We may earn an affiliate commission when you visit our partners.
Sarah Holderness

In this short demo, Sarah Holderness will show you how to validate data classes with pydantic.

In this short demo, Sarah Holderness will show you how to validate data classes with pydantic.

Enroll now

Here's a deal for you

We found an offer that may be relevant to this course.
Save money when you learn. All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

What's inside

Syllabus

Validate Data Classes with Pydantic

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Validates data classes with Pydantic, which is a lightweight library that supports type annotation features
Taught by Sarah Holderness, who's an experienced instructor in data validation and software development
Short and to-the-point, suitable for learners who want a quick introduction to the topic

Save this course

Save Validate Data Classes with Pydantic to your list so you can find it easily later:
Save

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 Validate Data Classes with Pydantic with these activities:
Organize Course Materials
Improve your learning experience by organizing and reviewing course materials.
Show steps
  • Gather all course materials in one place.
  • Review the materials and make notes.
  • Create a system for organizing the materials for easy access.
Review Python Basics
Ensure a solid foundation by reviewing fundamental Python concepts.
Browse courses on Python Basics
Show steps
  • Go through your notes or online resources on Python basics.
  • Complete practice exercises to reinforce your understanding.
Join a Pydantic Study Group
Enhance your learning through collaborative discussions and problem-solving.
Browse courses on Pydantic
Show steps
  • Find or create a study group focused on pydantic.
  • Meet regularly with the group.
  • Discuss course materials, share knowledge, and work on projects.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow Pydantic Tutorial
Solidify your understanding of pydantic by following a guided tutorial.
Browse courses on Pydantic
Show steps
  • Find a comprehensive tutorial on pydantic.
  • Follow the tutorial step-by-step.
  • Take notes and ask questions if needed.
Practice Writing Data Classes
Reinforce your understanding of data classes by writing your own to validate data.
Browse courses on Data Classes
Show steps
  • Review the course materials on data classes.
  • Choose a real-world dataset that you want to validate.
  • Design data classes to represent the entities in your dataset.
  • Implement the data classes in your preferred programming language.
  • Write tests to validate the data classes using pydantic.
Attend a Pydantic Workshop
Gain practical experience and learn from experts by attending a pydantic workshop.
Browse courses on Pydantic
Show steps
  • Find a reputable pydantic workshop.
  • Register for the workshop.
  • Attend the workshop and participate actively.
  • Take notes and ask questions.
Write a Blog Post on Pydantic
Deepen your understanding of pydantic and improve your communication skills by writing a blog post.
Browse courses on Pydantic
Show steps
  • Choose a specific topic related to pydantic.
  • Research the topic thoroughly.
  • Write a well-structured blog post.
  • Edit and proofread your post.
  • Publish your blog post on a relevant platform.
Build a Data Validation Tool
Apply your skills by building a practical tool that solves a data validation problem.
Browse courses on Data Validation
Show steps
  • Identify a real-world problem related to data validation.
  • Design and implement a solution using pydantic.
  • Test and refine your tool.
  • Document your tool and make it available to others.

Career center

Learners who complete Validate Data Classes with Pydantic will develop knowledge and skills that may be useful to these careers:
Data Scientist
A Data Scientist uses data to build predictive models and solve business problems. This course on validating data classes with Pydantic may be useful for those looking to enter this field, as it provides a foundation in data validation techniques that are essential for ensuring the accuracy and reliability of data models.
Machine Learning Engineer
A Machine Learning Engineer builds and deploys machine learning models. This course on validating data classes with Pydantic may be useful for those looking to enter this field, as it provides a foundation in data validation techniques that are essential for ensuring the accuracy and reliability of machine learning models.
Business Analyst
A Business Analyst analyzes business processes and helps businesses improve their efficiency and effectiveness. This course on validating data classes with Pydantic may be useful for those looking to enter this field, as it provides a foundation in data validation techniques that are essential for ensuring the accuracy and reliability of data used in business analysis.
Statistician
A Statistician collects, analyzes, and interprets data to help businesses make informed decisions. This course on validating data classes with Pydantic may be useful for those looking to enter this field, as it provides a foundation in data validation techniques that are essential for ensuring the accuracy and reliability of data used in statistical analysis.
Data Architect
A Data Architect designs and manages data systems. This course on validating data classes with Pydantic may be useful for those looking to enter this field, as it provides a foundation in data validation techniques that are essential for ensuring the integrity of data systems.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course on validating data classes with Pydantic may be useful for those looking to enter this field, as it provides a foundation in data validation techniques that are essential for ensuring the accuracy and reliability of software applications.
Data Analyst
A Data Analyst gathers, cleans, and interprets data to help businesses make informed decisions. This course on validating data classes with Pydantic may be useful for those looking to enter this field, as it provides a foundation in data validation techniques that are essential for ensuring the accuracy and reliability of data analysis.
Database Administrator
A Database Administrator designs, implements, and maintains databases. This course on validating data classes with Pydantic may be useful for those looking to enter this field, as it provides a foundation in data validation techniques that are essential for ensuring the accuracy and reliability of data stored in databases.
Information Security Analyst
An Information Security Analyst protects data from unauthorized access, use, disclosure, disruption, modification, or destruction. This course on validating data classes with Pydantic may be useful for those looking to enter this field, as it provides a foundation in data validation techniques that are essential for ensuring the accuracy and reliability of data used in information security analysis.
Financial Analyst
A Financial Analyst analyzes financial data to help businesses make informed decisions. This course on validating data classes with Pydantic may be useful for those looking to enter this field, as it provides a foundation in data validation techniques that are essential for ensuring the accuracy and reliability of financial data.
Risk Analyst
A Risk Analyst identifies and manages risks to businesses. This course on validating data classes with Pydantic may be useful for those looking to enter this field, as it provides a foundation in data validation techniques that are essential for ensuring the accuracy and reliability of data used in risk analysis.
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines and systems. This course on validating data classes with Pydantic may be useful for those looking to enter this field, as it provides a foundation in data validation techniques that are essential for ensuring the integrity of data pipelines.
Auditor
An Auditor examines financial records to ensure that they are accurate and complete. This course on validating data classes with Pydantic may be useful for those looking to enter this field, as it provides a foundation in data validation techniques that are essential for ensuring the accuracy and reliability of financial data.
Compliance Analyst
A Compliance Analyst ensures that businesses comply with laws and regulations. This course on validating data classes with Pydantic may be useful for those looking to enter this field, as it provides a foundation in data validation techniques that are essential for ensuring the accuracy and reliability of data used in compliance analysis.
Data Governance Officer
A Data Governance Officer ensures that data is used in a consistent and ethical manner. This course on validating data classes with Pydantic may be useful for those looking to enter this field, as it provides a foundation in data validation techniques that are essential for ensuring the accuracy and reliability of data used in data governance.

Reading list

We've selected ten 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 Validate Data Classes with Pydantic.
Provides a comprehensive overview of reinforcement learning with Python, including coverage of data validation with Pydantic. It great resource for anyone who wants to learn more about reinforcement learning with Python.
Provides a comprehensive overview of machine learning with Python, including coverage of data validation with Pydantic. It great resource for anyone who wants to learn more about machine learning with Python.
Provides a comprehensive overview of deep learning with Python, including coverage of data validation with Pydantic. It great resource for anyone who wants to learn more about deep learning with Python.
Provides a comprehensive overview of natural language processing with Python, including coverage of data validation with Pydantic. It great resource for anyone who wants to learn more about natural language processing with Python.
Provides a comprehensive overview of computer vision with Python, including coverage of data validation with Pydantic. It great resource for anyone who wants to learn more about computer vision with Python.
Provides a comprehensive overview of data science with Python, including coverage of data validation with Pydantic. It great resource for anyone who wants to learn more about data science with Python.
Provides a comprehensive overview of Flask, a popular Python web framework. It covers a range of topics, including data validation with Pydantic. It great resource for anyone who wants to learn how to build web applications with Flask.
Provides a collection of recipes for data manipulation tasks in Python. It covers topics such as data cleaning, normalization, and validation.
Provides a practical guide to data validation techniques. It covers topics such as data cleaning, normalization, and validation.
Provides a comprehensive guide to data quality and data validation techniques. It covers topics such as data cleaning, normalization, and validation.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to Validate Data Classes with Pydantic.
Create a Collapsible Panel in PySide2 5
Most relevant
Arranging for Songwriters
Use C# to Process XML Data
Modern JavaScript The Complete Course - Build +15 Projects
Android Fundamentals: SharedPreferences
Regular Expressions for the Cloud Engineer Deep Dive
Validate Data Cleanliness Using Asserts in Python
Validating Data Input in Spring 5 Web Applications
Validating Data Input in Spring 6 Web Applications
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser