Sign in to confirm you’re not a bot
This helps protect our community. Learn more
Streamlining Data Preparation with Pydantic: A 25-Minute Guide | Python Data Science Day
12Likes
355Views
2024Mar 28
Embark on a 25-minute journey exploring the power of Pydantic in cleaning and preparing data for seamless integration into your Python projects. We'll delve into the versatile capabilities of Pydantic for data validation, type hinting, and structured data cleaning. From ensuring data consistency to handling missing values, Pydantic proves to be an invaluable tool in the data scientist's toolkit. Chapters: 00:00 Streamlining Data Preparation with Pydantic 00:34 Pydantic overview 02:21 Why use Pydantic 05:15 Pydantic by the numbers 06:24 Core Concepts of Pydantic 10:50 Demo - GitHub Data Crawling ETL (Extract, Transfer, Load) 12:08 Fetching Data with GitHub API 12:56 Repository & Gist Pydantic Model 17:16 Follower & User Pydantic Model 20:26 Object initialization, serializing, dumping 23:39 Load into SQLite 25:38 Learn more and connect Resources: Github: https//github.com/hasanozdem1r Survey https://aka.ms/Python/DataScienceDay/... Python at Microsoft https://aka.ms/python Cloud Skills Challenge - through April 15, 2024 https://aka.ms/Python/DataScienceDay/CSC GitHub codespaces https://github.com/codespaces VS Code Release notes https://code.visualstudio.com/updates Featuring: Hasan Özdemir, Data Analyst, Getir (  / hasanozdem1r  )

Follow along using the transcript.

Visual Studio Code

751K subscribers