# python_lib_template

**Repository Path**: jecjune/python_lib_template

## Basic Information

- **Project Name**: python_lib_template
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-03-20
- **Last Updated**: 2025-03-21

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Python Lib Template Package
This is a simple package for how to create python lib.The documentation address：https://packaging.python.org/en/latest/tutorials/packaging-projects/

# Build Python Library
建议先更新到最新的pip版本：
```
python3 -m pip install --upgrade pip
```
安装编译依赖：
```
python3 -m pip install --upgrade build
```
然后在该项目的根目录执行编译：
```
python3 -m build
```
一旦完成，应在`dict`目录下生成两个文件：
```
dist/
├── example_package_YOUR_USERNAME_HERE-0.0.1-py3-none-any.whl
└── example_package_YOUR_USERNAME_HERE-0.0.1.tar.gz
```
这里生成的两个文件就是可供pip直接进行安装操作的python包。

# Installation
If you don't have your python environment yat and want the simplest way to get started, we recommend you use the Anaconda Distribution - it includes Python, NumPy, and many other commonly used packages for scientific computing and data science.

# Details
...