semvec/pypi-packages huggingface dataset:
sfdxmagic 0.0.2
Execute cells with SOQL and APEX within Jupyter notebooks
Keywords: soql,jupyter,salesforce,apex

# jupyter-sfdxmagic

## Description

This is a set of cell magics to run anonymous APEX code in notebooks and perform SOQL queries returning the records in a pandas DataFrame.

## Prerequisite

The connection to Salesforce are performed through sfdx, the magic assume sfdx is correctly installed and at least the default organization has been authorized.

The module assumes to be in the same environment where `jupyterlab` is installed

## Installation

Through pip

```
$ pyhthon -m pip install sfdxmagic
```


## Usage

To load the extension:

```
%load_ext sfdxmagic
```

### `%%sfdx:apex`

Runs anonymous APEX:

```
%%sfdx:apex
System.debug('hello world!');
```

Append the name of a variable to return the log lines as a list

```
%%sfdx:apex logs
...
```

### `%%sfdx:query`

Perform a SOQL query:

```
%%sfdx:query
SELECT Id, Name FROM Lead LIMIT 10
```

Append the name of a variable to return the records as a pandas DataFrame

```
%%sfdx:query df_records
...
```

### General invocation

Parameters passed to the commands are forwarded to the sfdx cli, this allows to retrieve results from multiple organizations in the same notebook.

```
%%sfdx:query df_records_org1 --targetusername username@domain.com.org1
...
```

```
%%sfdx:query df_records_org2 --targetusername username@domain.com.org2
...
```

## Known issues

- Missing subquery handling, results are not unpacked and the projection is lost

## License

MIT
pydialogflow-fulfillment 0.1.4
This Library makes creating fulfillment for Dialogflow v2 agents with Django or Flask easy and simple
Keywords: Dialogflow,Dialogflow fulfillment,Dialogflow fulfillment v2,pydialogflow_fulfillment

# Dialogflow Fulfillment Python

[![Made in Nigeria](https://img.shields.io/badge/made%20in-nigeria-008751.svg?style=flat-square)](https://github.com/acekyd/made-in-nigeria)
![pydialogflow_fulfillment](https://github.com/Emmarex/dialogflow-fulfillment-python/workflows/pydialogflow_fulfillment/badge.svg)
[![PyPI version](https://badge.fury.io/py/pydialogflow-fulfillment.svg)](https://badge.fury.io/py/pydialogflow-fulfillment)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pydialogflow-fulfillment.svg)
[![Documentation Status](https://readthedocs.org/projects/dialogflow-fulfillment-python/badge/?version=latest)](https://dialogflow-fulfillment-python.readthedocs.io/en/latest/?badge=latest)
![GitHub issues](https://img.shields.io/github/issues/emmarex/dialogflow-fulfillment-python.svg)
![PyPI - Downloads](https://img.shields.io/pypi/dm/pydialogflow-fulfillment.svg)

The <a href="https://dialogflow.com/docs/fulfillment" target="_blank">Dialogflow Fulfillment Library</a> allows you to connect natural language understanding and processing to your own systems, APIs, and databases. Using Fulfillment, you can surface commands and information from your services to your users through a natural conversational interface.

This Library makes creating fulfillment for Dialogflow v2 agents with <a href="https://www.djangoproject.com" target="_blank">Django</a> or <a href="http://flask.pocoo.org" target="_blank">Flask</a> easy and simple.

## Supported Features

### Google Assistant
<ol>
    <li>Confirmation</li>
    <li>Simple Response</li>
    <li>System Intent</li>
    <li>Suggestions</li>
    <li>Link out Suggestion</li>
    <li>Google Assistant Signin</li>
    <li>Permissions</li>
    <li>RegisterUpdate</li>
    <li>DateTime</li>
    <li>DeliveryAddress</li>
    <li>OuputContext</li>
    <li>Table</li>
</ol>

### Telegram
<ol>
    <li>Simple Telegram Response</li>
    <li>Telegram Message Response with support for HTML and Markdown</li>
    <li>Telegram Keyboard Button Response</li>
</ol>

## Quick Start

1. <a href="https://console.dialogflow.com/api-client/#/login" target="_blank">Login or Create a Dialogflow Account</a>
2. Create a Dialogflow agent or import samples
3. Setup your Django or Flask API</a>
4. Install this library from Pip using `pip install pydialogflow-fulfillment`
5. Go to <b>Fulfillment > Enable Webhook > Enter the url for your API > Enable webhook for all domains</b> 

## Upgrade 

`pip install --upgrade pydialogflow-fulfillment`

## Usage
View <a href="https://dialogflow-fulfillment-python.readthedocs.io/en/latest/" target="_blank">usage documentation</a> on Read the Docs.

## License
See LICENSE.md.
connect-4 0.1.0b3
A connect 4 CLI game
Requires Python: >=3.6

# Connect 4

This project will develop a connect 4 game with intelligent bot.


## INSTALL

To install connect 4 on your machine use the command below

Required python version python 3.6 or above

```
pip install connect-4
```

To play the game run the command below after installation

```
connect_4
```