Squants
Apache Spark
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Squants | Apache Spark | |
---|---|---|
8 | 101 | |
910 | 38,320 | |
0.1% | 1.1% | |
2.9 | 10.0 | |
5 days ago | 6 days ago | |
Scala | Scala | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Squants
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Improving our safety with a physical quantities and units library
Scala's squants library is a nice implementation of units-of-measure/dimensional-analysis http://www.squants.com
In particular it uses types for dimensions; whilst units are just constructors. Hence `Meters(2)` and `Microns(7)` have the same type (`Length`).
- Show HN: Numbat – A programming language with physical dimensions as types
- The type system is a programmer's best friend
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Is Scala a good choice for a data intensive web backend?
squants for the “Market” package to use in financial calculations.
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Please put units in names
take a peek at https://www.squants.com looks like not in your language, but maybe you can apply some same concepts
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Atlas, a (hopefully) better engineering IDE
You might find the Squants library for Scala interesting; it even seems like an apt usage of some oft-questioned language features.
https://github.com/typelevel/squants
- Ratio Templates?
Apache Spark
- "xAI will open source Grok"
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Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉.
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🦿🛴Smarcity garbage reporting automation w/ ollama
Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system
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Go concurrency simplified. Part 4: Post office as a data pipeline
also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc.
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Five Apache projects you probably didn't know about
Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features.
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Apache Spark VS quix-streams - a user suggested alternative
2 projects | 7 Dec 2023
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Integrate Pyspark Structured Streaming with confluent-kafka
Apache Spark - https://spark.apache.org/
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Spark – A micro framework for creating web applications in Kotlin and Java
A JVM based framework named "Spark", when https://spark.apache.org exists?
- Rest in Peas: The Unrecognized Death of Speech Recognition (2010)
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PySpark SparkSession Builder with Kubernetes Master
I recently saw a pull request that was merged to the Apache/Spark repository that apparently adds initial Python bindings for PySpark on K8s. I posted a comment to the PR asking a question about how to use spark-on-k8s in a Python Jupyter notebook, and was told to ask my question here.
What are some alternatives?
Breeze - Breeze is a numerical processing library for Scala.
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Axle - Axle Domain Specific Language for Scientific Cloud Computing and Visualization
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
PredictionIO - PredictionIO, a machine learning server for developers and ML engineers.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Spire - Powerful new number types and numeric abstractions for Scala.
Scalding - A Scala API for Cascading
rscala - The Scala interpreter is embedded in R and callbacks to R from the embedded interpreter are supported. Conversely, the R interpreter is embedded in Scala.
mrjob - Run MapReduce jobs on Hadoop or Amazon Web Services
Compute.scala - Scientific computing with N-dimensional arrays
luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.