intro-to-python
ML-Workspace
| intro-to-python | ML-Workspace | |
|---|---|---|
| 1 | 7 | |
| 871 | 3,324 | |
| - | 0.4% | |
| 0.0 | 2.7 | |
| over 3 years ago | 6 months 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!
ML-Workspace
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[D] I recently quit my job to start a ML company. Would really appreciate feedback on what we're working on.
Also check out: https://github.com/ml-tooling/ml-workspace, it a nice open source project with lots of packages ready to use.
- ML-Workspace
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Coding for machine learning on Tab S8?
The other option - no reason why you couldn't host something on the desktop machine - web based IDE like R-Studio or Python - have a look at ml-workspace - https://github.com/ml-tooling/ml-workspace that runs in Docker and would provide interfaces for both Python and R, VSCode as well as a GPU accelerated variant for doing Tensorflow etc - either Windows or Linux can support Docker containers (Linux is less trouble apparently - I only have played with it in Linux personally)
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Dynamically spin up VM (based on specific HTTPS request) and stop it once session is over?
It will be a web based IDE dev kit (like Jupyter Hub, or JupyterLab) if you are familiar with them)
- All-in-One Docker Based IDE for Data Science and ML
- Visual Studio Code now available as Web based editor for GitHub repos
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[P] Install or update CUDA, NVIDIA Drivers, Pytorch, Tensorflow, and CuDNN with a single command: Lambda Stack
I'll stick with https://github.com/ml-tooling/ml-workspace, is a docker with all tools installed, also the option of using GPU, so I think is better than only for debian. This way anyone can use it.
What are some alternatives?
imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
JupyterLab - JupyterLab computational environment.
ipp - An intro to Python & programming for wanna-be data scientists [Moved to: https://github.com/webartifex/intro-to-python]
Gitpod - DEPRECATED since Gitpod 0.5.0; use https://github.com/gitpod-io/gitpod/tree/master/chart and https://github.com/gitpod-io/gitpod/tree/master/install/helm
python-training - Python training for business analysts and traders
keytotext - Keywords to Sentences
z3_tutorial - Jupyter notebooks for tutorial on the Z3 SMT solver
self-hosted - Sentry, feature-complete and packaged up for low-volume deployments and proofs-of-concept
feature-engineering-tutorials - Data Science Feature Engineering and Selection Tutorials
Code-Server - VS Code in the browser
JustEnoughScalaForSpark - A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.
cocalc-docker - DEPRECATED (was -- Docker setup for running CoCalc as downloadable software on your own computer)