semvec/pypi-packages huggingface dataset:
twneo 0.0.6
uses twitter api to create neo4j graphs
Requires Python: >=3.6

# Description 

Used to create graph for tweets collected from a twitter api query. 


# Limitations 

Not a general purpose twitter library rather its focus is on andling collected twitter data. works a bridge between twittr api results and the neo4j databse graphs.
Implements result is the format described here. 

# Installation 

pip install twneo

# Example use
papexp 0.4.1
A simple exporter for the paprika app.
Requires Python: >=3.6

# Paprika Exporter

Export Paprika data using the API to yaml

# Introduction

This tool statically generates a list of Paprika recipes in YAML format, with a related folder of images.

# Installation

pip3 install papexp

# Issues

Make sure to delete recipes from the trash in the app because it can cause errors.

This code places the recipes yaml file in the _data/ directory, and creates it if it does not exist.

This code puts image files into assets/images/recipes, and creates that folder if it does not exist. This is not compatible with the original sstarcher code which used "images/recipes". You may need to relocate these files after retreval if it does not match your required file path.

# Example python code

import papexp
from papexp import core
papexp.core.checkandrun()

# Examples on the web

You can see this live on [chrisfnicholson.com][1]

[@datapolitical/chrisfnicholson.github.io][2] runs this code in its build_jekyll.yml workflow to routinely pull new recipes. An edited version is available as a workflow in this repository.

This code is almost entirely the work of [Shane Starcher][3]. I’m deeply grateful to him for building this.

My goal with this package is to make implementation of his code on your website dead simple.

[1]:	https://chrisfnicholson.com/recipes.html
[2]:	http://www.github.com/datapolitical/chrisfnicholson.github.io
[3]:	https://github.com/sstarcher/paprika-exporter
google-datacatalog-connectors-commons 0.6.9
Common resources for Data Catalog connectors

# google-datacatalog-connectors-commons

Common resources for Data Catalog connectors.

[![Python package][1]][1] [![PyPi][2]][3] [![License][4]][4] [![Issues][5]][6]

**Disclaimer: This is not an officially supported Google product.**

<!--
  ⚠️ DO NOT UPDATE THE TABLE OF CONTENTS MANUALLY ️️⚠️
  run `npx markdown-toc -i README.md`.

  Please stick to 80-character line wraps as much as you can.
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## Table of Contents

<!-- toc -->

- [1. Installable file build process](#1-installable-file-build-process)
  * [1.1. Get the code](#11-get-the-code)
  * [1.2. Virtualenv](#12-virtualenv)
      - [1.2.1. Install Python 3.6](#121-install-python-36)
      - [1.2.2. Create and activate a *virtualenv*](#122-create-and-activate-a-virtualenv)
- [2. Developer environment](#2-developer-environment)
  * [2.1. Install and run YAPF formatter](#21-install-and-run-yapf-formatter)
  * [2.2. Install and run Flake8 linter](#22-install-and-run-flake8-linter)
  * [2.3. Install the package in editable mode (i.e. setuptools “develop mode”)](#23-install-the-package-in-editable-mode-ie-setuptools-develop-mode)
  * [2.4. Run the unit tests](#24-run-the-unit-tests)

<!-- tocstop -->

-----

## 1. Installable file build process

### 1.1. Get the code

````bash
git clone https://github.com/GoogleCloudPlatform/datacatalog-connectors
cd datacatalog-connectors/google-datacatalog-connectors-commons
````

### 1.2. Virtualenv

Using *virtualenv* is optional, but strongly recommended.

##### 1.2.1. Install Python 3.6

##### 1.2.2. Create and activate a *virtualenv*

```bash
pip3 install --upgrade virtualenv
python3 -m virtualenv --python python3.6 env
source ./env/bin/activate
```

## 2. Developer environment

### 2.1. Install and run YAPF formatter

```bash
pip install --upgrade yapf

# Auto update files
yapf --in-place --recursive src tests

# Show diff
yapf --diff --recursive src tests

# Set up pre-commit hook
# From the root of your git project.
curl -o pre-commit.sh https://raw.githubusercontent.com/google/yapf/master/plugins/pre-commit.sh
chmod a+x pre-commit.sh
mv pre-commit.sh .git/hooks/pre-commit
```

### 2.2. Install and run Flake8 linter

```bash
pip install --upgrade flake8
flake8 src tests
```

### 2.3. Install the package in editable mode (i.e. setuptools “develop mode”)

```bash
pip install --editable .
```

### 2.4. Run the unit tests

```bash
python setup.py test
```

[1]: https://github.com/GoogleCloudPlatform/datacatalog-connectors/workflows/Python%20package/badge.svg?branch=master
[2]: https://img.shields.io/pypi/v/google-datacatalog-connectors-commons.svg
[3]: https://pypi.org/project/google-datacatalog-connectors-commons/
[4]: https://img.shields.io/github/license/GoogleCloudPlatform/datacatalog-connectors.svg
[5]: https://img.shields.io/github/issues/GoogleCloudPlatform/datacatalog-connectors.svg
[6]: https://github.com/GoogleCloudPlatform/datacatalog-connectors/issues