semvec/pypi-packages huggingface dataset:
wocecolor 0.0.1
Color maps from the World Ocean Circulation Experiment translated to be used in Python
Requires Python: >=3.8

wocecolormap package

This package is intended to transfer the colormaps used in World Ocean Circulation Experiment (WOCE) to Python for use in data visualization. The code was created by Megan Siwak, and packaged by Emma Holtzman. All of this was conducted under the guidance of Dr. Rebecca Beadling at Temple University. This package was built for students working under Dr. Beadling to have access to these color palettes, but are availible for anyone to use. They were specifically created for use with WOCE data, but the color palettes can be applied elsewhere.
iab-tcf-bitarray 0.2.3
A Python implementation of the IAB consent strings (v1.1 and v2)
Requires Python: >=3.6

# iab-tcf

[![Build Status](https://travis-ci.org/gguridi/iab-tcf.svg?branch=master)](https://travis-ci.org/gguridi/iab-tcf)
[![codecov](https://codecov.io/gh/gguridi/iab-tcf/branch/master/graph/badge.svg)](https://codecov.io/gh/gguridi/iab-tcf)
[![Codacy Badge](https://app.codacy.com/project/badge/Grade/6e6a8a02a6b14c5998b29bbe06327c87)](https://www.codacy.com/gh/gguridi/iab-tcf/dashboard)
![Releasing](https://github.com/gguridi/iab-tcf/workflows/Releasing/badge.svg)
[![Documentation Status](https://readthedocs.org/projects/iab-tcf/badge/?version=latest)](https://iab-tcf.readthedocs.io/en/latest/?badge=latest)

A Python implementation of the IAB consent strings (v1.1 and v2)

## Installing

Install and update using pip:

```bash
pip install -U iab-tcf
```

## Documentation

[Documentation](https://iab-tcf.readthedocs.io/en/stable/) of this package can be
found at [readthedocs.io](https://iab-tcf.readthedocs.io/en/stable/).

To generate the documentation locally:

```bash
pip install sphinx sphinx_rtd_theme
cd docs/
sphinx-apidoc -f -o . ../iab_tcf/
make html
```

## A Simple Example

In order to decode a v1.1 or v2 consent string automatically we can do:

```python
from iab_tcf import decode

consent = decode("CO5VTlWO5VTlWH1AAAENAwCwAIAAAAAAAIAAAAoAAAAA.YAAAAAAAAAA")

print(consent.version) # prints 2
```

If we want to improve performance and we already know it's going to
be a v2 consent string we can do:

```python
from iab_tcf import decode_v2

consent = decode_v2("CO5VTlWO5VTlWH1AAAENAwCwAIAAAAAAAIAAAAoAAAAA.YAAAAAAAAAA")

print(consent.version) # prints 2
```

## Tests

In order to run the tests locally we can do:

```bash
pip install -r requirements-test.txt
pytest -v .
```

## Thanks

Many thanks to [LiveRamp/iabconsent](https://github.com/LiveRamp/iabconsent)
which greatly inspired this project, and forms the basis and internal logic.
streamlit-slides 0.7.8
A streamlit companion library to create a interactive reader for the content on a given folder
Requires Python: >=3.7

# streamlit_book

`streamlit_book` is a streamlit companion library, written in python+streamlit to create a interactive reader for the content on a given folder. It was developed on November 2021 during streamlit's hackathon - ended up being awarded one of the two best apps!

## Documentation

All the documentation is at [readthedocs](https://streamlit-book.readthedocs.io/en/latest).

## Demos

The list of all demos of the library for release 0.7.0. are:

* [Demo Methods](https://stbook-methods.streamlit.app/): differente activities and methods. 
* [Demo Multipaging](https://stbook-multipaging.streamlit.app/): Different multipaging options (native and stbook).

## Examples 

Some apps using the library are:

* [Happy Birds](https://notangrybirds.streamlit.app/) : A self contained example that mixes features of the library with a funny twist.
* [The (confusion) Matrix](https://confusion-matrix.streamlit.app/): Take the blue pill to learn all about the confusion matrix.
* [The Streamlitsaurus Rex](https://datasaurus.streamlit.app/): Will teach you to always visualize your data, and exhibits the mythical Datasaurus.

## How to use it

Install it:

```bash
pip install streamlit_book
```

There are [different ways to use it](https://streamlit-book.readthedocs.io/en/latest/config.html), but in short just add to `streamlit_app.py` the function that list the files to be read (and other properties):

```python
import streamlit as st
import streamlit_book as stb

# Streamlit page properties
st.set_page_config()

# Streamit book properties
stb.set_book_config(menu_title="streamlit_book",
                    menu_icon="lightbulb",
                    options=[
                            "What's new on v0.7.0?",
                            "Core Features",
                            ],
                    paths=[
                          "pages/00_whats_new.py", # single file
                          "pages/01 Multitest", # a folder
                          ],
                    icons=[
                          "code",
                          "robot",
                          ],
                    save_answers=True,
                    )
```


## Star History

[![Star History Chart](https://api.star-history.com/svg?repos=sebastiandres/streamlit_book&type=Date)](https://star-history.com/#sebastiandres/streamlit_book&Date)