ammonite-spark
JustEnoughScalaForSpark
| ammonite-spark | JustEnoughScalaForSpark | |
|---|---|---|
| 1 | 2 | |
| 115 | 673 | |
| - | - | |
| 6.9 | 0.0 | |
| 17 days ago | almost 2 years ago | |
| Scala | Jupyter Notebook | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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ammonite-spark
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Learning Spark Scala: I'm a medium Python Data Engineer with some experience in Java. I have to learn "enough" Scala to be at ease with Spark's Scala API. I have three weeks. Where should I start ?
https://github.com/alexarchambault/ammonite-spark made the experience more pleasant for me.
JustEnoughScalaForSpark
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Which tutorial to learn functional programming without going in depth ?
- https://github.com/deanwampler/JustEnoughScalaForSpark
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Learning Spark Scala: I'm a medium Python Data Engineer with some experience in Java. I have to learn "enough" Scala to be at ease with Spark's Scala API. I have three weeks. Where should I start ?
There's literally something called, "Just enough Scala for Spark." https://github.com/deanwampler/JustEnoughScalaForSpark
What are some alternatives?
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
get-started-with-JAX - The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
Quill - Compile-time Language Integrated Queries for Scala
beakerx - Beaker Extensions for Jupyter Notebook
kukulcan - A REPL for Apache Kafka
reinforcement_learning_course_materials - Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
intro-to-python - [READ-ONLY MIRROR] An intro to Python & programming for wanna-be data scientists
ipp - An intro to Python & programming for wanna-be data scientists [Moved to: https://github.com/webartifex/intro-to-python]
BigDL - Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max). A PyTorch LLM library that seamlessly integrates with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, etc.