Nimble - Python data science package
Nimble provides a unified framework for data science, data analysis, and machine learning in Python that can be used as a more elegant alternative to the standard stack (numpy, pandas, scikit-learn/sklearn, scipy, etc.). Nimble can also be used alongside these standard tools to make it faster and easier to make predictions and manipulate, analyze, process and visualize data.
Getting Started
You can check the Install page for detailed options or just started with this:
pip install nimble\[quickstart\]
Once Nimble is installed, you can load data in a script by calling
nimble.data
with a URL or local path.
import nimble
urlOrPath = "https://storage.googleapis.com/nimble/Metro_Interstate_Traffic_Volume.csv"
loaded = nimble.data(urlOrPath)
From there, you can explore the examples below or check out the the Cheatsheet and API Docs to see what's possible!
Examples
- Cleaning Data
- Supervised Learning
- Exploring Data
- Unsupervised Learning
- Neural Networks
- Merging And Tidying Data
- Additional Functionality
Resources
Contact
Feel free to get in touch with us at:
or through the Nimble Github page.
Release files for nimble 0.5.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| nimble-0.5.3.tar.gz | 7.6 MB | Without provenance | Details |
Built distributions (wheels)
Total release size: 370.6 MB
Release files / nimble-0.5.3.tar.gz
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|---|---|
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| Tags | Source |
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Release files / nimble-0.5.3-cp312-cp312-win_amd64.whl
| Download URL | nimble-0.5.3-cp312-cp312-win_amd64.whl |
|---|---|
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| Tags | CPython 3.12 Windows x86-64 |
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Release files / nimble-0.5.3-cp312-cp312-macosx_10_9_universal2.whl
| Download URL | nimble-0.5.3-cp312-cp312-macosx_10_9_universal2.whl |
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| Size | 18.7 MB |
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Release files / nimble-0.5.3-cp311-cp311-win_amd64.whl
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Release files / nimble-0.5.3-cp311-cp311-macosx_10_9_universal2.whl
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