intro-to-python
JustEnoughScalaForSpark
| intro-to-python | JustEnoughScalaForSpark | |
|---|---|---|
| 1 | 2 | |
| 871 | 673 | |
| - | - | |
| 0.0 | 0.0 | |
| over 3 years ago | almost 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
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intro-to-python
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Show HN: Intro to Python and Programming for non-CS majors (revisited)
Hi there,
I am the author of this Show HN post: https://news.ycombinator.com/item?id=22669084
Back then, I released the materials for my Intro to Python course "to the world". GitHub repo: https://github.com/webartifex/intro-to-python
I incorporated many of the constructive criticism and am currently recording a video lecture series on YouTube: https://www.youtube.com/playlist?list=PL-2JV1G3J10kRUPgP7EwLhyeN5lOZW2kH
I guess that a lot of people without a CS background would find these resources valuable and am open for further feedback.
If you have any "non-tech" friends who want to learn to code, please feel free to direct them to my course.
Stay healthy everybody!
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?
imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
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.
ipp - An intro to Python & programming for wanna-be data scientists [Moved to: https://github.com/webartifex/intro-to-python]
beakerx - Beaker Extensions for Jupyter Notebook
python-training - Python training for business analysts and traders
reinforcement_learning_course_materials - Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
z3_tutorial - Jupyter notebooks for tutorial on the Z3 SMT solver
feature-engineering-tutorials - Data Science Feature Engineering and Selection Tutorials
ammonite-spark - Run spark calculations from Ammonite
examples - Datapane Examples
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.