semvec/pypi-packages huggingface dataset:
FPL-squad-selector 0.0.1
This package selects the best 15 players to choose when playing a wildcard on Fantasy premier league on any given week
Requires Python: >=3.6

# FPL squad selector

This package selects the best 15 players to choose when playing a wildcard on Fantasy premier league on any given week

  - Selects the best players by analyzing the data provided by the fantasy premier league API
  - creates a visualization of the selected players


### Installation

##### Using pip

You can install the package using pip by running the following:

```
pip install FPL-squad-selector
```
##### Download from source

Download the source code by cloning the [repository](https://github.com/abdul-gendy/FPL_team_selector). Install by navigating to the proper directory and running
```
python setup.py install
```
### Usage
##### import the package
```
import FPL_squad_selector
```
##### call the play_wildcard function
  - This function takes in one argument which is the formation that you want to be displayed during the selection visualization. It should be one of the following: 442, 433, 343, 352
```
FPL_squad_selector.play_wildcard(442)
```

### Sample Output

<img src="test/sample_outputs/Team1.PNG" alt="alt text" width="700" height="700">
itsi-models 0.0.3
Model Definitions for Splunk IT Service Intelligence
Requires Python: >=2.7

# Model Definitions for Splunk IT Service Intelligence

## Setup Virtualenv

```
python3 -m venv /path/to/new/virtual/environment

source /path/to/new/virtual/environment/bin/activate
```

## Install the Python package

This project uses TestPyPi while under these initial stages of development.

```
pip install --index-url https://test.pypi.org/simple itsi-models
```

## Building the distribution archive

Install the build dependencies:
```
pip install --upgrade setuptools wheel
```

### Generate the Python package

Run this command to generate the Python distribution archive:
```
make
```

### Upload to the Python Package Index

Install the dependencies required for uploading to the index:

```
pip install --upgrade twine
```

This project uses TestPyPi while under these initial stages of development.

```
make upload
```