semvec/pypi-packages huggingface dataset:
linestar-scrape 1.0.9
A package to scrape linestarapp.com daily fantasy sports ownership data

## Linestar Scrape

### Goals
**The goal of this project is to provide a person with a standardized format for getting linestar ownership data so that it can be used for better understanding daily fantasy competitions**

Example:
https://www.linestarapp.com/Ownership/Sport/NBA/Site/FanDuel/PID/420

In order to scrape this page, lots of tedious work would have to be done in order to pull data from this site that could only be used for a specific use case. Why not make a package that can be used by everyone? This page contains valueable information to fantasy players and can be used for many DFS data science applications.

### Installation
`pip install linestar-scrape`
* Be sure to update often to get the latest mapping from human datetime to linestar date id

### Methods
`fanduel_nba_own_date(date)`

Inputs:
* Python datetime

Output: Linestar Page Data Object containing Linestar Data For That Date

`fanduel_nba_own_date_range(date1, date2)`

Inputs:
* date1 = Python datetime for first date
* date2 = Python datetime for second date

Output: Linestar Map with Date String (YYYY-MM-DD) being the key and a Linestar Page Data Object being a value for inclusive range of dates

### Linestar Objects
**Linestar Page Data**

Object Name: LinestarPageData

Members
* date
* competitions (array of LinestarCompeition)
* url (link to url scraped)

**Linestar Competitions**

Object Name: LinestarCompeition

Members
* name (competition name)
* id (competition id)
* games (number of games for competition)
* gpp (True if GPP Competition)
* doubleUp (True if Double Up Competition)
* players (Array of LinestarPlayerObject)

**Linestar Players**

Object Name: LinestarPlayerObject

Members
* id (player id)
* name (player name)
* owned (percent owned, in float format (ie: 78.2))
* pos (position)
* team 
* sal (salary)


### Examples
`import linestar`

`single_data = linestar.standard.fanduel_nba_own_date(datetime(2019, 2, 10))`

`range_data = linestar.standard.fanduel_nba_own_date(datetime(2019, 2, 5), datetime(2019, 2, 10))`
django-minimal-user 0.9.2
Bare minimum user model for Django
Requires Python: >=3.5

# django-minimal-user - Minimum User model for Django

Contains a User implementation without the cruft

There are two primary uses:

* Use `minimal_user`.User directly
* Inherit from `minimal_user.AbstractUser` to create a User model with only
  the fields necessary for your project.

If using the serializers from `minimal_user.drf` ensure this project is
installed with the `drf` extras. (e.g. `django-minimal-user[drf]`).
matlab-connection 0.0.4
Package to streamline reading from and writing data to MATLAB from python
Keywords: MATLAB,python

# matlab_connection

### this package is designed to streamline reading from and writing data to MATLAB from python

### _Purpose_:<br>
The matlab.engine library from Mathworks is impressive in that it allows python to connect to a MATLAB session, but can become a little long winded when interacting with numpy and calling functions.
<br><br>
The **matlab_connection** module contains a class that allows get and put variables, as well as call functions and run m-files in a straightforward, extensible manner.

### _Features_:<br>
- get matlab variables into python
- put python variables into MATLAB
- run an script (not as a function) from python
- call a MATLAB function from python

### _Installation_:<br>
- following pip installation, move the files **function_from_python.m** and **script_from_python.m** from the installation directory (ususally PYTHONPATH\Lib\site-packages\matlab_connection) into your MATLAB search path