Faquilizer
A simple, pip install-able package that provides a Jupyter Notebook template for processing lists of URLs with AI.
Usage
- In a new notebook (like Google Colab):
!pip install faquilizer
- In the next cell, run:
import faquilizer
- Copy the template output and paste it into a new cell to get started.
Metadata
Release files for faquilizer 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| faquilizer-0.1.2.tar.gz | 3.9 kB | Without provenance | Details for faquilizer-0.1.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| faquilizer-0.1.2-py3-none-any.whl | Python 3 | none | any | Details for faquilizer-0.1.2-py3-none-any.whl |
Total release size: 8.1 kB
Release files / faquilizer-0.1.2.tar.gz
| Download URL | faquilizer-0.1.2.tar.gz |
|---|---|
| Size | 3.9 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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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.11
|
Release files / faquilizer-0.1.2-py3-none-any.whl
| Download URL | faquilizer-0.1.2-py3-none-any.whl |
|---|---|
| Size | 4.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.11
|
Security for faquilizer 0.1.2
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None of the files in this release were uploaded with provenance metadata.
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