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TDDA Book Chapter 7 on Data Validation Released, tdda Library v3.2 Adds Polars Support

By PulseAugur Editorial · [1 sources] ·

The TDDA Book's Chapter 7, focusing on practical constraints in data validation, is now available online. This chapter concludes the data validation section, discussing non-tabular data, spreadsheets, measurement regularization, and alternative libraries like Pandera and Great Expectations. The latest version of the tdda library, v3.2, now offers full support for Polars dataframes, enhancing data validation capabilities for both in-memory data and files like Parquet and CSV, with improved CI tests for Windows. AI

IMPACT Enhances data validation tools for data science and ML workflows, particularly with Polars integration.

RANK_REASON Release of a book chapter and a software library update. [lever_c_demoted from research: ic=1 ai=0.7]

Read on Mastodon — sigmoid.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

TDDA Book Chapter 7 on Data Validation Released, tdda Library v3.2 Adds Polars Support

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COVERAGE [1]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    Chapter 7, of the TDDA Book—Practical Constraints—is now available online: https:// book.tdda.info/book/7 This completes the material on data validation, coveri

    Chapter 7, of the TDDA Book—Practical Constraints—is now available online: https:// book.tdda.info/book/7 This completes the material on data validation, covering things like non-tabular data, spreadsheets, regularising measurements and the alternative libraries Pandera and Great…

    LINKS book.tdda.info/…/7 github.com/…/tdda

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