Learning Pydantic: Advanced Data Validation In Python

Explore pedantic data types in Python, including date, time, and datetime from the typing module, to validate data in pydantic models.

Explore dictionaries and typed key-value structures in pedantic, annotate with dict vs typing dict, validate multi-level data, and implement nested models like product catalogs and order books.

Explore sets and tuples in python with pedantic typing, learning duplicate removal, type enforcement, and how fixed or variable length tuples model 3d coordinates and lists.

Build and inspect json schemas from Pydantic models to document, code generate, and create user interfaces, using the model json schema method and the json schema standard.

Convert serialized json data into model instances with the model validate json method, turning it into Python objects. Handle validation errors to distinguish valid users from invalid ones.

Cover building and deploying a fast API web app from scratch using pydantic models for polls and voters, with input validation, vote by label, results tracking, and Vercel serverless deployment.

Learn to implement a create poll instance method in pydantic that converts option strings into choice instances with incrementing labels, validates future expiration dates, and returns a new poll instance.

refactor validation errors into http exceptions with FastAPI to return json responses and status codes. enforce poll rules, 2–5 choices and future expiration, with 400 messages and 200 success.

Explore Redis as an in-memory key-value store for database, cache, and message broker. Learn open-source roots, data structures such as strings and streams, and a cloud-hosted durable Redis instance.

Define a votes router with post routes for vote by id and vote by label, reading poll id from path, using pydantic models, and integrate under /votes for swagger visibility.

Define a utility that converts a poll label into its corresponding choice uuid by fetching the poll and matching the label to a choice id.

Batch Redis calls with mget to fetch all poll jsons in one request, reduce RTT, and deserialize with a list comprehension using poll.model_validate_json.

Explore how to define a .gitignore to exclude environment variables, virtual environments, macOS system files, and Python bytecode, then initialize a local git repo and stage code for version control.

Create a private remote GitHub repository and push your existing local project from the command line, ensuring gitignore, main.py, and requirements.txt go to the remote before Vercel deployment.

Deploy the app to Vercel, configure environment variables from the dot env using load_dot_env, import the git repository, and verify the swagger docs at the polls API URL.

Explore basic and augmented arithmetic operators in Python, including +, -, *, /, +=, and **, plus modulo for even/odd checks and the rule of operator precedence.

Learn how for loops in Python iterate over iterables to execute a block of code for each item, print greetings, and understand iteration variables in lists and strings.

Learn the range in Python as an immutable sequence of integers with start, stop, and step. Use it in for loops; stop is exclusive, and range(n) defaults to start=0 and step=1.

Zip multiple Python iterables to create paired tuples from names and scores, see how to unpack these tuples for per-person output, and extend with attendance data.

Learn to define reusable Python functions to compute averages and apply them to lists, then enrich student records with average and past keys via a loop.