econometricML

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0.0.2 econometricML-0.0.2-py3-none-any.whl

Wheel Details

Project: econometricML
Version: 0.0.2
Filename: econometricML-0.0.2-py3-none-any.whl
Download: [link]
Size: 6901
MD5: 16a982deae7f000b0a53db7639daea34
SHA256: 9ca7f563bb2b1437e4d84bad608725f8b5b7b8c33ec08430b5cfe0ee1760e69a
Uploaded: 2024-03-04 01:38:19 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: econometricML
Version: 0.0.2
Summary: Technical notes & documentation for Causal ML Textbook
Author: Jacob Pieniazek
Author-Email: jakepzak[at]gmail.com
Home-Page: https://github.com/jakepenzak/econometricML
License: Apache Software License 2.0
Keywords: nbdev jupyter notebook python
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.7
Provides-Extra: dev
Description-Content-Type: text/markdown
License-File: LICENSE
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.41.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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econometricML/ch2.py sha256=Qtn-00rywBRlYtznVR2V6L9mBcJXzTOXtVZdFx9MI3U 144
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econometricML-0.0.2.dist-info/top_level.txt sha256=p_bjFkYguWVywh-o54HZssv9ZaFQ01eAQi-QIE3AGc8 14
econometricML-0.0.2.dist-info/RECORD

top_level.txt

econometricML

entry_points.txt

[nbdev]
econometricML = econometricML._modidx:d