semvec/pypi-packages huggingface dataset:
file2text 0.1.0
Python package to read pdf / word file and extract text from it.
License: MIT
Requires Python: >=3.11,<4.0

# file2text

Python package to read WORD (docx) file and extract text from it.

## Installation

```bash
$ pip install file2text
```

## Usage

- Input the path of WORD file (.docx), and the output will be the text in the file.
```Python
import file2text
text = file2text.convert_word("FILENAME.docx")
```

## Contributing

Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

## License

`file2text` was created by Beth Ou Yang. It is licensed under the terms of the MIT license.

## Credits

`file2text` was created with [`cookiecutter`](https://cookiecutter.readthedocs.io/en/latest/) and the `py-pkgs-cookiecutter` [template](https://github.com/py-pkgs/py-pkgs-cookiecutter).
pycounts_tt_2024 0.1.0
Calculate word counts in a text file!
License: MIT
Requires Python: >=3.9

# pycounts_tt_2024

Calculate word counts in a text file!

## Installation

```bash
$ pip install pycounts_tt_2024
```

## Usage

`pycounts` can be used to count words in a text file and plot results
as follows:

```python
from pycounts.pycounts import count_words
from pycounts.plotting import plot_words
import matplotlib.pyplot as plt

file_path = "test.txt"  # path to your file
counts = count_words(file_path)
fig = plot_words(counts, n=10)
plt.show()
```


## Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

## License

`pycounts_tt_2024` was created by Tiffany Timbers. It is licensed under the terms of the MIT license.

## Credits

`pycounts_tt_2024` was created with [`cookiecutter`](https://cookiecutter.readthedocs.io/en/latest/) and the `py-pkgs-cookiecutter` [template](https://github.com/py-pkgs/py-pkgs-cookiecutter).