information. This course may be useful in teaching you how to use Django to query and analyze data, which is a common task for Business Intelligence Analysts.
Data Analyst
A Data Analyst gathers, analyzes, and interprets data to find patterns, trends, and other useful information. This course, Query data in Django, may be useful in teaching you how to query data using Django's QuerySet methods and Q objects. This can be helpful for Data Analysts who need to be able to extract and analyze data from various sources.
Data Scientist
A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course may be useful in teaching you how to use Django to query and analyze data, which is a common task for Data Scientists.

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 Query data in Django.
This is the official Django book, written by the creators of the framework. It provides a comprehensive overview of Django, covering everything from basic concepts to advanced topics. It valuable resource for Django developers of all levels.
Provides a comprehensive overview of Django, covering all the core concepts and techniques for building web applications. It is particularly useful for beginners who are new to Django and for those who want to deepen their understanding of the framework.
Comprehensive guide to machine learning with Python. It covers all the core concepts and techniques for working with data, making it ideal for beginners and intermediate machine learning engineers.
Comprehensive guide to deep learning with Python. It covers all the core concepts and techniques for working with data, making it ideal for beginners and intermediate deep learning engineers.
Comprehensive guide to natural language processing with Python. It covers all the core concepts and techniques for working with data, making it ideal for beginners and intermediate natural language processing engineers.
Comprehensive guide to data science with Python. It covers all the core concepts and techniques for working with data, making it ideal for beginners and intermediate data scientists.
Practical guide to building Django web applications. It is packed with real-world examples and step-by-step instructions, making it ideal for beginners and intermediate Django developers.
Practical guide to building Django web applications. It is packed with real-world examples and step-by-step instructions, making it ideal for beginners and intermediate Django developers.
Practical guide to building Flask web applications. It is packed with real-world examples and step-by-step instructions, making it ideal for beginners and intermediate Flask developers.

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