- Machine Learning With Go
- Daniel Whitenack
- 59字
- 2021-07-08 10:37:30
References
CSV data:
- encoding/csv docs: https://golang.org/pkg/encoding/csv/
- github.com/kniren/gota/dataframe docs: https://godoc.org/github.com/kniren/gota/dataframe
JSON data:
- encoding/json docs: https://golang.org/pkg/encoding/json/
- Bill Kennedy's blog post of JSON decoding: https://www.goinggo.net/2014/01/decode-json-documents-in-go.html
- Ben Johnson's blog post Go Walkthrough: encoding/json package: https://medium.com/go-walkthrough/go-walkthrough-encoding-json-package-9681d1d37a8f
Caching:
- github.com/patrickmn/go-cache docs: https://godoc.org/github.com/patrickmn/go-cache
- github.com/boltdb/bolt docs: https://godoc.org/github.com/boltdb/bolt
- Information about and motivation for BoltDB: https://npf.io/2014/07/intro-to-boltdb-painless-performant-persistence/
Pachyderm:
- General documentation: http://docs.pachyderm.io
- Go client docs: https://godoc.org/github.com/pachyderm/pachyderm/src/client
- Public users Slack team registration: http://docs.pachyderm.io
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