Here Is What You Should Use for Data Validation

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In this short, I explain why data validation is so important and which tool can help you do it quickly and easily.

#arjancodes #softwaredesign #python
  1. ArjanCodes
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  3. pydantic data validation
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Комментарии
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Check out my channel links for a free code diagnosis workshop or my free design guide! 🔥

ArjanCodes
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I got into pydantic because of fastapi, havent looked back since. I even use it in Data Engineering projects. :D

kbaafi
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Your data has error correction, and the best way to validate your data is to use a hash function to validate your error correction data.

This scales with your data encryption and the data validation method as hashed data can be set to whatever your maximum dataset’s validation size is with headroom to hash the metadata to ensure that your matching dataset for validation can be verified. Keep your dataset hashes on a separate pathway and use backups.

For anyone who is rolling their own datasets rather than using a package or framework.

Stopinvadingmyhardware
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I remember this from the live stream. Very helpful answer!

timmarkhuff
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just used pydantic for the first time and i am not going back

amitozsidhu
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I use msgspec for data validation. It is blazing fast an easy to use via usual python type annotations

veritas-odium-parit