semvec/pypi-packages huggingface dataset:
mortalite-tablosu 0.1.0
Mortalite tablosu ve simulasyon hesapları
License: MIT
Requires Python: >=3.8

# Mortalite Hesapla
## Proje Geliştiricisi
Dilara Eslem Emelek
## Projenin Amacı ve Kapsamı
Mortalite tablosu yaş girdiginizde o yıl icin girdiginiz yaş dogrultusundaki ölme olasılıgının(qx), hayatta kalma olasılıgının(px), yaşayan kişi sayısının(lx), ölen kişi sayısının(dx), yaşam yılının(Dx), kalan toplam yaşam yılını(Nx), sağ kalma oranı(Sx), ölüm yoğunlugunu(Mx), ömür beklentisinin(Rx) bilgilerini ekrana vermektedir.
## Kurulum Ve Çalıştırma Adımları
Projenin kurulumu için paketi projeye dahil edin.

pip install mortalite_tablosu

Fonksiyonu kullanabilmek için dosyanıza import edin.

import mortalite_tablosu

## Örnek Kullanım

Fonksiyonu kullanın.

mortalite_tablosu.hesapla_mortalite_tablosu()

## Fonksiyonların Kısa Acıklaması

hesapla_mortalite_tablosu fonksiyonunu kullandığınızda kullanıcıdan bir yaş aralığı girmesi istenir. Girilen Yaş aralığına göre ise mortalite değerlerini hesaplayarak ekrana yazdırır.
apple-health-parser 1.1.5
Python package to parse, analyse, and plot Apple HealthKit data
License: MIT
Requires Python: <4.0,>=3.11

<div align="center">
    <img src="https://github.com/alxdrcirilo/apple-health-parser/blob/main/docs/assets/images/logo.png?raw=true" alt="logo" width=128 />

# Apple Health Parser

<img src="https://raw.githubusercontent.com/alxdrcirilo/apple-health-parser/main/docs/assets/images/header.png" alt="header" width=720 />

*Python package to parse, analyse, and plot Apple HealthKit data*

![pypi - version](https://img.shields.io/pypi/v/apple-health-parser)
[![coverage](https://coveralls.io/repos/github/alxdrcirilo/apple-health-parser/badge.svg?branch=main)](https://coveralls.io/github/alxdrcirilo/apple-health-parser?branch=main)
[![python version](https://img.shields.io/badge/python-3.11|3.12-blue)](https://www.python.org/)
[![poetry](https://img.shields.io/endpoint?url=https://python-poetry.org/badge/v0.json)](https://python-poetry.org/)
[![ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)
![pypi - downloads](https://img.shields.io/pypi/dm/apple-health-parser)
[![license](https://img.shields.io/badge/license-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

</div>

----

Source: [https://github.com/alxdrcirilo/apple-health-parser](https://github.com/alxdrcirilo/apple-health-parser) \
Documentation: [https://alxdrcirilo.dev/apple-health-parser](https://alxdrcirilo.dev/apple-health-parser)

----

The *Apple Health Parser* Python package simplifies the extraction and analysis of health data exported from [Apple HealthKit](https://developer.apple.com/documentation/healthkit). Designed for seamless integration into data science workflows and health analytics applications, this package offers robust parsing and plotting capabilities for various health metrics stored in the Apple Health export XML format.

In a nutshell, *Apple Health Parser* is capable of:

- Extraction and processing of health data from the Apple HealthKit (i.e. `export.zip`)
- Parsing and validation of health records
- Plotting (optionally interactive) health records
- Exporting plots and tables from the parsed health records

Additionally, it also comes with a CLI for the terminal geeks.

> [!WARNING]
> This package is still in **active development** and has not been tested on real data coming from different sources, nor has it been tested with data originating from versions of iOS < 17.
textfindreplace 0.1.0
Engine reutilizável de find/replace em texto puro
License: MIT
Requires Python: >=3.8

# textfindreplace

Biblioteca Python simples e reutilizável para operações de **find / replace**
em texto puro, com suporte a:

- case sensitive / insensitive
- regex opcional
- retorno estruturado de ocorrências

## Instalação (local)

```bash
pip install -e .
brewbar 1.2.2
A progress bar for Python that brews beer while your code runs
License: MIT
Requires Python: >=3.8
Keywords: beer, fun, progress, progress-bar, terminal

# 🍺 brewbar

A progress bar for Python that **brews beer while your code runs**

No configuration | No dependencies | CI-safe | Just beer

---

## 🍻 Demo
```python
from brewbar import bar
import time

for _ in bar(range(50)):
    time.sleep(0.05)
```

**Output:**
```
🍺🍺🍺🍺░░░░  50%  fermenting
```
![brewbar demo](https://raw.githubusercontent.com/Harish-SN/brewbar/main/images/demo.png)

As progress increases, the beer fills and the brew stage changes:

- mashing
- boiling
- fermenting
- conditioning
- cheers 🍻

## 📦 Installation
```bash
pip install brewbar
```

## 🍺 Usage
```python
from brewbar import bar
import time

for _ in bar(range(100)):
    time.sleep(0.1)
```

## ✨ Features

- 🍺 Beer-brewing themed progress bar
- 🧠 Simple API (`bar(iterable)`)
- ⚡ Lightweight (no dependencies)
- 🖥 Works in standard terminals
- 🤖 Auto-disables in CI / non-TTY environments

## What’s new in v1.2.2
### ETA & Speed
```
ETA 00:08  |  12.5 it/s
```
### ASCII mode (CI-safe)
```python
bar(range(100), ascii=True)
```
```
Output:
    ##########  100%  cheers 🍻
```
### Disable output completely
```python
bar(range(100), disable=True)
```
### Log to stderr
```python
bar(range(100), file=sys.stderr)
```
### Manual update mode
For non-iterable workflows:
```python
from brewbar import BrewBar
import time

with BrewBar(total=10, elapsed=True, rate=True) as b:
    for _ in range(10):
        time.sleep(0.2)
        b.update()
```
### Unknown total = spinner mode
```python
for _ in bar(iter(int, 1)):
    time.sleep(0.05)
```
```
Displays:
    ⠙ brewing...
```
### Nested progress bars
```python
for _ in bar(range(3), elapsed=True):
    for _ in bar(range(10), rate=True):
        ...
```
### Beer-color mode 🎨
```python
# default beer color (yellow)
bar(range(50), color=True)

# explicit colors
bar(range(50), color="red")
bar(range(50), color="green")
bar(range(50), color="blue")
bar(range(50), color="yellow")
```
## 🛠 Requirements

- Python 3.8+

## ❓ Why brewbar?

Because sometimes you don't want:
- ❌ giant APIs
- ❌ heavy deps
- ❌ walls of logs

You just want to know when your code is done…  
and have a beer while waiting. 🍻

## Example with timing options

```python
from brewbar import bar
import time

for _ in bar(
    range(200),
    eta=True,
    elapsed=True,
    rate=True,
    ascii=True,
):
    time.sleep(0.05)
```