semvec/pypi-packages huggingface dataset:
cowEncryption 0.1
This library is used for Encryption your code
License: MIT
Requires Python: >=3.10
Keywords: cowEncryption,Cow Encryption,Python Encryption,Latip176,Encryption,Muhammad Latif Harkat

## cowEncryption
The documentation of library cowEncryption

### Installtion
You can install cowEncryption by running the following command:
```
pip install cowEncryption
```

### Upgrade
You can upgrade cowEncryption by running the following command:
```
pip install cowEncryption --upgrade
```

### Usage
```PYTHON
from cowEncryption import savior

#your name / path file project
file = "example.py"

#Encryption
Encrypt = savior.Encryption(file, jenis="file").encPrem()

#check status
print(Encrypt)
```

### Function
1. To Encrypt your project files to keep them safe from thieves
2. Protect your project files from thieves
3. Shorten your coding

### License
The MIT License (MIT). Please see [License File](https://github.com/Latip176/cowEncryption/blob/main/LICENSE) for more information.

## Authors
You can visit [authors page](https://github.com/Latip176/cowEncryption/blob/main/AUTHORS)
brwording 0.1.3
brwording - Processamento de Linguagem Natural em Português
License: MIT

## `BRWording` - Text Analytics for Portuguese Wordings

Create an easy Text Analytics in *`One-Line-Code`*

<hr>

![](https://img.shields.io/badge/pypi-3.3.0-blue) ![](https://img.shields.io/badge/python-3.0|3.0|3.0-lightblue) ![](https://img.shields.io/badge/Licence-MIT-lightgray) ![](https://img.shields.io/badge/status-Beta-darkgreen) ![](https://img.shields.io/badge/pipeline-passed-green) ![](https://img.shields.io/badge/testing-passing-green) ![](https://img.shields.io/badge/TheScientist-APP-brown)


**Main Features:**

- Load `Excel`, `CSV` and `TXT` file types
- Stemming
- Lemmatization
- Stopwords
- TD-IDF
- Sentimental Analysis
- Graphical interpretation
- Word Cloud

The TF-IDF was calculated by:

![img](https://github.com/TheScientistBr/BRWording/blob/main/images/tf-idf.png?raw=true)

<hr>

## How to Install

```shell
pip install BRWording
pip install pdfminer-six
```

<BR>
<hr>
<BR>

## How to use

`sintax`:
```python
from brwording.brwording import wording

w = brwording.wording()

w.load_file('data/example.txt',type='txt')
w.build_tf_idf(lemmatizer=True,stopwords=True)

w.tfidf

```

The fields to `load_file` are:
3. `file`: the file path 
3. `type`: file type, can be `txt csv` or `excel`
3. `header`: if you are reading a csv file, so you must tell if this file has a header or not (`False` or `True`)
0. `sep`: if you are reading a csv file, you must tell what kind field separator you want
0. `column`: if you read a `csv` or `excel`file, you must tell what column you want to parse

The method `build_tf_idf` has a default `True`option for both parameters.

**Output**

![img](https://github.com/TheScientistBr/BRWording/blob/main/images/tfidf.png?raw=true)

If want to see the sentimental Graphical interpretation

`sintax`:
```python

w.sentimental_graf()

```
You can rotate the graph if you pass `rotate=True` in argument

**output**

![img](https://github.com/TheScientistBr/BRWording/blob/main/images/graf_sentimental.png?raw=true)

You can print the same information as a table using the follow command:


`sintax`:
```python

w.sentimental_table()

```

<br>

if you want to create a wordcloud, just strike the folowing command, but if you want to create a cloud with your own mask, just pass you image address as `picture`

`sintax`:
```python
w.word_cloud(picture='none')

```

**output**

![img](https://github.com/TheScientistBr/BRWording/blob/main/images/wc.png?raw=true)

<hr>
<BR>

**Looking for a word into colection**

if you want to see what files on your colection has a word, run `look3word` 

`sintax`:
```python
w.look3word('bonito')

```

<BR>

New features are incoming.

<hr>
<BR>

`enjoi!`
micropack 0.1.1.dev0
Lightweight JSON serialisation and diff-patching tool for bandwitdth constained applications
License: MIT
Requires Python: >=3.3,<4.0
Keywords: iot,diff,json,micropython,msgpack,patch,lora,OTA,jsondiff

<img width=80% 
src="https://user-images.githubusercontent.com/29259177/203023707-0a5a84eb-de45-482b-a8e5-d6b22c4f09df.png"
style="margin-left: auto; margin-right: auto;display: block;">

###
 Lightweight JSON serialisation and diff-patching tool for bandwitdth constained applications

![image](https://user-images.githubusercontent.com/29259177/203046086-1c4e36f3-8a81-42b9-bed0-232f970ed90a.png)