semvec/pypi-packages huggingface dataset:
list-of-us-universities-with-state-code 0.0.2
The list of all top US universities along with their state codes, and basic retrieval functions
Requires Python: >=3.8

# Package: us_universities_with_state_codes

This package consists of the list of all top US universities along with their state codes, and basic retrieval functions in python.


## Usage/Examples

```python

from list_of_us_universities_with_state_code.main import get_universities

# This function will return the array of all the universities
get_universities()
```

```python

from list_of_us_universities_with_state_code.main import get_state_code_of_university

# This function will return the object -> university name as the key and state code as value
get_state_code_of_university("mit")

#Output:
{'Massachusetts Institute of Technology (MIT)': 'MA'}
```

```python

from list_of_us_universities_with_state_code.main import get_universities_by_state_code

# This function will return the array of all the universities in the given state code
get_universities_by_state_code("CA")

#Output:
{'Stanford': 'CA', 'California Institute of Technology (Caltech)': 'CA', 'University of California, Berkeley (UC Berkeley)': 'CA', 'University of California, Los Angeles (UCLA)': 'CA', ...}
```

## Tech Stack

**Library:** Python


## License

[MIT](https://choosealicense.com/licenses/mit/)
sqlalchemy-query-watch 0.0.1
Subscribe query log to SqlAlchemy event
Keywords: python, sqlalchemy, log

# sqlalchemy_query_watch
Additional query log for SqlAlchemy

- Query summary within a db connection
  - Statement count (`SELECT`, `UPDATE`, `INSERT`, `DELETE`)
  - DB IO count
    - Turn to `WARNING` log level when too many IO count within a connection
- Time used on every query
  - Turn to `ERROR` log level when query takes too long to execute
- Raw query (`DEBUG` log level)
- Query length and parameter on every query (with n+1 detection using this stats)
classification-models-3D 1.1.0
Set of models for classification of 3D volumes.

This repository contains 3D variants of popular classification CNN models like ResNets, DenseNets, VGG, etc for keras module. It also contains weights obtained by converting ImageNet weights from the same 2D models. Models work with keras 3 with different backends like Tensorflow, Torch and Jax.More details: https://github.com/ZFTurbo/classification_models_3D