From 70d04e82653120873f20efcce11b08034e446060 Mon Sep 17 00:00:00 2001
From: jackjls <24503619+jackjls@users.noreply.github.com>
Date: Mon, 28 Sep 2026 10:30:59 +0800
Subject: [PATCH] docs: recommend PyPI installation in README

---
 README.md    | 14 +++++++++++++-
 README_EN.md | 10 ++++++++--
 2 files changed, 21 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 5bd5fc5..cd174bc 100644
--- a/README.md
+++ b/README.md
@@ -41,7 +41,19 @@
 
 ### 2. 安装 SDK
 
-当前从 GitHub 源码安装：
+推荐通过 [PyPI](https://pypi.org/project/ftshare/) 安装（需要 Python 3.9 及以上）：
+
+```bash
+pip install ftshare
+```
+
+升级到最新版本：
+
+```bash
+pip install --upgrade ftshare
+```
+
+`pandas` 和 `requests` 等运行依赖会自动安装。如需本地开发，也可以从 GitHub 源码安装：
 
 ```bash
 git clone https://github.com/FTShare-Lab/FTShare-python-sdk.git
diff --git a/README_EN.md b/README_EN.md
index ce5b0df..8d60b4c 100644
--- a/README_EN.md
+++ b/README_EN.md
@@ -29,12 +29,18 @@ FTShare-python-sdk        # Python data access layer
 
 ## Installation
 
-Install from PyPI:
+Install from [PyPI](https://pypi.org/project/ftshare/) (Python 3.9 or later required):
 
 ```bash
 pip install ftshare
 ```
 
+Upgrade to the latest version:
+
+```bash
+pip install --upgrade ftshare
+```
+
 For local development, clone this repository and install it in editable mode with test dependencies:
 
 ```bash
@@ -69,7 +75,7 @@ The output is a pandas `DataFrame`. For example, the financial calendar endpoint
 Install the SDK first:
 
 ```bash
-pip install -e .
+pip install ftshare
 ```
 
 Then use it from any Python project: