Learning Pydantic: Advanced Data Validation In Python

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Andy Bek

11:16:21

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1 - Pydantic In A Nutshell

1 - Course Resource Part 1.html

1 - lecture-code.zip

2 - Introduction To Pydantic.mp4

07:50

3 - Our First Pydantic Model.mp4

09:59

4 - Coercion And Strict Types.mp4

07:30

5 - More Types And Constraints.mp4

08:43

2 - Type Hinting Foundations

6 - Date And Time Types.mp4

08:10

7 - Lists And Nested Lists.mp4

09:53

8 - Dictionaries And Typed KeyValues.mp4

12:53

9 - Sets And Tuples.mp4

07:57

10 - Unions.mp4

06:41

3 - Factories Enums And Other Props

11 - Optional Any And Defaults.mp4

06:26

12 - UUIDs And Default Factories.mp4

08:09

13 - Immutable Attributes.mp4

07:34

14 - Additional Properties.mp4

07:09

15 - Enumerations.mp4

05:16

16 - For Better Performance Literals.mp4

07:30

4 - Custom Validators

17 - Customizing Field Validators.mp4

10:59

18 - ModelLevel Validators.mp4

11:54

19 - Extra A Closer Look At Error Objects.mp4

10:45

5 - Model Serialization And Deserialization

20 - Instance Serialization To Dict And JSON.mp4

05:23

21 - Field Exclusions.mp4

07:48

22 - JSON Schema.mp4

12:33

23 - Deserialization.mp4

06:23

6 - Capstone Project Building A Modern Python API With Pydantic FastAPI And Redis

24 - Course Resource Part 2.html

24 - the-polls-api-main.zip

25 - Overview.mp4

04:00

26 - Creating A Virtual Environment.mp4

05:54

27 - Our First Dependencies.mp4

03:23

28 - Application Directory Structure.mp4

05:00

29 - API Hello World.mp4

05:27

30 - Defining Our First Poll Model.mp4

06:40

31 - Polls Create With Placeholders.mp4

04:10

32 - Polls In The Request Body.mp4

07:15

33 - Defining The Choice Data Model.mp4

03:05

34 - Splitting Into Read And Write Models.mp4

05:23

35 - Poll vs PollCreate.mp4

08:06

36 - Polls Should Have Between 2 and 5 Choices.mp4

03:19

37 - pollcreate With Incrementing Choice Labels.mp4

12:29

38 - Creating Polls Through The API.mp4

06:23

39 - Refactoring To HTTPExceptions.mp4

06:37

40 - Conceptual Introduction To Redis Our KeyValue Store.mp4

04:52

41 - Setting Up A Redis Instance.mp4

04:31

42 - Connecting Saving And Retrieving Data From Redis.mp4

08:46

43 - Refactoring Connection Parameters To Environment Variables.mp4

07:04

44 - Defining utilspy.mp4

04:10

45 - Integrating savepoll With POST pollscreate.mp4

02:28

46 - Defining And Integrating GET Poll.mp4

07:06

47 - Modular Reorganization With API Routers.mp4

08:54

48 - Application Metadata.mp4

03:10

49 - Faster Iteration With Visual HTTP Clients.mp4

11:29

50 - Voting Pydantic Data Models.mp4

09:05

51 - The Votes API Router.mp4

09:11

52 - Get Choice ID From Label.mp4

04:41

53 - Creating And Returning Vote Instances.mp4

10:13

54 - Storing And Retrieving Votes In Redis Hashsets.mp4

09:08

55 - Integrating Vote Saving With The Routes.mp4

02:15

56 - Double Voting Should Not Be Allowed.mp4

04:16

57 - Voting On Expired Polls Should Not Be Allowed.mp4

08:30

58 - Other Voting Validations.mp4

04:23

59 - Optimizing Get getchoiceidbylabel.mp4

04:30

60 - Dependency Injecting Common Validations.mp4

09:24

61 - Get All Polls.mp4

08:07

62 - Batching Requests With mget.mp4

04:01

63 - Parameterizing Get Polls For Poll Status.mp4

08:03

64 - Tracking Vote Counts With Hash Increment By.mp4

04:35

65 - Displaying Vote Tallies.mp4

07:26

66 - Defining The Poll Results Pydantic Data Models.mp4

03:53

67 - Returning PollResults.mp4

08:47

68 - Deleting Poll Data.mp4

10:43

69 - Extra Custom Exception Handlers.mp4

08:00

70 - Deployment Checklist.mp4

05:38

71 - Requirementstxt And Build Configuration.mp4

05:52

72 - Git Repository And gitignore.mp4

08:21

73 - Pushing To GitHub.mp4

01:47

74 - Deployment.mp4

05:33

7 - Appendix A Python Programming Crash Course

75 - Python-Programming-Crash-Course.zip

75 - Section Resources.html

76 - Data Types.mp4

02:35

77 - Variables.mp4

08:27

78 - Arithmetic And Augmented Assignment Operators.mp4

07:16

79 - Ints And Floats.mp4

08:54

80 - Booleans And Comparison Operators.mp4

05:12

81 - Strings.mp4

07:52

82 - Methods.mp4

06:29

83 - Containers I Lists.mp4

06:08

84 - Lists vs Strings.mp4

06:53

85 - List Methods And Functions.mp4

07:54

86 - Containers II Tuples.mp4

04:43

87 - Containers III Sets.mp4

10:32

88 - Containers IV Dictionaries.mp4

05:15

89 - Dictionary Keys And Values.mp4

08:14

90 - Membership Operators.mp4

04:28

91 - Controlling Flow if else And elif.mp4

08:21

92 - Truth Value Of Nonbooleans.mp4

03:28

93 - For Loops.mp4

05:06

94 - The range Immutable Sequence.mp4

05:10

95 - While Loops.mp4

05:56

96 - Break And Continue.mp4

04:15

97 - Zipping Iterables.mp4

03:39

98 - List Comprehensions.mp4

07:47

99 - Defining Functions.mp4

10:19

100 - Function Arguments Positional vs Keyword.mp4

06:54

101 - Lambdas.mp4

05:28

102 - Importing Modules.mp4

05:38

Description

The Complete Guide To Pydantic Including A Full Capstone Project with FastAPI And Redis

What You'll Learn?

Gain an in-depth understanding of what Pydantic is and how it is used
Practice defining Pydantic data models using modern type hints, custom validations, and fine-tuned configuration
Learn how to define complex, interdependent, and nested data models with Pydantic
Serialize model instances into JSON and deserialize incoming data
Practice using Pydantic in the context of building and deploying a real-world python web API
Master relevant concepts in modern python application development, like dependency management and version control

Who is this for?

Anyone interested in learning about Pydantic

What You Need to Know?

Some basic experience with python would help but is NOT required

A full-length introduction to Python is included as an optional Appendix

A general willingness to learn is the only prerequisite as all relevant concepts will be explained as and when used

More details

Description
Welcome to the best resource online for learning modern Pydantic, a data validation library that has taken the python community by storm.
Pydantic is was first released in 2018 and has since become one of the most popular python libraries. It is nowadays downloaded more than 130 million times a month, and is used by some of the largest organizations out there, from the tech giants like Google, Amazon, Apple, Meta, and Netflix, to large conglomerates in various other industries, such as Starbucks, JPMorgan Chase. Oh, and yes, even NASA.
There's a good reason for this. Pydantic is a powerful library that elegantly solves a very common problem in software development: data validation.
Pydantic's speed, simple declarative syntax, and extensibility make it an indispensable utility in modern python development.
And in this course, you will learn everything you need to know to get started with Pydantic, from the very basics of defining data models, to more advanced topics such as fields with factory defaults, creating custom model-validators, data serialization, and much more.
The first part of the course will be purely about pydantic, where we explore it in isolation. You will learn:

how to define data models with pydantic
how to compose more complex models from simpler ones via inheritance
the foundations of type hinting in python, including enumerations, literals, and other advanced types-
how to use pydantic's powerful validation system
how to serialize and deserialize data
how to extract models to schemas
how to validate data against pydantic models

Then in the second part of the course we will turn our attention to the Capstone Project, where we will use pydantic to develop and deploy a python web API that allows users to create and vote on polls. This app will use Redis as our durable key-value data store, and will be deployed to production as a serverless function.
The Capstone will be developed step by step, in a series of about 30 skill challenges, where you will be asked to incrementally implement small features. This will give you the opportunity to practice what you've learned in the first part of the course, and to:

get a practical feel for how Pydantic is used in real-world applications
learn about modern API development with python
understand what Redis is and how it can be used as a durable data store
learn about virtual environments and dependency management in python
practice using git and github
learn the basics of serverless computing by deploying the API as a serverless function
The course will use the latest version of Pydantic, which leverages the power of Rust to achieve blazing fast performance.
Also, if you're new to python or haven't used the used the language in a while, there's a full-featured python crash course included as an extra appendix which will get you up to speed in no time.
I'm very excited to share this with you, and I look forward to seeing you in the course!
Who this course is for:
Anyone interested in learning about Pydantic

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Andy Bek

Instructor's Courses

Hi! I'm Andy. I'm freelance software developer and capital markets consultant. I've spent close to a decade working with data, using code to automate business workflows, and consulting financial institutions on data-intensive applications.Aside from teaching, I run a AI and data consulting firm that targets fintechs in the post-trade services niche.

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