quinn
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quinn
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Invitation to collaborate on open source PySpark projects
quinn is a library with PySpark helper functions. I need to work through all the open issues / PRs and bump all versions. I should do another release. This library gets around 600,000 monthly downloads.
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Pyspark now provides a native Pandas API
Pandas syntax is far inferior to regular PySpark in my opinion. Goes to show how much data analysts value a syntax that they're already familiar with. Pandas syntax makes it harder to reason about queries, abstract DataFrame transformations, etc. I've authored some popular PySpark libraries like quinn and chispa and am not excited to add Pandas syntax support, haha.
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Is Spark - The Defenitive Guide outdated?
They spent a lot of effort improving the catalyst engine under the hood too and making it easier to extend and improve it in the future. Making it easy to add your own native code to Spark itself. Shameless plug of a blog post I wrote on this subject which basically reiterates what Matthew Powers, author of Spark Daria and quinn, wrote here.
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Ask HN: What are some tools / libraries you built yourself?
I built daria (https://github.com/MrPowers/spark-daria) to make it easier to write Spark and spark-fast-tests (https://github.com/MrPowers/spark-fast-tests) to provide a good testing workflow.
quinn (https://github.com/MrPowers/quinn) and chispa (https://github.com/MrPowers/chispa) are the PySpark equivalents.
Built bebe (https://github.com/MrPowers/bebe) to expose the Spark Catalyst expressions that aren't exposed to the Scala / Python APIs.
Also build spark-sbt.g8 to create a Spark project with a single command: https://github.com/MrPowers/spark-sbt.g8
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Open source contributions for a Data Engineer?
I've built popular PySpark (quinn, chispa) and Scala Spark (spark-daria, spark-fast-tests) libraries.
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Ask HN: What are some tools / libraries you built yourself?
I build a logging library for Go, because I couldn't find one that logs to stdout AND stderr. If you used a logging lib on GCP for example, all log output went into the same pile of junk and it was hard to find "real" errors: https://github.com/emvi/logbuch
Then there is "null", also because I couldn't find one that got both, marshalling to JSON and be able to store null values in db: https://github.com/emvi/null
And finally, our "flagship" open-source project Pirsch, an embedded library for web analytics: https://github.com/pirsch-analytics/pirsch
What are some alternatives?
go-edlib - 📚 String comparison and edit distance algorithms library, featuring : Levenshtein, LCS, Hamming, Damerau levenshtein (OSA and Adjacent transpositions algorithms), Jaro-Winkler, Cosine, etc...
gocache - ☔️ A complete Go cache library that brings you multiple ways of managing your caches
algorithms - CLRS study. Codes are written with golang.
nan - Zero allocation Nullable structures in one library with handy conversion functions, marshallers and unmarshallers
spark-daria - Essential Spark extensions and helper methods ✨😲
bitmap - Simple dense bitmap index in Go with binary operators
gota - Gota: DataFrames and data wrangling in Go (Golang)
chispa - PySpark test helper methods with beautiful error messages
spark-rapids - Spark RAPIDS plugin - accelerate Apache Spark with GPUs
conjungo - A small flexible merge library in go
golang-set - A simple generic set type for the Go language. Trusted by Docker, 1Password, Ethereum and Hashicorp.
fsm - Finite State Machine for Go