SuperData
A small python package to import common Data science packages to the namespace.
That is, no need to import numpy as np in your code.
For example:
1 from superdata import *
2 a=np.array([1,2,3])
3 plt.plot(a)
For now, only covers:
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import matplotlib as mpl
installation
Easy installation using pip: https://pypi.org/project/superdata/0.1/
1 maintainer
Metadata
1 maintainer
Release files for superdata 0.1.1
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 | |
|---|---|---|---|---|
| superdata-0.1.1.tar.gz | 1.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| superdata-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.1 kB
Release files / superdata-0.1.1.tar.gz
| Download URL | superdata-0.1.1.tar.gz |
|---|---|
| Size | 1.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0.post20200814 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5
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Release files / superdata-0.1.1-py3-none-any.whl
| Download URL | superdata-0.1.1-py3-none-any.whl |
|---|---|
| Size | 2.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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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/49.6.0.post20200814 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5
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Security for superdata 0.1.1
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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