semvec/pypi-packages huggingface dataset:
pyKadabra 0.0.2
A wrapper to use pygsheets
Requires Python: >=3.7

# Setup

How to save your 'GS_SERVICE_ACCOUNT' env-var to use this code
```
Your 'GS_SERVICE_ACCOUNT' needs to be the whole json file as a string instead of the path to the file.
Then, it also needs to be encrypted. To have the correct format, copy the json file contents to your clipboard, then
go in the terminal and execute `pbpaste | base64 | pbcopy`. These commands will encrypt the json content and put it back
to your clipboard. Then just paste the encrypted contents to your local env-var
```
i.e.

copy the content of the `.json` file to your memory and run the  following in terminal:
```shell
pbpaste | base64 | pbcopy
```
this will give you an encrypted string

save this sting as a envar called `GS_SERVICE_ACCOUNT`

# Initiate

```python
from pyKadabra import kinesis

sheet_url = 'https://docs.google.com/spreadsheets/d/1Alaj8Pb6sy3_W2oGb9WUoYznFof5W7kigAx/edit?usp=sharing'
working_sheet = kinesis.gsheets_handler(gsheet_url=sheet_url)
```

## Usage examples

##### create sheet
```python
working_sheet.create_sheet(worksheet='Psybeam')
```

##### delete
```python
working_sheet.delete_sheet(worksheet='Psyshock') # sheet with name
working_sheet.delete_sheet(worksheet=1) # sheet with index
```

##### writ to sheets
```python
working_sheet.write_to_sheet(input_dataframe=df_test, worksheet='Future Sight') # sheet with name
working_sheet.write_to_sheet(input_dataframe=df_test, worksheet=2) # sheet with index
```

##### count rows
```python
working_sheet.count_rows(worksheet='Future Sight')
```
##### clear range
```python
working_sheet.clear_range(worksheet='Future Sight') # entire sheet
working_sheet.clear_range(worksheet='Future Sight', clear_range_str='B2:D4') # subsection only
```

##### read from sheets
```python
df_read = working_sheet.read_sheet(worksheet='Future Sight') # sheet with name
df_read = working_sheet.read_sheet(worksheet=1) # sheet with index
df_read2 = working_sheet.read_sheet(worksheet='Future Sight', target_range_str='B1:C4') # subsection only
```
kasperdb 1.7.2
Simple database for your project. Local database!!!
Requires Python: >=3.7

# kasperdb
Упрощённая в использовании база данных для python. ЛОКАЛЬНАЯ БАЗА ДАННЫХ

# пример кода:
<p>
from kasperdb import db, config
import random
confi.debug = True#логи в консоли о действиях дб можно убрать.

db.create("t")#создать базу данных под названием t

data = db.get("t")#получаем то что у нас в базе
print(data)#выводим базу

f = ["you gay!", "you not gay!"]#список хрени
data["you gay?"] = random.choice(f)#записуем в переменную базы данных хандом херню из списка
db.set("t", data)#записуем новые данные

print(db.get("t"))#выводим результат добавления данных

db.delete("t")#удаляем базу данных t</p>
katia 0.1.1
Katia is a wonderfull assistant created for help people to iteract with the digital world
Requires Python: >=3.8.0,<4.0.0
Keywords: OPENAI,chatgpt,assistant,voice

.. _topics-index:

============
Katia Readme
============

.. image:: https://katia.readthedocs.io/en/latest/_images/logo.png
    :align: center
    :alt: logo
    :height: 300px

|

.. image:: https://img.shields.io/badge/code%20style-black-000000.svg
    :target: https://github.com/psf/black

.. image:: https://github.com/martingaldeca/Katia/actions/workflows/linters.yml/badge.svg?event=push
    :target: https://github.com/martingaldeca/Katia/actions
    :alt: Linters

.. image:: https://github.com/martingaldeca/Katia/actions/workflows/tests.yml/badge.svg?event=push
    :target: https://github.com/martingaldeca/Katia/actions
    :alt: Tests

.. image:: https://coveralls.io/repos/github/martingaldeca/Katia/badge.svg?branch=master
    :target: https://coveralls.io/github/martingaldeca/Katia?branch=master
    :alt: Coverage

.. image:: https://img.shields.io/pypi/v/katia.svg
    :target: https://pypi.org/project/katia/
    :alt: PyPI

.. image:: https://readthedocs.org/projects/katia/badge/
    :target: https://katia.readthedocs.io/en/latest/
    :alt: docs

Katia is a python project ment to be used as a package to create assistants where they are
needed.

It is based on the top techs in the market. It uses ``OPENAI API`` to understand what are
you telling to her/him. To speak with you he/she uses ``AWS Polly``. And, to heard what are
you telling to him/her he/she uses ``Google recognizer``.

Yo can check the code in `GitHub <https://github.com/martingaldeca/Katia>`_ or follow the
`official documentation <https://katia.readthedocs.io/en/latest/>`_.