Python project in Visual Studio Code

Python project in Visual Studio Code

1. Install VS Code and Python Extension

• Download and install VS Code from https://code.visualstudio.com/.
• In VS Code, go to Extensions (left sidebar) and install the Python extension by Microsoft.

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2. Ensure Anaconda Is Installed

• Anaconda should be installed (you can verify with conda --version in your terminal).
• Open Terminal or Anaconda Prompt and create a new conda environment if desired:

  conda create -p venv python==3.13
  conda activate venv
  

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3. Open or Create Your Python Project in VS Code

• Open VS Code and select File > Open Folder to open your project directory or create a new folder.
• You can create Python files (.py) inside this folder.

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4. Select the Anaconda Environment in VS Code

• Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) to open the Command Palette.
• Type and select Python: Select Interpreter.
• Choose your Anaconda environment from the list (it will show paths like /Users/yourname/anaconda3/envs/myenv/bin/python).
• If your environment is not listed, you can add it manually by providing the path to the Python executable inside the conda environment.

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5. Create and Activate a Virtual Environment (Optional)

• Although conda environments handle this, you can create new environments to isolate project dependencies.
• Manage dependencies via conda install package_name inside the activated environment.

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6. Use VS Code Terminal

• Open the integrated terminal in VS Code (View > Terminal).
• It should start with the chosen conda environment activated, allowing you to run Python scripts using the selected interpreter.

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7. Run and Debug Python Code

• Open a .py file.
• Click the Run icon or press F5 to run/debug scripts with your Anaconda Python interpreter.
• VS Code handles breakpoints, variable inspection, and interactive debugging.

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8. Install Required Packages

• Use the terminal in VS Code to install packages with conda or pip:

  conda install numpy pandas
  

  or

  pip install requests
  

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9. Optional: Use Jupyter Notebooks in VS Code

• You can open .ipynb files directly in VS Code.
• Jupyter support comes with the Python extension and works seamlessly within your Anaconda environments.

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