semvec/pypi-packages huggingface dataset:
liwc-text-analysis 1.0.2
A python package for the Linguistic Inquiry and Word Count (LIWC) dictionary.
Requires Python: >=3.6

[![Build Status](https://travis-ci.org/evanll/liwc-text-analysis-python.svg?branch=master)](https://travis-ci.org/evanll/liwc-text-analysis-python)

# LIWC Text Analysis - Python
A python package for the Linguistic Inquiry and Word Count (LIWC) dictionary. This package requires the proprietary LIWC dictionary file (.dic), that can be obtained from [LIWC.net](http://liwc.net/). 

## Usage
```python
>>> from liwc import Liwc
>>> liwc = Liwc(LIWC_FILEPATH)
>>> # Search a word in the dictionary to find in which LIWC categories it belongs
>>> print(liwc.search('happy'))
['affect', 'posemo']
>>> # Extract raw counts of words in a document that fall into the various LIWC categories
>>> print(liwc.parse('I love ice cream.'.split(' ')))
Counter({'verb': 1, 'present': 1, 'affect': 1, 'posemo': 1, 'bio': 1, 'sexual': 1, 'social': 1})
```
## Tests
The project comes with an extensive set of unit tests. The Pytest framework is used for unit testing. 
To run the tests use:  
`pytest`

## Project repository
https://github.com/evanll/liwc-text-analysis-python

## Author
Written by Evan Lalopoulos <evan.lalopoulos.2017@my.bristol.ac.uk>

**Evan Lalopoulos** - [evanll](https://github.com/evanll)
lammps-parse 0.1.0
Input file writers and output file parsers for Lammps.

[![PyPI version](https://badge.fury.io/py/lammps-parse.svg)](https://badge.fury.io/py/lammps-parse)

# lammps-parse
Input file writers and output file readers for the molecular dynamics simulation code Lammps.

## Installation

`pip install lammps-parse`

## Functionality/roadmap

Functionality is currently rather limited and specific to my original use-cases. Pull-requests are welcome!

### Readers:

- ✅ `read_lammps_log`
- ✅ `read_lammps_dump`
- ✅ `read_lammps_output`
- ✅ `check_success`

### Writers:

- ✅ `write_lammps_inputs`
- ✅ `write_lammps_atoms`
tal 0.0.6
Build Tool

# tal

Deploys python GCP Functions with private git requirements.

### Install

    pip install tal

### Deploying Functions:


  1. Add the following to `main.py`

          import sys
          sys.path.append('lib')

  1. Put git dependencies in `private_requirements.txt`.
  2. Make sure there is no `lib/` directory.
  3. Run `tal func deploy my_func --stage dev`.


### Creating Repositories:

  1. Run `tal repo create my_repo`


### Creating Buckets:

  1. Run `tal storage create-bucket my_bucket`


### Deleting Buckets:

  1. Run `tal storage delete-bucket my_bucket`


### Uploading Files:

  1. Run `tal storage upload my_file.txt --bucket=my_bucket --path=my/nested/path`


### Inspiration

Build like Tal: https://www.youtube.com/watch?v=CF6w2-WNZLE