beakerx
JustEnoughScalaForSpark
| beakerx | JustEnoughScalaForSpark | |
|---|---|---|
| 2 | 2 | |
| 2,776 | 673 | |
| 0.2% | - | |
| 0.0 | 0.0 | |
| 5 months ago | almost 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | Apache License 2.0 |
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beakerx
- Jupyterlab Desktop
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Python, OCaml, and Machine Learning (2020)
Yes it surprised me there was so much discussion of jupyter notebooks as if they only support Python but there is great support for all kinds of languages including very statically typed ones (Scala, etc).
I do lots of ML in Groovy using beakerx [0] which is pretty much the last thing anybody would expect but it works great.
[0] https://github.com/twosigma/beakerx
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?
ijava-binder - An IJava binder base for trying the Java Jupyter kernel on https://mybinder.org/
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.
IPAddress - Java library for handling IP addresses and subnets, both IPv4 and IPv6
reinforcement_learning_course_materials - Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
intellij-rainbow-brackets - 🌈Rainbow Brackets for IntelliJ based IDEs/Android Studio/HUAWEI DevEco Studio/Fleet
intro-to-python - [READ-ONLY MIRROR] An intro to Python & programming for wanna-be data scientists
spotless - Keep your code spotless
ipp - An intro to Python & programming for wanna-be data scientists [Moved to: https://github.com/webartifex/intro-to-python]
megalinter - 🦙 Mega-Linter analyzes 49 languages, 22 formats, 21 tooling formats, excessive copy-pastes, spelling mistakes and security issues in your repository sources with a GitHub Action, other CI tools or locally. [Moved to: https://github.com/oxsecurity/megalinter]
ammonite-spark - Run spark calculations from Ammonite
megalinter - 🦙 MegaLinter analyzes 50 languages, 22 formats, 21 tooling formats, excessive copy-pastes, spelling mistakes and security issues in your repository sources with a GitHub Action, other CI tools or locally.
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.