alphapy is a Python library for machine learning using scikit-learn. We have a stock market pipeline and a sports pipeline so that speculators can test predictive models, along with functions for trading systems and portfolio management.
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Release files for alphapy 2.5.0
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 | |
|---|---|---|---|---|
| alphapy-2.5.0.tar.gz | 84.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| alphapy-2.5.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 196.6 kB
Release files / alphapy-2.5.0.tar.gz
| Download URL | alphapy-2.5.0.tar.gz |
|---|---|
| Size | 84.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
5578b4cdf0a7a7deb9184f1f99a2eafb55781f7d623603483599e58e547d27f8
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.3
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Release files / alphapy-2.5.0-py3-none-any.whl
| Download URL | alphapy-2.5.0-py3-none-any.whl |
|---|---|
| Size | 112.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
2735c05d3bb544be74a2554abf4b26dbe5eae4ef76fe5a5ccb9b993661556a05
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BLAKE2b-256 checksum How to use checksums |
41ae7435cb963fe7cf61784efbbf4aa793f403cf40892baf5a5560ea851abcf6
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.3
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Security for alphapy 2.5.0
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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