semvec/pypi-packages huggingface dataset:
lotronexyz12-sdk 0.1.3
LOTR coding test
Requires Python: >=3.10.9

### Cast it into the fire!

Run `pip3 install lotronexyz12_sdk`

Import the SDK
`from  lotronexyz12_sdk import LOTR_SDK`

Examples
```
client = LOTR_SDK()

# query the movie endpoint
movie_endpoint = client.endpoint('movie')
```

```
# Fetch all movies
movies = movie_endpoint.fetch_all()
```

```
# Fetch all movies with OPTIONS
# limit -> int
# page -> int
# offset -> int
# sort -> str. 
    Sort by movie name -> "name:asc" or "name:desc"

# filter -> str
    - Less than, greater than or equal to.
    - Keys:  academyAwardWins, runtimeInMinutes, and budgetInMillions.
    - Example value: academyAwardWins>10&runtimeInMinutes>=160

movies = endpoint.fetch_all(
    options={
        'limit' : 5,
        #'page' : 2,
        #'offset' : 3,
        'sort' : 'name:asc',
    }, 
    filter = 'academyAwardWins>10&runtimeInMinutes>=160'
)
```

```
# Fetch a single movie
movies = endpoint.fetch_one(
    '5cd95395de30eff6ebccde5d',     # movie _id
    with_quotes=True,               # return quotes from movie, default is False
    
    options = {                     # Options similar to fetch_all
        'sort' : 'character:desc',  # Sort by movie name or character if with_quotes=True
        'limit' : 5
    }
)
```
INSTRUCTORAPI 0.1.4
A small package for processing D2L data
Requires Python: >=3.7

This repository has been created as a part of CMSE495: Experiential Learning in Data Science at Michigan Sate University. This course is the capstone for the data science major and provides the opportunity for students to work in teams on a sponsored project as a culmination of the skills they have learned. 

The sponsor for the D2L Instructor API project is Michigan State University. The goal of this project is to build a data analysis API for the learning management system to provide more intuitive, insightful, and accesible student performance data to researchers and instructors. 

Here is a link to our proposal presentation video for more information about our project! 
https://mediaspace.msu.edu/media/MSUD2LInstructorAPI-CMSE495_Proposal_Presentation_Video/1_8nkuh5ul


Here is a link to our closed loop presentation video for more information about our project! 
https://mediaspace.msu.edu/media/MSUD2LInstructorAPI-CMSE495_Closed-Loop_Presentation_Video/1_lirffq9v

Group Members:
Olivia Sheng Qiu <qiuolivi@msu.edu>
Pranay Rahul Pentaparthy <pentapar@msu.edu>
Erin Elizabeth Sawyer <sawyerer@msu.edu>
Jonah Masaki Wehner <wehnerjo@msu.edu>
Jiaye Xie <xiejiaye@msu.edu>

Go to the INSTALL.md for further instructions for the API.

MIT License

Copyright (c) 2023 Erin Sawyer, Olivia Qiu, Pranay Pentaparthy, Jonah Wehner. 

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

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.