angora is my personal data science python development library collection.
Quick links:
Install
angora is released on PyPI, so all you need is:
$ pip install angoraTo upgrade to latest version:
$ pip install --upgrade angoraangora doesn’t force user to install all pre-requisite third party packages. You can install it when you see the error message and when you need it.
1 maintainer
Metadata
1 maintainer
Release files for angora 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| angora-0.0.2.zip | 126.4 kB | Details |
Release files / angora-0.0.2.zip
| Download URL | angora-0.0.2.zip |
|---|---|
| Size | 126.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0f7fd52712eb413daaba9338f42623eb5cd4d26d34ed206a392f7b20da4f8f84
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BLAKE2b-256 checksum How to use checksums |
2fabc22d0780379a75a2a1d754294d648c620c963c0ff3a0434d286da29e3a49
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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