semvec/pypi-packages huggingface dataset:
FacebookMessengerAnalyzer 0.0.3
A library which allows users to easily run simple Data Analytics on their Facebook Messenger Data
Requires Python: >=3.6

# FacebookMessengerAnalyzer

A library which allows users to you easily run some simple Data Analytics on their Facebook Messenger Data

https://github.com/zegarmm001/FacebookMessengerAnalyzer

### Introduction 

To install simply open your Python Temrinal and pip install

```python -m pip install FacebookMessengerAnalyzer```

### Getting Started

You will need to download your Facebook Messenger Data! Is can be easily done by visiting:

https://www.facebook.com/dyi/?referrer=yfi_settings

MAKING SURE YOU SELECT FORMAT: JSON as this is the data format this library analyzes. You can select whatever data you would like to download but we are most concerned with the "Messages" tab. 

Once you have Selected your desired Date Range, Format =JSON and whatever quality suits you, select Create file. It took me a few hours before I got an email from Facebook saying my data is ready to download, so beware.

Once downloaded, you will need to uncompressed your data using coming like 7Zip or WinRaR.

Now, depending where you uncompresed your data, find your way to that location and navigate to ```.\messages\inbox\```

You will see a long list of folders at this location each corresponding to a different chat! Decide which chat you want to analyze and copy its path. This is all you need to start analyzing!

Now open your favorite python IDE. 

```
from FacebookMessengerAnalyzer import IndividualMesseges

PATH_TO_THE_FACEBOOK_DATA = r'C:\Users\Test\Facebook\messages\inbox\samsmith'

Facebook_messages_object =  IndividualMesseges(PATH_TO_THE_FACEBOOK_DATA )

#Get a quick description of your chat
Facebook_messages_object.describe()
```

There is a tests folder which contains a FacebookMessengerAnalyzer_test.py file with sample data which you can play with! 

### Plotting

```
from FacebookMessengerAnalyzer import IndividualMesseges

PATH_TO_THE_FACEBOOK_DATA = r'C:\Users\Test\Facebook\messages\inbox\samsmith'

Facebook_messages_object =  IndividualMesseges(PATH_TO_THE_FACEBOOK_DATA )

#plot of messages sent each month
Facebook_messages_object.plot_counts()

#plot the sentiment of the conversations aggregated by month
Facebook_messages_object.plot_sentiments()
```

### What is Sentiment Analysis?

VADER Sentiment Analysis. 
        VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains. It provides a number between -1 and 1 which indicates the sentiment ("attitude"/"happiness") of the messages.
        The VADER lexicon is an empirically validated by multiple independent human judges, VADER incorporates a "gold-standard"  sentiment lexicon that is especially attuned to microblog-like contexts. 
        
This library will run this and visual your results with on line of code! (assuming you have initialized a object as shown earlier)

```Facebook_messages_object.plot_sentiments()```
turtledov 0.1.4
Learn Python the creative way
Requires Python: >=3.6

# TurtleDov

![PyPI](https://img.shields.io/pypi/v/turtledov?color=blue)
[![Downloads](https://pepy.tech/badge/turtledov)](https://pepy.tech/project/turtledov)
<img src="https://img.shields.io/static/v1?label=python&message=3.6 | 3.7 | 3.8 | 3.9&color=blue">
![PyPI - Wheel](https://img.shields.io/pypi/wheel/turtledov)
![GitHub](https://img.shields.io/github/license/HirushaPramuditha/turtledov)

Learn Python the creative way

## Installation

To install TurtleDov, Run this command on terminal

```
$ pip install turtledov
```

## How to use

```python
from turtledov import *
```

`*` for import all fuctions from turtleDov

### Example

Let's draw a square using **turtledov**

```python
from turtledov import *

start()
moveForward(100)
turnRight(90)
moveForward(100)
turnRight(90)
moveForward(100)
turnRight(90)
moveForward(100)
end()
```

You should use `start()` at the start and `end()` at the end

You can see a full list of functions [here](https://gist.github.com/HirushaPramuditha/5a63ff7b4b0c767ec95190f04dd73340)
xreubawion1 2.0.5
sdfee
Requires Python: >=3.6, <4
Keywords: sample,setuptools,development

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OrlandoPythonSDK 0.0.3
我的自用模块

# XuXiangPythonLibrary

#### 介绍
{**以下是 Gitee 平台说明，您可以替换此简介**
Gitee 是 OSCHINA 推出的基于 Git 的代码托管平台（同时支持 SVN）。专为开发者提供稳定、高效、安全的云端软件开发协作平台
无论是个人、团队、或是企业，都能够用 Gitee 实现代码托管、项目管理、协作开发。企业项目请看 [https://gitee.com/enterprises](https://gitee.com/enterprises)}

#### 软件架构
软件架构说明


#### 安装教程

1.  xxxx
2.  xxxx
3.  xxxx

#### 使用说明

1.  xxxx
2.  xxxx
3.  xxxx

#### 参与贡献

1.  Fork 本仓库
2.  新建 Feat_xxx 分支
3.  提交代码
4.  新建 Pull Request


#### 特技

1.  使用 Readme\_XXX.md 来支持不同的语言，例如 Readme\_en.md, Readme\_zh.md
2.  Gitee 官方博客 [blog.gitee.com](https://blog.gitee.com)
3.  你可以 [https://gitee.com/explore](https://gitee.com/explore) 这个地址来了解 Gitee 上的优秀开源项目
4.  [GVP](https://gitee.com/gvp) 全称是 Gitee 最有价值开源项目，是综合评定出的优秀开源项目
5.  Gitee 官方提供的使用手册 [https://gitee.com/help](https://gitee.com/help)
6.  Gitee 封面人物是一档用来展示 Gitee 会员风采的栏目 [https://gitee.com/gitee-stars/](https://gitee.com/gitee-stars/)
XuXiangPythonLibrary 0.0.2
我的自用模块

# XuXiangPythonLibrary

#### 介绍
{**以下是 Gitee 平台说明，您可以替换此简介**
Gitee 是 OSCHINA 推出的基于 Git 的代码托管平台（同时支持 SVN）。专为开发者提供稳定、高效、安全的云端软件开发协作平台
无论是个人、团队、或是企业，都能够用 Gitee 实现代码托管、项目管理、协作开发。企业项目请看 [https://gitee.com/enterprises](https://gitee.com/enterprises)}

#### 软件架构
软件架构说明


#### 安装教程

1.  xxxx
2.  xxxx
3.  xxxx

#### 使用说明

1.  xxxx
2.  xxxx
3.  xxxx

#### 参与贡献

1.  Fork 本仓库
2.  新建 Feat_xxx 分支
3.  提交代码
4.  新建 Pull Request


#### 特技

1.  使用 Readme\_XXX.md 来支持不同的语言，例如 Readme\_en.md, Readme\_zh.md
2.  Gitee 官方博客 [blog.gitee.com](https://blog.gitee.com)
3.  你可以 [https://gitee.com/explore](https://gitee.com/explore) 这个地址来了解 Gitee 上的优秀开源项目
4.  [GVP](https://gitee.com/gvp) 全称是 Gitee 最有价值开源项目，是综合评定出的优秀开源项目
5.  Gitee 官方提供的使用手册 [https://gitee.com/help](https://gitee.com/help)
6.  Gitee 封面人物是一档用来展示 Gitee 会员风采的栏目 [https://gitee.com/gitee-stars/](https://gitee.com/gitee-stars/)
ersreion1 2.0.5
sdfee
Requires Python: >=3.6, <4
Keywords: sample,setuptools,development

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django-admin-sbf 0.5
A Django admin app to search by specific field instead of all fields

============================
Django Admin Search-by-Field
============================

Django Admin SBF is a Django admin app to customise the default search functionality to search by specific field instead
of all the fields. This helps in reducing the SQL query overload when there are too much data to process
and multiple fields to search from.

Detailed documentation is in the "docs" directory.

Quick start
-----------

1. Install

.. code-block::

    pip install django-admin-sbf

2. Add "django_admin_sbf" to your INSTALLED_APPS setting like this::

    INSTALLED_APPS = [
        ...
        'django_admin_sbf',
    ]

3. Extent the admin class for any model using `DjangoAdminSBF` instead of `ModelAdmin`

4. Define `search_fields` same as Django default.

Screenshots
-----------

.. image:: assets/image/admin_sbf.png
   :alt: Django admin sbf

Example
-------

.. code-block::

   @admin.register(Education)
   class EducationAdmin(DjangoAdminSBF):

       search_fields = [
           'course',
           'subject
       ]