Python Skill

This skill provides access to the user's Python installation located at: C:\Users\29165\anaconda3\python.exe 画图要支持中文：

2. CHINESE FONT SUPPORT (Critical for Windows)

plt.rcParams['font.sans-serif'] = ['SimHei', 'Microsoft YaHei', 'SimSun', 'Arial'] plt.rcParams['axes.unicode_minus'] = False # Fix minus sign display issue

Instructions

File Organization:

• Store all raw data files in the data/ directory
• Place all intermediate files and scripts in the workspace/ directory
• Save all final results and outputs to the result/ directory
• This keeps your project organized and makes it easy to clean intermediate files

1. To execute a Python script file:

   "C:\Users\29165\anaconda3\python.exe" script.py
   

2. To run Python code directly:

   "C:\Users\29165\anaconda3\python.exe" -c "print('Hello, world!')"
   

3. To install Python packages:

   "C:\Users\29165\anaconda3\python.exe" -m pip install package-name
   

4. To check Python version:

   "C:\Users\29165\anaconda3\python.exe" --version
   

5. To run a Python module:

   "C:\Users\29165\anaconda3\python.exe" -m module_name
   

Important Notes

• Always use double quotes around the path in Bash commands: "C:\Users\29165\anaconda3\python.exe"
• The user's Python installation includes Anaconda, so it has many scientific computing packages pre-installed
• Use python.exe for all Python operations (command-line scripts and applications)

Examples

Example 1: Run a script with proper file organization

# Raw data in data/, script in workspace/, output to result/
"C:\Users\29165\anaconda3\python.exe" workspace/data_processor.py --input data/raw_data.csv --output result/processed_data.csv

Example 2: Execute one-liner

"C:\Users\29165\anaconda3\python.exe" -c "import numpy as np; print(np.__version__)"

Example 3: Install package

"C:\Users\29165\anaconda3\python.exe" -m pip install pandas

Example 4: Run Jupyter notebook

"C:\Users\29165\anaconda3\python.exe" -m notebook

When to Use This Skill

• User asks to run Python code or scripts
• User needs to install Python packages
• User wants to check Python version or environment
• User requests data analysis, machine learning, or scientific computing tasks
• User needs to execute any Python-based tool or utility