Fundamentals of Data Science
Companion Python package for Fundamentals of Data Science.
Free software: MIT license
Documentation: https://fundamentals-of-data-science.readthedocs.io.
Features
TODO
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
History
0.2.9 (2020-12-10)
Updating repo with docstring generation
0.1.0 (2019-04-30)
First release on PyPI.
1 maintainer
Metadata
1 maintainer
Release files for fundamentals-of-data-science 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fundamentals_of_data_science-0.2.0.tar.gz | 800.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fundamentals_of_data_science-0.2.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 1.6 MB
Release files / fundamentals_of_data_science-0.2.0.tar.gz
| Download URL | fundamentals_of_data_science-0.2.0.tar.gz |
|---|---|
| Size | 800.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.6.7
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Release files / fundamentals_of_data_science-0.2.0-py2.py3-none-any.whl
| Download URL | fundamentals_of_data_science-0.2.0-py2.py3-none-any.whl |
|---|---|
| Size | 820.1 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.6.7
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