| Name | lineup-optimizer JSON |
| Version |
0.0.3
JSON |
| download |
| home_page | |
| Summary | A Python package for optimizing and generating DFS lineups. |
| upload_time | 2023-09-13 23:01:14 |
| maintainer | |
| docs_url | None |
| author | Nolan Roth |
| requires_python | >=3.7 |
| license | |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
|
# DFSLineupOptimizer [](https://app.circleci.com/pipelines/github/n-roth12/DFSLineupOptimizer) [](https://badge.fury.io/py/lineup-optimizer)
A Python project for generating NFL daily fantasy contest lineups.
### Installation
#### As Package
To install and use as a Python package:
```
python3 -m pip install lineup-optimizer
```
#### Repo
Clone the repository onto your machine to get started. Ensure you have Python and pip installed, then set up the virtual environment using:
```
pipenv install -r "requirements.txt"
pipenv shell
```
This project currently only uses built-in Python modules, so this step is actually not required.
### Usage
To generate an optimized lineup for a chosen DFS contest, go to the contest webpage and download the players list as a CSV, an option on almost all DFS sites. Then, place the CSV file into the root directory of the project. The examples below will use the name 'DKSalaries_example.csv' as a placeholder for one such CSV file.
You can choose to generate lineups from the command line, or from within a Python script:
#### Import Package
```
from lineup_optimizer import optimize_lineup
lineup = optimize_lineup('DRAFTKINGS', 'DKSalaries_example.csv')
print(lineup)
```
#### Command Line
```
python optimize.py DRAFTKINGS DKSalaries_example.csv
```
These will output the lineup to the console.
### About
Lineups are able to be generated following certain constraints called "Tags". In addition, TagsController can confirm whether a given Lineup conforms
to the rules of specific tags, as well as output the list of Tags that the Lineup conforms to. Examples of such Tags are: "Stack: 4x2",
"Build: 3 RB", "Punt: TE".
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"description": "# DFSLineupOptimizer [](https://app.circleci.com/pipelines/github/n-roth12/DFSLineupOptimizer) [](https://badge.fury.io/py/lineup-optimizer)\nA Python project for generating NFL daily fantasy contest lineups. \n\n### Installation\n#### As Package\nTo install and use as a Python package:\n```\npython3 -m pip install lineup-optimizer\n```\n#### Repo\nClone the repository onto your machine to get started. Ensure you have Python and pip installed, then set up the virtual environment using:\n```\npipenv install -r \"requirements.txt\"\npipenv shell\n```\nThis project currently only uses built-in Python modules, so this step is actually not required.\n### Usage\nTo generate an optimized lineup for a chosen DFS contest, go to the contest webpage and download the players list as a CSV, an option on almost all DFS sites. Then, place the CSV file into the root directory of the project. The examples below will use the name 'DKSalaries_example.csv' as a placeholder for one such CSV file.\nYou can choose to generate lineups from the command line, or from within a Python script:\n#### Import Package\n```\nfrom lineup_optimizer import optimize_lineup\n\nlineup = optimize_lineup('DRAFTKINGS', 'DKSalaries_example.csv')\nprint(lineup)\n```\n#### Command Line\n```\npython optimize.py DRAFTKINGS DKSalaries_example.csv\n```\nThese will output the lineup to the console.\n### About \nLineups are able to be generated following certain constraints called \"Tags\". In addition, TagsController can confirm whether a given Lineup conforms \nto the rules of specific tags, as well as output the list of Tags that the Lineup conforms to. Examples of such Tags are: \"Stack: 4x2\", \n\"Build: 3 RB\", \"Punt: TE\".\n",
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