semvec/pypi-packages huggingface dataset:
uHTTP-Session 0.1.2
Session support for µHTTP
License: MIT
Requires Python: >=3.9,<4.0

# µHTTP Session

Session support for µHTTP

Sessions are implemented as [Javascript Web Signatures](https://datatracker.ietf.org/doc/html/rfc7515). Which means that:

1. Sessions are stored in the client's browser.
2. Sessions are not secret.
3. Sessions cannot be tempered with.

### Installation

µHTTP Session is on [PyPI](https://pypi.org/project/uhttp-session/).

```bash
pip install uhttp-session
```

### Usage

First, you must set the secret key as an environment variable:

```bash
export APP_SECRET='<your secret key goes here>'
```

Don't have one?

```bash
python -c 'import secrets; print(secrets.token_hex())'
```

Then:

```python
from uhttp import App
from uhttp_session import app as session_app

app = App()
app.mount(session_app)

@app.post('/login')
def login(request):
    request.state['session']['user'] = request.form.get('user', 'john')


@app.get('/'):
def account(request):
    if 'user' not in request.state['session']:
        return 401
    else:
        return f'Hello, {request.state["session"]["user"]}!'
```

### License

Released under the MIT license.
puZC 0.0.111111
This Python package, PubChemAPI, simplifies the interaction with the PubChem database, allowing users to seamlessly retrieve information related to compounds, substances, assays, proteins, genes, and more. Whether you're a researcher, scientist, or developer, this package provides an easy-to-use interface to access a wealth of information stored in PubChem.
License: MIT
Keywords: cheminformatics

This is file project for molecular informatics class at CU Denver.

Change Log
==========

0.0.1 (22/10/2022)
-------------------
- First Release
pystatslib 0.1.0
Python Statistics and Probability library
License: MIT

# PyStatslib

### Authors: Michael Dobo, Michael Gannon, Maia Bolko, Nicole Messina 

This python library is made up of 4 distinct classes: integration methods, 
continuous probability density functions, discrete probability density functions, 
and linear regression models. The library is designed to help students determine
the probability of any type of event using probability density functions.


### Installation Instructions:

In order to use the PyStatsLib, simply just type this command in your command prompt:

```
pip install pystatslib
```

Make sure that you have updated python, pip, and all necessary libraries to have the library download.