Vinayak Mehta
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If you're reading this, you're probably looking to contributing to Camelot. *Time is the only real currency*, and the fact that you're considering spending some here is *very* generous of you. Thank you very much!
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This document will help you get started with contributing documentation, code, testing and filing issues. If you have any questions, feel free to reach out to [Vinayak Mehta](http://vinayak-mehta.github.io), the author and maintainer.
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This document will help you get started with contributing documentation, code, testing and filing issues. If you have any questions, feel free to reach out to [Vinayak Mehta](https://vinayak-mehta.github.io), the author and maintainer.
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## Code Of Conduct
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14
README.md
14
README.md
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**Camelot** is a Python library which makes it easy for *anyone* to extract tables from PDF files!
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---
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**Here's how you can extract tables from PDF files.** Check out the PDF used in this example, [here](docs/_static/pdf/foo.pdf).
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**Here's how you can extract tables from PDF files.** Check out the PDF used in this example, [here](https://github.com/socialcopsdev/camelot/blob/master/docs/_static/pdf/foo.pdf).
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<pre>
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>>> import camelot
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| 2032_2 | 0.17 | 57.8 | 21.7% | 0.3% | 2.7% | 1.2% |
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| 4171_1 | 0.07 | 173.9 | 58.1% | 1.6% | 2.1% | 0.5% |
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There's a [command-line interface](http://camelot-py.readthedocs.io/en/master/user/cli.html) too!
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There's a [command-line interface](https://camelot-py.readthedocs.io/en/latest/user/cli.html) too!
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## Why Camelot?
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@ -51,7 +51,7 @@ See [comparison with other PDF table extraction libraries and tools](https://git
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## Installation
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After [installing the dependencies](http://camelot-py.readthedocs.io/en/master/user/install.html), [tk](https://packages.ubuntu.com/trusty/python-tk) and [ghostscript](https://www.ghostscript.com/), you can simply use pip to install Camelot:
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After [installing the dependencies](https://camelot-py.readthedocs.io/en/latest/user/install.html) ([tk](https://packages.ubuntu.com/trusty/python-tk) and [ghostscript](https://www.ghostscript.com/)), you can simply use pip to install Camelot:
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<pre>
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$ pip install camelot-py
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### Alternatively
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After [installing the dependencies](http://camelot-py.readthedocs.io/en/master/user/install.html), clone the repo using:
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After [installing the dependencies](https://camelot-py.readthedocs.io/en/latest/user/install.html), clone the repo using:
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<pre>
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$ git clone https://www.github.com/socialcopsdev/camelot
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## Development
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The [Contributor's Guide](CONTRIBUTING.md) has detailed information about contributing code, documentation, tests and more. We've included some basic information in this README.
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The [Contributor's Guide](https://camelot-py.readthedocs.io/en/latest/dev/contributing.html) has detailed information about contributing code, documentation, tests and more. We've included some basic information in this README.
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### Source code
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## License
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This project is licensed under the MIT License, see the [LICENSE](LICENSE) file for details.
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This project is licensed under the MIT License, see the [LICENSE](https://github.com/socialcopsdev/camelot/blob/master/LICENSE) file for details.
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# -*- coding: utf-8 -*-
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VERSION = (0, 1, 0)
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VERSION = (0, 1, 1)
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__title__ = 'camelot-py'
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__description__ = 'PDF Table Extraction for Humans.'
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<style type="text/css">
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div.section h1 {font-size: 225%;}
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div.section h1 {font-size: 210%;}
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/* "Quick Search" should be capitalized. */
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div#searchbox h3 {text-transform: capitalize;}
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/* Make the document a little wider, less code is cut-off. */
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@ -7,7 +7,7 @@ If you're reading this, you're probably looking to contributing to Camelot. *Tim
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This document will help you get started with contributing documentation, code, testing and filing issues. If you have any questions, feel free to reach out to `Vinayak Mehta`_, the author and maintainer.
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.. _Vinayak Mehta: http://vinayak-mehta.github.io
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.. _Vinayak Mehta: https://vinayak-mehta.github.io
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Code Of Conduct
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---------------
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@ -61,7 +61,6 @@ Why Camelot?
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- **Metrics**: *Bad* tables can be discarded based on metrics like accuracy and whitespace, without ever having to manually look at each table.
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- Each table is a **pandas DataFrame**, which enables seamless integration into `ETL and data analysis workflows`_.
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- **Export** to multiple formats, including json, excel and html.
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- Simple and Elegant API, written in **Python**!
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See `comparison with other PDF table extraction libraries and tools`_.
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