fix: use venv+pip install in pandas course setup

`uv sync` fails in a standalone course folder (no pyproject.toml) and,
in a full clone, syncs the root project without the `dev` extra, so
pandas is never installed. Both data-analysis courses (EN+ZH docs and
the verify.py missing-dependency hint) now create a course-local
virtual environment and install requirements.txt with pip or uv pip.
Manifest regenerated for the changed course files.

Generated with [Devin](https://devin.ai)

Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

Author: xxg1413

content-manifest.json

@@ -610,15 +610,15 @@
           "lang": "en-US",
           "path": "courses/da-eda/COURSE.md",
           "title": "Exploratory Data Analysis with an Agent",
-          "summary": "A challenge course — point your agent at a messy shop export and produce a verified EDA summary (results.json) whose numbers are checked against ground truth. First non-stdlib course in the catalog; pandas is managed with uv.",
-          "sha256": "e50b0ca1ec8d3dcccfeb8a9597a31bf3a9b351a869be95c72495a9861ee0b224"
+          "summary": "A challenge course — point your agent at a messy shop export and produce a verified EDA summary (results.json) whose numbers are checked against ground truth. First non-stdlib course in the catalog; pandas is pinned in requirements.txt.",
+          "sha256": "412cd414e1ecafa7827772f1c4355c1d2be4e7f5da7cd52700bb88c5c782fa56"
         },
         {
           "lang": "zh-CN",
           "path": "courses/da-eda/COURSE_cn.md",
           "title": "用 Agent 做探索性数据分析",
-          "summary": "挑战式课程——让你的 Agent 处理一份脏的商店导出数据，产出一份经过真值校验的 EDA 摘要（results.json）。目录中第一门非标准库课程；pandas 由 uv 管理。",
-          "sha256": "83b2a03bbb124d95b81e3d537b8a6a89b0b7be4600e43e3585dbbc5b07af18c1"
+          "summary": "挑战式课程——让你的 Agent 处理一份脏的商店导出数据，产出一份经过真值校验的 EDA 摘要（results.json）。目录中第一门非标准库课程；pandas 版本固定在 requirements.txt。",
+          "sha256": "509913a62ecc46d0972b7572578f3f716c5cc98155734b19d4cb077c218780ac"
         }
       ]
     },
@@ -887,14 +887,14 @@
           "path": "courses/da-visualization/COURSE.md",
           "title": "Data Visualization with an Agent",
           "summary": "Challenge course — turn a clean sales dataset into three spec'd charts plus a summary.json whose numbers are verified against the data. Charts must be generated from data, never hardcoded.",
-          "sha256": "fe7a7d00197b676cff35f62b1f098b39501c529b8dff93f034f716e623cd467b"
+          "sha256": "fd71dfd018467977e3430e61d290dfaf23ca888177af62bf4d81ac80a51da909"
         },
         {
           "lang": "zh-CN",
           "path": "courses/da-visualization/COURSE_cn.md",
           "title": "用 Agent 做数据可视化",
           "summary": "挑战课程——把干净的销售数据变成三张有规格的图和一份 summary.json，其中数字会与数据集校验。图必须由数据生成，不许硬编码。",
-          "sha256": "d4e4447b9f31c9c31936b94cc0985e9f37e36090da3c562dd6450dbf1147c7f8"
+          "sha256": "c67db40a964dbca98e46d61d6dbe5fb9bd4aa557bb49d9bb4af24e509e1281f5"
         }
       ]
     },

courses/da-eda/COURSE.md

@@ -2,7 +2,7 @@
 id: course-da-eda
 type: course
 title: Exploratory Data Analysis with an Agent
-summary: A challenge course — point your agent at a messy shop export and produce a verified EDA summary (results.json) whose numbers are checked against ground truth. First non-stdlib course in the catalog; pandas is managed with uv.
+summary: A challenge course — point your agent at a messy shop export and produce a verified EDA summary (results.json) whose numbers are checked against ground truth. First non-stdlib course in the catalog; pandas is pinned in requirements.txt.
 lang: en-US
 content_version: 1
 status: reviewed
@@ -37,7 +37,9 @@ This is the first course in the catalog that leaves the standard library:
 
 ```bash
 cd courses/da-eda
-uv sync            # or: pip install -r requirements.txt
+python -m venv .venv               # or: uv venv
+source .venv/bin/activate          # Windows: .venv\Scripts\activate
+pip install -r requirements.txt    # or: uv pip install -r requirements.txt
 ```
 
 `verify.py` checks for pandas and prints this hint if it is missing.

courses/da-eda/COURSE_cn.md

@@ -2,7 +2,7 @@
 id: course-da-eda
 type: course
 title: 用 Agent 做探索性数据分析
-summary: 挑战式课程——让你的 Agent 处理一份脏的商店导出数据，产出一份经过真值校验的 EDA 摘要（results.json）。目录中第一门非标准库课程；pandas 由 uv 管理。
+summary: 挑战式课程——让你的 Agent 处理一份脏的商店导出数据，产出一份经过真值校验的 EDA 摘要（results.json）。目录中第一门非标准库课程；pandas 版本固定在 requirements.txt。
 lang: zh-CN
 content_version: 1
 status: reviewed
@@ -35,7 +35,9 @@ course_id: course-da-eda
 
 ```bash
 cd courses/da-eda
-uv sync            # 或：pip install -r requirements.txt
+python -m venv .venv               # 或：uv venv
+source .venv/bin/activate          # Windows：.venv\Scripts\activate
+pip install -r requirements.txt    # 或：uv pip install -r requirements.txt
 ```
 
 `verify.py` 会检查 pandas，缺失时打印这条提示。

courses/da-eda/verify.py

@@ -7,8 +7,9 @@
 that the failing tests are the intended ones. ``progress`` prints the
 checkpoint claim codes for recording on flypython.com.
 
-Dependencies (pandas) are managed with uv — run ``uv sync`` (or
-``pip install -r requirements.txt``) inside this folder first.
+Dependencies (pandas) are pinned in requirements.txt — install them into a
+virtual environment inside this folder first (``python -m venv .venv``,
+activate it, then ``pip install -r requirements.txt``).
 """
 
 from __future__ import annotations
@@ -71,8 +72,9 @@ def _deps_available():
 
 def _deps_hint():
     print(
-        "pandas is not installed. Run `uv sync` (or "
-        "`pip install -r requirements.txt`) inside this course folder first.",
+        "pandas is not installed. In this course folder, create and activate "
+        "a virtual environment, then run `pip install -r requirements.txt` "
+        "(or `uv pip install -r requirements.txt`).",
         file=sys.stderr,
     )
 

courses/da-visualization/COURSE.md

@@ -33,7 +33,9 @@ A matplotlib script that produces `out/revenue_by_region.png`,
 
 ```bash
 cd courses/da-visualization
-uv sync            # pandas + matplotlib (or: pip install -r requirements.txt)
+python -m venv .venv               # or: uv venv
+source .venv/bin/activate          # Windows: .venv\Scripts\activate
+pip install -r requirements.txt    # pandas + matplotlib (or: uv pip install -r requirements.txt)
 ```
 
 ## Challenges (checkpoints)

courses/da-visualization/COURSE_cn.md

@@ -32,7 +32,9 @@ course_id: course-da-visualization
 
 ```bash
 cd courses/da-visualization
-uv sync            # pandas + matplotlib（或 pip install -r requirements.txt）
+python -m venv .venv               # 或：uv venv
+source .venv/bin/activate          # Windows：.venv\Scripts\activate
+pip install -r requirements.txt    # pandas + matplotlib（或 uv pip install -r requirements.txt）
 ```
 
 ## 挑战（检查点）

courses/da-visualization/verify.py

@@ -3,8 +3,8 @@
 
 Objective completion evidence for "Data visualization" (da-visualization).
 ``progress`` prints checkpoint claim codes for recording on flypython.com.
-Dependencies (pandas, matplotlib) managed with uv — run ``uv sync`` inside
-this folder first.
+Dependencies (pandas, matplotlib) are pinned in requirements.txt — install
+them into a virtual environment inside this folder first.
 """
 
 from __future__ import annotations
@@ -60,8 +60,9 @@ def _deps_available():
 
 def _deps_hint():
     print(
-        "pandas/matplotlib not installed. Run `uv sync` (or "
-        "`pip install -r requirements.txt`) inside this course folder first.",
+        "pandas/matplotlib not installed. In this course folder, create and "
+        "activate a virtual environment, then run `pip install -r "
+        "requirements.txt` (or `uv pip install -r requirements.txt`).",
         file=sys.stderr,
     )