semvec/pypi-packages huggingface dataset:
Covid-Dashboard-pkg-tsturgeon 0.0.2
A Covid Dashboard to show current news and data.
Requires Python: >=3.9.7

# Covid-1 Dashboard Tom Sturgeon

## Table of contents:

- [Introduction](###Introduction)
- [Prerequisites](###Prerequisites)
- [Installing](###Installing)
- [Config File](###Config-File)
- [Running](###Running)
- [Testing](###Testing)
- [Documentation](###Documentation)
- [Details](###Details)

### Introduction 
Creates a locally hosted dashboard which displays information about Covid-19\
It dashboard displays:
- The local 7 day infection rate
- The national 7 day infection rate
- The national hospital cases
- The national death count
- News articles collected from the Newsapi.org/
The dashboard allows for updates to be scheduled to refresh the data and the news articles

### Prerequisites
To use the dashboard you need to have these modules:
- python 3.9.7
- Logging
- Json
- Flask
    - Flask
    - Render template
    - Markup
- Sched
- Time
- Datetime
- Requests
- uk-covid19 (https://api.coronavirus.data.gov.uk/)
- News api ("https://newsapi.org/v2/everything")
- Pytest

### Installing
`pip install Covid-Dashboard-pkg-tsturgeon`

### Config File
In the config file there are many customisable fields to set and on necessary field\
The necessary is the API key for the news api, to get a key register for one at newsapi.org and then copy the key into the config file\
The customisable key can change:
- The title
- The locations
- The location type
- The images
- The news search terms
- The logging file
- The Static data file

### Running
Set the config file to what you desire.\
Navigate to where the package has been installed and run the module in the terminal \
Open a web browser and heat to 127.0.0.1:/5000/index (The link will also be in the logging file)\
From this page you can:\
- Schedule updates using the form in the lower middle of the page
- Remove updates and news articles
- Read the current statistics

### Testing
To test the modules it uses Pytest.\
To run the test navigate to the package in the terminal and run pytest

### Documentation
For the documentation go to https://github.com/Sturgeon2962/coursework/ \
The documentation is located in coursework/docs/build/html/index.html\
You can download it the launch it in a web browser to view the documentation\
This goes into greater deatial about how to configure the code and run it

### Details
Author: Tom Sturgeon\
License: MIT License
Link to source files: https://github.com/Sturgeon2962/coursework/ \
markdown-builder 0.1.2
Create Markdown from a Python program
Requires Python: >=3.8

# markdown-builder

`markdown-builder` is a minimalist package for creating [MarkDown](https://en.wikipedia.org/wiki/Markdown)
documents in a Python program.

It requires Python 3.

It grew out of a number of Python applications that needed similar functionality.
At present, it only supports the features required by those applications,
but I'm open to suggestions for additions.

The [DRY principle](https://en.wikipedia.org/wiki/Don%27t_repeat_yourself) 
led me to separate out the code into a separate package.

With `markdown-builder` you can build a Markdown document in a few lines
of Python code.

## Installation

`pip3 install markdown-builder.`

## Quickstart

The following Python program will generate [SAMPLE.md](SAMPLE.md)

```python
from markdown_builder.document import MarkdownDocument

md = MarkdownDocument()
md.append_heading('Welcome to MarkDown')
md.append_text('markdown-builder is really easy to use')
md.append_heading('This is a level2 heading', 2)
md.append_text_indented('This is inset', depth=1)
md.append_bullet('This is a top-level bullet point')
md.append_bullet('This is a lower level bullet point', depth=1)
```
cleanup-pypi 0.0.5
implementation of cleanup data
Requires Python: >=3.7

# cleanup_pypi

#Reference for creating python package
[official python page](https://packaging.python.org/tutorials/packaging-projects/)

#Reference URL
[URL helpful for creating python package](https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-nodejs-or-python?langId=py)



### This library has 3 functions:- 
``` 
1) replacing null values
2) standardization the column values 
3) finding the variance_inflation_factor value column wise
```
## Points to keep a note

    The base minimum parameter which it expects is either a numpy array or a DataFrame.

    The only things we need to keep in mind is make sure there is no column in date format if so once you have preprocessed it then use these functions.
    If any column has values in dataformat then it may give error.
    Also in case of a DataFrame kindly ensure the first column is target column or dependent column. Only then start using this function.


WHAT IS AN ISSUE??
criteo-api-retailmedia-v2021-10 2021.10.0.211209
Criteo API SDK
Requires Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <4
Keywords: Criteo,OpenAPI-Generator,Criteo API SDK

# Criteo API SDK for Python
[![](https://img.shields.io/pypi/pyversions/criteo-marketing.svg)](https://pypi.org/project/criteo-marketing-transition/)

IMPORTANT: This Python package links to Criteo production environment. Any test applied here will thus impact real data.

## Requirements.

Python 2.7 and 3.5+

## Installation & Usage
### pip install


```sh
pip install criteo_api_retailmedia_v2021_10
```
(you may need to run `pip` with root permission: `sudo pip install criteo_api_retailmedia_v2021_10`)

Then import the package:
```python
import criteo_api_retailmedia_v2021_10
```

Full documentation on [Github](https://github.com/criteo/criteo-api-python-sdk).

## Disclaimer

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE
WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
criteo-api-marketingsolutions-v2021-10 2021.10.0.211209
Criteo API SDK
Requires Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <4
Keywords: Criteo,OpenAPI-Generator,Criteo API SDK

# Criteo API SDK for Python
[![](https://img.shields.io/pypi/pyversions/criteo-marketing.svg)](https://pypi.org/project/criteo-marketing-transition/)

IMPORTANT: This Python package links to Criteo production environment. Any test applied here will thus impact real data.

## Requirements.

Python 2.7 and 3.5+

## Installation & Usage
### pip install


```sh
pip install criteo_api_marketingsolutions_v2021_10
```
(you may need to run `pip` with root permission: `sudo pip install criteo_api_marketingsolutions_v2021_10`)

Then import the package:
```python
import criteo_api_marketingsolutions_v2021_10
```

Full documentation on [Github](https://github.com/criteo/criteo-api-python-sdk).

## Disclaimer

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE
WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
KerasModelManager 0.0.10
A wrapper for Keras models
Requires Python: >=3.6

# ModelManager
Wrapper for keras models to ensure logging and reproducibility
```python
import keras
from keras.models import Sequential

from ModelManager import ModelManager

# Create some simple model
my_model = Sequential()
my_model.add(Dense(2, input_dim=1, activation='relu'))
my_model.add(Dense(1, activation='sigmoid'))
my_model.compile(optimizer=keras.optimizers.Adam(learning_rate=0.01), loss='categorical_crossentropy')

# Some data
x = [1, 2, 3, 4, 5]
y = [1, 2, 3, 4, 5]

mm = ModelManager("some/path", model=my_model, save_history=True, save_weights=True, save_model=True)

mm.fit(x=x, y=y, batch_size=1, epochs=3)
CommandLies-autodiff 0.0.1
Testing our autodiff package
Requires Python: >=3.6

# CS107/AC207 Final Project

#### Group Name: cs107-command-lies
#### Project Number: 29

#### Team:

| first name        | last name           | email  |
| ------------- |:-------------| :-----|
| Elizabeth      | Suitor | esuitor@g.harvard.edu |
| Lauryn | Wu | laurynwu@college.harvard.com |
| Emil | Ghitman Gilkes | emil_ghitmangilkes@g.harvard.edu |
| Robert | Roessler | robertroessler@g.harvard.edu |

[![Build Status](https://app.travis-ci.com/cs107-CommandLies/cs107-FinalProject.svg?token=PCytefEoEaifyEmDLt8H&branch=main)](https://app.travis-ci.com/cs107-CommandLies/cs107-FinalProject)

[![codecov](https://codecov.io/gh/cs107-CommandLies/cs107-FinalProject/branch/main/graph/badge.svg?token=7H4A0IZJD5)](https://codecov.io/gh/cs107-CommandLies/cs107-FinalProject)