semvec/pypi-packages huggingface dataset:
enaml-native-barcode 1.0.1
QRCode and barcode scanning for enaml-native using zxing
License: MIT

# enaml-native-barcode

A QRCode reader and barcode scanning package for enaml-native using [zxing](https://github.com/zxing/zxing).
More specifically, it uses the embedded version provided by [zxing-android-embedded](https://github.com/journeyapps/zxing-android-embedded).

[![See the demo on youtube](https://img.youtube.com/vi/lYF8XioDd78/0.jpg)](https://youtu.be/lYF8XioDd78)



### Installation

To install:

`enaml-native install enaml-native-barcode`

__And add `enaml-native-barcode:""` to your app's project dependencies!__

To remove:

`enaml-native uninstall enaml-native-barcode`


### Usage

See the example in examples. Versions used are listed in the `requirements.txt`

1. Install the latest `enaml-native-cli==1.3.1` 
2. Create a new app `enaml-native init BarcodeDemo com.example.barcode apps/`
3. Activate the venv `cd apps/BarcodeDemo` and `source venv/bin/activate`
4. Install `enaml-native install enaml-native-barcode`
5. Add `enaml-native-barcode: ""` to your apps `package.json` under the android dependencies
6. Copy in the `main.py` and `view.enaml` from the example folder to your apps `src` folder
7. Run `enaml-native build-python`
8. Run `enaml-native run-android`

Enjoy!
SPLAT-library 0.4.4
Speech Processing & Linguistic Analysis Tool
License: MIT
Keywords: nlp

SPLAT is a command-line application designed to make it easy for linguists (both computer-oriented and non-computer-oriented) to use the Natural Language Tool Kit (NLTK) for analyzing virtually any text file.

SPLAT is designed to help you gather linguistic features from text files and it is assumed that most input files will not be already annotated. In order for SPLAT to function properly, you should ensure that the input files that you provide do not contain any annotations. Because there are so many variations of linguistic annotation schemes, it would simply be impossible to account for all of them in the initial parsing of input files; it is easier for you to remove any existing annotations than it is for me to do so.