go-adaptive-radix-tree
gota
go-adaptive-radix-tree | gota | |
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- | 4 | |
375 | 3,071 | |
- | 2.3% | |
6.3 | 0.0 | |
about 3 hours ago | over 1 year ago | |
Go | Go | |
MIT License | GNU General Public License v3.0 or later |
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go-adaptive-radix-tree
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Tracking mentions began in Dec 2020.
gota
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Looking for some help on querying slice of map[string]any using group by fields and aggregate functions
Is the Gota project still maintained?
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What libraries are missing?
Could give this a try https://github.com/go-gota/gota
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Is Go a good language for a beginner in machine learning?
I did find a dataframe library for Go: gota. But compared to Pandas, it's API was just plain ugly, imo. Ofcourse it's further complicated by the fact that this doesn't use generics yet, so further uglified by interface{} littered everywhere.
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Useful Go data engineering libraries
Maybe look at https://github.com/go-gota/gota for a start.
What are some alternatives?
golang-set - A simple, battle-tested and generic set type for the Go language. Trusted by Docker, 1Password, Ethereum and Hashicorp.
bloom - Bloom filters implemented in Go.
gods - GoDS (Go Data Structures) - Sets, Lists, Stacks, Maps, Trees, Queues, and much more
bitmap - Simple dense bitmap index in Go with binary operators
go-datastructures - A collection of useful, performant, and threadsafe Go datastructures.
bitset - Go package implementing bitsets
gocache - ☔️ A complete Go cache library that brings you multiple ways of managing your caches
levenshtein - Go implementation to calculate Levenshtein Distance.
algorithms - CLRS study. Codes are written with golang.
merkletree - A Merkle Tree implementation written in Go.
trie - Data structure and relevant algorithms for extremely fast prefix/fuzzy string searching.