chore: update pypi badge

README.md

@@ -2,7 +2,7 @@
 
 ![image](https://user-images.githubusercontent.com/1651790/221876073-61ef4edb-adcd-4f10-b3fc-8ddc24918ea1.png)
 
-[![pdm-managed](https://img.shields.io/badge/pdm-managed-blueviolet)](https://pdm.fming.dev) [![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](LICENSE) [![Python](https://img.shields.io/badge/python-3.6%2B-blue.svg)](https://www.python.org/downloads/release/python-360/) [![PyPI version](https://badge.fury.io/py/ngdi.svg)](https://badge.fury.io/py/ngdi)
+[![pdm-managed](https://img.shields.io/badge/pdm-managed-blueviolet)](https://pdm.fming.dev) [![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](LICENSE) [![PyPI version](https://badge.fury.io/py/ngdi.svg)](https://badge.fury.io/py/ngdi) [![Python](https://img.shields.io/badge/python-3.6%2B-blue.svg)](https://www.python.org/downloads/release/python-360/)
 
 NebulaGraph Data Intelligence Suite for Python (ngdi) is a powerful Python library that offers a range of APIs for data scientists to effectively read, write, analyze, and compute data in NebulaGraph. This library allows data scientists to perform these operations on a single machine using NetworkX, or in a distributed computing environment using Spark, in unified and intuitive API. With ngdi, data scientists can easily access and process data in NebulaGraph, enabling them to perform advanced analytics and gain valuable insights.