semvec/pypi-packages huggingface dataset:
drf-crud 0.1.0
A Django REST Framework package for automatic CRUD generation.
Requires Python: >=3.7

# drf-crud

A lightweight package that provides reusable CRUD (Create, Read, Update, Delete) views, serializers, and utilities for Django REST Framework (DRF). 

Stop repeating the same boilerplate code in every project!

---

## ðŸš€ Features
- Auto-generated CRUD API endpoints with minimal configuration.
- Generic base serializers and views.
- Easy integration with existing DRF projects.
- Extensible for custom logic.

---

## ðŸ“¦ Installation
```bash
pip install drf-crud
weather-server-tao 0.1.1
Add your description here
Requires Python: >=3.10

# 环境安装
1. brew install --cask anaconda
2. 安装成功后，Mac系统的目录： /opt/homebrew/anaconda3/
3. conda init --all 初始化启动配置到所有终端，zsh、default

# 初始化开发环境
1. cd mcp-server 进入开放目录
2. conda create --name mcp-server python=3.10 创建python环境
3. conda activate mcp-server 激活python环境，变成 (mcp-server) liutao@TAO MCP-Server % 效果
4. pip install uv  安装 uv （python包管理器）
5. uv venv weather-server （创建天气MCP服务）， bin/activate weather-server（激活项目）,bin/deactivate weather-server(取消激活项目)
6. cd weather-server & uv init (初始化天气MCP服务项目)
7. uv build
panchanga-lib 0.1.0
A comprehensive library for panchanga calculations.
Requires Python: >=3.9

This is your project's main documentation, which will be displayed on PyPI and GitHub.

Markdown

# Panchanga Library

A simple, accurate, and easy-to-use Python library for Panchanga calculations.

## Dependencies

This library requires **pyswisseph**, a Python wrapper for the Swiss Ephemeris library. The core Swiss Ephemeris data files are also required.

## Installation

You can install `panchanga-lib` directly from PyPI using pip:

```bash
pip install panchanga-lib

To complete the setup, you must install the Swiss Ephemeris data files. On most Debian/Ubuntu-based systems, you can use:

Bash

sudo apt-get install libastro-swe-dev
For other operating systems, please refer to the pyswisseph documentation for instructions on how to set up the necessary ephemeris data.

Usage

from panchanga_lib import PanchangaEngine

# Create an instance for a specific location and timezone
# For example, Hyderabad, India
eng = PanchangaEngine(
    lat=17.3850, 
    lon=78.4867, 
    timezone="Asia/Kolkata", 
    masa_system="amanta"
)

# Get today's panchanga details
info = eng.get_now()

# Access the details
print(f"Today's Date and Time: {info.datetime}")
print(f"Weekday: {info.weekday_en}")
print(f"Tithi: {info.tithi_en} ({info.tithi_end_time})")
print(f"Nakshatra: {info.nakshatra_en} ({info.nakshatra_end_time})")


***

### 3. `panchanga-lib/src/panchanga_lib/__init__.py`
This file makes your directory a Python package and controls what is imported by default.

```python
from .panchanga import PanchangaEngine, PanchangaInfo