Data extraction and rendering library for Shakespearean text.
Project description
iambic: Data extraction and rendering library for Shakespearean text. :scroll:
Let computers do the hard work for you! iambic provides:
- The most accurate method for counting lines automatically.
- Automatically track which characters are speaking in any scene.
- Deterministic, repeatable results, with the ability to store your data as JSON with strictly defined schema for passing over the wire or storing locally or in a NoSQL database between runtimes.
Installation
In order to install the latest version, simply pip3 install -U iambic.
This library requires Python 3.7 or greater.
What is it?
iambic was originally envisioned as a tool for translating
Shakespearean text into actionable information, i.e.:
- How many lines are in this particular play?
- How many lines does a given character speak in this play?
- Which characters speak, in which scenes and acts?
As a result of the implementation, this tool can be applied to any body of text which adhere's to its parsing syntax.
The Schema
The full schema specification has been written in JSON Schema 7.0 and can be found here
Documentation
The full documentation is available at iambic.seandstewart.io
How to Contribute
- Check for open issues or open a fresh issue to start a discussion around a feature idea or a bug.
- Create a branch on Github for your issue or fork the repository on GitHub to start making your changes to the master branch.
- Write a test which shows that the bug was fixed or that the feature works as expected.
- Send a pull request and bug the maintainer until it gets merged and published. :)
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file iambic-2.3.2.tar.gz.
File metadata
- Download URL: iambic-2.3.2.tar.gz
- Upload date:
- Size: 2.0 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.0.10 CPython/3.7.8 Linux/5.3.0-1034-azure
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 456dedf9f8dd886559591dc425766812e1991a71199dfcd1fb427c9684d63f60 |
|
| MD5 | 22e1fcf642c7a642d7f2d45fdd36b6fa |
|
| BLAKE2b-256 | 9fce74dfc2077dd39ca2811b24b977043fde5d9d76c6dc2bdc5f2f115f9558d0 |
File details
Details for the file iambic-2.3.2-py3-none-any.whl.
File metadata
- Download URL: iambic-2.3.2-py3-none-any.whl
- Upload date:
- Size: 2.1 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.0.10 CPython/3.7.8 Linux/5.3.0-1034-azure
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9257d339b3238fd141a0c890b55d2e88ab02816479ede64baa321d8610e42c6f |
|
| MD5 | a6400f3df8ab1d132a7dc35ac089e597 |
|
| BLAKE2b-256 | 8c1c5cb98bb5d5495d7a09df5439df04f5b035bd1541bde943b6c1b4dfe3fa13 |
