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DeepDiff 5.6 introduces custom operators.

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DeepDiff 5 Is Here!

DeepDiff 5 Is Here!

Delta, Deep Distance, Numpy Support, granular results when ignoring the order and many optimizations are introduced! The Delta objects are like git commits but for structured data. Deep Distance is the distance between 2 objects. It is inspired by Levenshtein Distance

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DeepDiff Tutorial: Comparing Numbers

One of the features of DeepDiff that comes very handy is comparing nested data structures that include numbers. There are times that we do care about the exact numbers and want it to be reported if anything slightly changed. We explore different parameters that help when diffing numbers.

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You AutoComplete Me

You AutoComplete Me

Autocomplete in Python. Get familiar with various data structures in Python, from the built-in deque to creating Trie-tree and Directed Acyclic Word Graph (DAWG) and even fuzzy matching via phonetic algorithms and Levenshtein edit distance.

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