semvec/pypi-packages huggingface dataset:
flask-nav3 0.7.2
Easily create navigation for Flask applications.
License: MIT
Requires Python: >=3.8.1,<4.0

# Flask-Nav3

[![Build Status](https://github.com/wtfo-guru/Flask-Nav3/workflows/Flask-Nav3/badge.svg?branch=main&event=push)](https://github.com/wtfo-guru/Flask-Nav3/actions?query=workflow%3AFlask-Nav3)
[![codecov](https://codecov.io/gh/wtfo-guru/Flask-Nav3/branch/main/graph/badge.svg)](https://codecov.io/gh/wtfo-guru/Flask-Nav3)
[![Python Version](https://img.shields.io/pypi/pyversions/Flask-Nav3.svg)](https://pypi.org/project/Flask-Nav3/)
[![wemake-python-styleguide](https://img.shields.io/badge/style-wemake-000000.svg)](https://github.com/wemake-services/wemake-python-styleguide)

Flask-Nav3 is a fork of [Flask-Nav](https://github.com/mbr/flask-nav) which seems to be unmaintained.

I was using Flask-Nav in several personal projects, when I started seeing deprecation notices, therefore I decided to fork the project and hopefully maintain this fork. Although I don't believe the changes I have made affect backwards compatibility, I am only testing on python 3.7 through 3.11 at this time.

I have also attempted to make the source compatible with [wemake-python-styleguide]](https://github.com/wemake-services/wemake-python-styleguide).

[Original Flask-Nav README](https://github.com/wtfo-guru/Flask-Nav3/README-Flask-Nav.rst)
custom-st-ydata-profiling 0.1.0
Custom YData Profiling component for Streamlit.
License: MIT
Requires Python: >=3.7

# custom_st_ydata_profiling
This is a slightly tweaked version of the `streamlit-pandas-profiling` component but with the latest dependencies. I've created this for my another ongoing project whose dependencies kept on clashing with the [streamlit-pandas-profiling](https://github.com/arpy8/custom_st_ydata_profiling) package by [okld](https://github.com/okld).


[![GitHub][github_badge]][github_link] [![PyPI][pypi_badge]][pypi_link] 

## Installation

```sh
pip install custom_st_ydata_profiling
```

## Getting started

```python
import pandas as pd
from custom_st_ydata_profiling import display_profile_report
import streamlit as st

from streamlit_pandas_profiling import st_profile_report

df = pd.read_csv("https://storage.googleapis.com/tf-datasets/titanic/train.csv")
display_profile_report(df)
```

[github_badge]: https://badgen.net/badge/icon/GitHub?icon=github&color=black&label
[github_link]: https://github.com/arpy8/custom_st_ydata_profiling

[pypi_badge]: https://badgen.net/pypi/v/custom_st_ydata_profiling?icon=pypi&color=black&label
[pypi_link]: https://pypi.org/project/custom_st_ydata_profiling
algo-fun-fibonacci 0.1.0
Give the fibonacci sequence up and including a given number
License: MIT

# 🚀Fibonacci

## 📄Description

This is a project to give the fibonacci sequence up to
and including given number.

## ⚙️ Installation

clone the repository (git must be installed)
```
git clone https://gitlab.com/ChristopheLagaillarde/algo_fun_fibonacci.git 
```
or you can install it using pip

```
pip install algo-fun-fibonacci 
```

or take the gz file on gitlab and use this command

```
tar -xzf alogo_fun_fibonacci-0.1.0.tar.gz
```

## ✅Verification

You can have my public key on here: 
https://keyserver.ubuntu.com/pks/lookup?search=309F4D460B9BF1BD8DD31EAB39A61CA659ADD6E3&fingerprint=on&op=index

Take it and to verify that the integrity and authenticity of my project. You should be able to use this command to do so. 

```
gpg --verify algo_fun_fibonacci-0.1.0.tar.gz.asc algo_fun_fibonacci-0.1.0.tar.gz
```

## 🕹️Usage

You have to import it using this command

```
from algo_fun.fibonacciup_to import fibonacci_up_to
```

You can use the function as follow

```
fibonacci_up_to(1000)
```

## 📝LICENSE
Copyright (c) 2024 Christophe Lagaillarde 

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.
python_algorithms_adrianfr 0.1.0
A project with simple Python algorithms
License: MIT
Requires Python: >=3.12,<4.0


# Selected algorithms implementation in Python

## Table of Content

* [Algorithms on integers](#algorithms-on-integers)
* [Sorting algorithms](#sorting-algorithms)
* [Numerical algorithms](#numerical-algorithms)
* [String algorithms](#string-algorithms)
* [Ciphers](#ciphers)
* [Geometric properties algorithms](#geometric-properties-algorithms)


## Algorithms on integers
#### Euclidean algorithm
#### Fibonacci algorithm
#### Is number prime
#### Is number perfect
#### Number decomposition
#### Number system conversion

[Detailed description of integer algorithms here](algorithms/integers/README.md)

## Sorting algorithms
#### Bubble sort
#### Quick sort
#### Binary sort
#### Insertion sort
#### Selection sort

[Detailed description of sorting algorithms here](algorithms/sorting/README.md)
    
## Numerical algorithms
#### Bisection root finding
#### Horner algorithm
#### Fast exponentiation
#### Trapezoid integration
#### Rectangular integration
#### Square root

[Detailed description of numerical algorithms here](algorithms/numerical/README.md)

## String algorithms
#### Is string palindrome
#### Is string anagram
#### Lexicographical sorting
#### Pattern finding

[Detailed description of string algorithms here](algorithms/strings/README.md)

## Ciphers
#### Caesar cipher
#### Morse code cipher
#### Swap cipher

[Detailed description of cipher algorithms here](algorithms/ciphers/README.md)

## Geometric properties algorithms
#### Triangle properties
#### Point position
#### Is point on segment

[Detailed description of geometric properties algorithms here](algorithms/geometric_properties/README.md)