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# 疑難排解指南
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本指南提供了解決在使用《初學者的數據科學》課程時可能遇到的常見問題的方法。
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## 目錄
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- [Python 和 Jupyter 問題](../..)
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- [套件和依賴問題](../..)
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- [Jupyter Notebook 問題](../..)
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- [測驗應用程式問題](../..)
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- [Git 和 GitHub 問題](../..)
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- [Docsify 文件問題](../..)
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- [數據和檔案問題](../..)
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- [效能問題](../..)
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- [獲取額外幫助](../..)
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## Python 和 Jupyter 問題
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### 找不到 Python 或版本錯誤
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**問題：** `python: command not found` 或 Python 版本錯誤
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**解決方法：**
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```bash
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# Check Python version
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python --version
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python3 --version
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# If Python 3 is installed as 'python3', create an alias
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# On macOS/Linux, add to ~/.bashrc or ~/.zshrc:
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alias python=python3
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alias pip=pip3
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# Or use python3 explicitly
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python3 -m pip install jupyter
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```
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**Windows 解決方法：**
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1. 從 [python.org](https://www.python.org/) 重新安裝 Python
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2. 安裝過程中勾選 "Add Python to PATH"
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3. 重新啟動終端機/命令提示符
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### 虛擬環境啟動問題
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**問題：** 虛擬環境無法啟動
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**解決方法：**
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**Windows：**
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```bash
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# If you get execution policy error
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Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser
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# Then activate
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venv\Scripts\activate
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```
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**macOS/Linux：**
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```bash
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# Ensure the activate script is executable
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chmod +x venv/bin/activate
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# Then activate
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source venv/bin/activate
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```
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**驗證啟動：**
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```bash
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# Your prompt should show (venv)
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# Check Python location
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which python # Should point to venv
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```
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### Jupyter 核心問題
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**問題：** "Kernel not found" 或 "Kernel keeps dying"
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**解決方法：**
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```bash
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# Reinstall kernel
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python -m ipykernel install --user --name=datascience --display-name="Python (Data Science)"
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# Or use the default kernel
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python -m ipykernel install --user
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# Restart Jupyter
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jupyter notebook
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```
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**問題：** Jupyter 中的 Python 版本錯誤
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**解決方法：**
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```bash
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# Install Jupyter in your virtual environment
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source venv/bin/activate # Activate first
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pip install jupyter ipykernel
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# Register the kernel
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python -m ipykernel install --user --name=venv --display-name="Python (venv)"
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# In Jupyter, select Kernel -> Change kernel -> Python (venv)
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```
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## 套件和依賴問題
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### 匯入錯誤
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**問題：** `ModuleNotFoundError: No module named 'pandas'`（或其他套件）
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**解決方法：**
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```bash
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# Ensure virtual environment is activated
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source venv/bin/activate # macOS/Linux
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venv\Scripts\activate # Windows
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# Install missing package
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pip install pandas
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# Install all common packages
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pip install jupyter pandas numpy matplotlib seaborn scikit-learn
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# Verify installation
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python -c "import pandas; print(pandas.__version__)"
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```
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### Pip 安裝失敗
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**問題：** `pip install` 因權限錯誤而失敗
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**解決方法：**
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```bash
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# Use --user flag
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pip install --user package-name
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# Or use virtual environment (recommended)
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python -m venv venv
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source venv/bin/activate
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pip install package-name
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```
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**問題：** `pip install` 因 SSL 憑證錯誤而失敗
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**解決方法：**
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```bash
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# Update pip first
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python -m pip install --upgrade pip
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# Try installing with trusted host (temporary workaround)
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pip install --trusted-host pypi.org --trusted-host files.pythonhosted.org package-name
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```
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### 套件版本衝突
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**問題：** 套件版本不兼容
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**解決方法：**
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```bash
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# Create fresh virtual environment
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python -m venv venv-new
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source venv-new/bin/activate # or venv-new\Scripts\activate on Windows
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# Install packages with specific versions if needed
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pip install pandas==1.3.0
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pip install numpy==1.21.0
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# Or let pip resolve dependencies
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pip install jupyter pandas numpy matplotlib seaborn scikit-learn
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```
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## Jupyter Notebook 問題
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### Jupyter 無法啟動
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**問題：** `jupyter notebook` 命令未找到
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**解決方法：**
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```bash
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# Install Jupyter
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pip install jupyter
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# Or use python -m
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python -m jupyter notebook
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# Add to PATH if needed (macOS/Linux)
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export PATH="$HOME/.local/bin:$PATH"
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```
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### Notebook 無法載入或儲存
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**問題：** "Notebook failed to load" 或儲存錯誤
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**解決方法：**
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1. 檢查檔案權限
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```bash
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# Make sure you have write permissions
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ls -l notebook.ipynb
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chmod 644 notebook.ipynb # If needed
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```
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2. 檢查檔案是否損壞
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```bash
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# Try opening in text editor to check JSON structure
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# Copy content to new notebook if corrupted
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```
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3. 清除 Jupyter 快取
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```bash
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jupyter notebook --clear-cache
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```
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### 程式碼單元無法執行
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**問題：** 程式碼單元卡在 "In [*]" 或執行時間過長
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**解決方法：**
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1. **中斷核心**：點擊 "Interrupt" 按鈕或按 `I, I`
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2. **重新啟動核心**：核心選單 → Restart
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3. **檢查程式碼中的無限迴圈**
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4. **清除輸出**：Cell → All Output → Clear
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### 圖表無法顯示
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**問題：** `matplotlib` 圖表未在 Notebook 中顯示
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**解決方法：**
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```python
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# Add magic command at the top of notebook
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%matplotlib inline
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import matplotlib.pyplot as plt
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# Create plot
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plt.plot([1, 2, 3, 4])
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plt.show() # Make sure to call show()
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```
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**互動式圖表的替代方法：**
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```python
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%matplotlib notebook
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# Or
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%matplotlib widget
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```
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## 測驗應用程式問題
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### npm install 失敗
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**問題：** 執行 `npm install` 時出現錯誤
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**解決方法：**
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```bash
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# Clear npm cache
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npm cache clean --force
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# Remove node_modules and package-lock.json
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rm -rf node_modules package-lock.json
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# Reinstall
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npm install
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# If still failing, try with legacy peer deps
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npm install --legacy-peer-deps
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```
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### 測驗應用程式無法啟動
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**問題：** `npm run serve` 執行失敗
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**解決方法：**
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```bash
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# Check Node.js version
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node --version # Should be 12.x or higher
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# Reinstall dependencies
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cd quiz-app
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rm -rf node_modules package-lock.json
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npm install
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# Try different port
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npm run serve -- --port 8081
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```
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### 埠已被佔用
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**問題：** "Port 8080 is already in use"
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**解決方法：**
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```bash
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# Find and kill process on port 8080
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# macOS/Linux:
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lsof -ti:8080 | xargs kill -9
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# Windows:
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netstat -ano | findstr :8080
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taskkill /PID <PID> /F
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# Or use a different port
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npm run serve -- --port 8081
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```
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### 測驗無法載入或顯示空白頁面
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**問題：** 測驗應用程式載入但顯示空白頁面
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**解決方法：**
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1. 檢查瀏覽器主控台中的錯誤（按 F12）
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2. 清除瀏覽器快取和 Cookie
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3. 嘗試使用其他瀏覽器
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4. 確保 JavaScript 已啟用
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5. 檢查是否有廣告攔截器干擾
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```bash
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# Rebuild the app
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npm run build
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npm run serve
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```
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## Git 和 GitHub 問題
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### Git 未被識別
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**問題：** `git: command not found`
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**解決方法：**
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**Windows：**
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- 從 [git-scm.com](https://git-scm.com/) 安裝 Git
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- 安裝後重新啟動終端機
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**macOS：**
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> **注意：** 如果尚未安裝 Homebrew，請先按照 [https://brew.sh/](https://brew.sh/) 的指示進行安裝。
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```bash
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# Install via Homebrew
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brew install git
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# Or install Xcode Command Line Tools
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xcode-select --install
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```
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**Linux：**
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```bash
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sudo apt-get install git # Debian/Ubuntu
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sudo dnf install git # Fedora
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```
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### Clone 失敗
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**問題：** `git clone` 因身份驗證錯誤而失敗
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**解決方法：**
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```bash
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# Use HTTPS URL
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git clone https://github.com/microsoft/Data-Science-For-Beginners.git
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# If you have 2FA enabled on GitHub, use Personal Access Token
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# Create token at: https://github.com/settings/tokens
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# Use token as password when prompted
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```
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### 權限被拒絕（publickey）
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**問題：** SSH 金鑰身份驗證失敗
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**解決方法：**
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```bash
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# Generate SSH key
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ssh-keygen -t ed25519 -C "your_email@example.com"
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# Add key to ssh-agent
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eval "$(ssh-agent -s)"
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ssh-add ~/.ssh/id_ed25519
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# Add public key to GitHub
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# Copy key: cat ~/.ssh/id_ed25519.pub
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# Add at: https://github.com/settings/keys
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```
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## Docsify 文件問題
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### Docsify 命令未找到
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**問題：** `docsify: command not found`
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**解決方法：**
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```bash
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# Install globally
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npm install -g docsify-cli
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# If permission error on macOS/Linux
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sudo npm install -g docsify-cli
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# Verify installation
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docsify --version
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# If still not found, add npm global path
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# Find npm global path
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npm config get prefix
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# Add to PATH (add to ~/.bashrc or ~/.zshrc)
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export PATH="$PATH:/usr/local/bin"
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```
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### 文件無法載入
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**問題：** Docsify 啟動但內容未載入
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**解決方法：**
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```bash
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# Ensure you're in the repository root
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cd Data-Science-For-Beginners
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# Check for index.html
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ls index.html
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# Serve with specific port
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docsify serve --port 3000
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# Check browser console for errors (F12)
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```
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### 圖片無法顯示
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**問題：** 圖片顯示為損壞的連結圖示
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**解決方法：**
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1. 檢查圖片路徑是否為相對路徑
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2. 確保圖片檔案存在於存儲庫中
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3. 清除瀏覽器快取
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4. 驗證檔案副檔名是否匹配（某些系統對大小寫敏感）
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## 數據和檔案問題
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### 找不到檔案錯誤
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**問題：** 載入數據時出現 `FileNotFoundError`
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**解決方法：**
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```python
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import os
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# Check current working directory
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print(os.getcwd())
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# Use absolute path
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data_path = os.path.join(os.getcwd(), 'data', 'filename.csv')
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df = pd.read_csv(data_path)
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# Or use relative path from notebook location
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df = pd.read_csv('../data/filename.csv')
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# Verify file exists
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print(os.path.exists('data/filename.csv'))
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```
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### CSV 讀取錯誤
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**問題：** 讀取 CSV 檔案時出現錯誤
|
|
|
|
|
|
**解決方法：**
|
|
|
|
|
|
```python
|
|
|
import pandas as pd
|
|
|
|
|
|
# Try different encodings
|
|
|
df = pd.read_csv('file.csv', encoding='utf-8')
|
|
|
# or
|
|
|
df = pd.read_csv('file.csv', encoding='latin-1')
|
|
|
# or
|
|
|
df = pd.read_csv('file.csv', encoding='ISO-8859-1')
|
|
|
|
|
|
# Handle missing values
|
|
|
df = pd.read_csv('file.csv', na_values=['NA', 'N/A', ''])
|
|
|
|
|
|
# Specify delimiter if not comma
|
|
|
df = pd.read_csv('file.csv', delimiter=';')
|
|
|
```
|
|
|
|
|
|
### 大型數據集的記憶體錯誤
|
|
|
|
|
|
**問題：** 載入大型檔案時出現 `MemoryError`
|
|
|
|
|
|
**解決方法：**
|
|
|
|
|
|
```python
|
|
|
# Read in chunks
|
|
|
chunk_size = 10000
|
|
|
chunks = []
|
|
|
for chunk in pd.read_csv('large_file.csv', chunksize=chunk_size):
|
|
|
# Process chunk
|
|
|
chunks.append(chunk)
|
|
|
df = pd.concat(chunks)
|
|
|
|
|
|
# Or read specific columns only
|
|
|
df = pd.read_csv('file.csv', usecols=['col1', 'col2'])
|
|
|
|
|
|
# Use more efficient data types
|
|
|
df = pd.read_csv('file.csv', dtype={'column_name': 'int32'})
|
|
|
```
|
|
|
|
|
|
## 效能問題
|
|
|
|
|
|
### Notebook 效能緩慢
|
|
|
|
|
|
**問題：** Notebook 執行速度非常慢
|
|
|
|
|
|
**解決方法：**
|
|
|
|
|
|
1. **重新啟動核心並清除輸出**
|
|
|
- 核心 → Restart & Clear Output
|
|
|
|
|
|
2. **關閉未使用的 Notebook**
|
|
|
|
|
|
3. **優化程式碼：**
|
|
|
```python
|
|
|
# Use vectorized operations instead of loops
|
|
|
# Bad:
|
|
|
result = []
|
|
|
for x in data:
|
|
|
result.append(x * 2)
|
|
|
|
|
|
# Good:
|
|
|
result = data * 2 # NumPy/Pandas vectorization
|
|
|
```
|
|
|
|
|
|
4. **抽樣大型數據集：**
|
|
|
```python
|
|
|
# Work with sample during development
|
|
|
df_sample = df.sample(n=1000) # or df.head(1000)
|
|
|
```
|
|
|
|
|
|
### 瀏覽器崩潰
|
|
|
|
|
|
**問題：** 瀏覽器崩潰或無法響應
|
|
|
|
|
|
**解決方法：**
|
|
|
|
|
|
1. 關閉未使用的標籤頁
|
|
|
2. 清除瀏覽器快取
|
|
|
3. 增加瀏覽器記憶體（Chrome：`chrome://settings/system`）
|
|
|
4. 使用 JupyterLab 替代：
|
|
|
```bash
|
|
|
pip install jupyterlab
|
|
|
jupyter lab
|
|
|
```
|
|
|
|
|
|
## 獲取額外幫助
|
|
|
|
|
|
### 在尋求幫助之前
|
|
|
|
|
|
1. 檢查本疑難排解指南
|
|
|
2. 搜索 [GitHub Issues](https://github.com/microsoft/Data-Science-For-Beginners/issues)
|
|
|
3. 查看 [INSTALLATION.md](INSTALLATION.md) 和 [USAGE.md](USAGE.md)
|
|
|
4. 嘗試在線搜索錯誤訊息
|
|
|
|
|
|
### 如何尋求幫助
|
|
|
|
|
|
在創建問題或尋求幫助時，請提供以下信息：
|
|
|
|
|
|
1. **操作系統**：Windows、macOS 或 Linux（哪個版本）
|
|
|
2. **Python 版本**：執行 `python --version`
|
|
|
3. **錯誤訊息**：複製完整的錯誤訊息
|
|
|
4. **重現步驟**：錯誤發生前的操作
|
|
|
5. **已嘗試的解決方法**：您已嘗試的解決方案
|
|
|
|
|
|
**範例：**
|
|
|
```
|
|
|
**Operating System:** macOS 12.0
|
|
|
**Python Version:** 3.9.7
|
|
|
**Error Message:** ModuleNotFoundError: No module named 'pandas'
|
|
|
**Steps to Reproduce:**
|
|
|
1. Activated virtual environment
|
|
|
2. Started Jupyter notebook
|
|
|
3. Tried to import pandas
|
|
|
|
|
|
**What I've Tried:**
|
|
|
- Ran pip install pandas
|
|
|
- Restarted Jupyter
|
|
|
```
|
|
|
|
|
|
### 社群資源
|
|
|
|
|
|
- **GitHub Issues**：[創建問題](https://github.com/microsoft/Data-Science-For-Beginners/issues/new)
|
|
|
- **Discord**：[加入我們的社群](https://aka.ms/ds4beginners/discord)
|
|
|
- **討論區**：[GitHub Discussions](https://github.com/microsoft/Data-Science-For-Beginners/discussions)
|
|
|
- **Microsoft Learn**：[問答論壇](https://docs.microsoft.com/answers/)
|
|
|
|
|
|
### 相關文件
|
|
|
|
|
|
- [INSTALLATION.md](INSTALLATION.md) - 安裝指南
|
|
|
- [USAGE.md](USAGE.md) - 如何使用課程
|
|
|
- [CONTRIBUTING.md](CONTRIBUTING.md) - 如何貢獻
|
|
|
- [README.md](README.md) - 專案概述
|
|
|
|
|
|
---
|
|
|
|
|
|
**免責聲明**：
|
|
|
本文件使用 AI 翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 進行翻譯。儘管我們致力於提供準確的翻譯，請注意自動翻譯可能包含錯誤或不準確之處。原始文件的母語版本應被視為權威來源。對於關鍵資訊，建議使用專業人工翻譯。我們對因使用此翻譯而引起的任何誤解或錯誤解釋不承擔責任。 |
