env_commands.md

🧠 Python Virtual Environment Setup Guide (Windows, Linux & macOS)

Set up and manage your machine learning project in a clean Python environment using the steps below.

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🛠️ Step 1: Create Virtual Environment

python -m venv my_ml_env

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📁 Step 2: Navigate to Your Project Folder

cd path/to/your_project_folder
# Example for Windows:
# cd C:\ML_Projects\your_project_folder

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▶️ Step 3: Activate the Virtual Environment

Windows:

my_ml_env\Scripts\activate

macOS/Linux:

source my_ml_env/bin/activate

After activation, your terminal prompt will look like this:

(my_ml_env) your_project_folder>

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📦 Step 4: Check Installed Packages (Optional)

pip list

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❌ Step 5: Deactivate the Virtual Environment

deactivate

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📄 Step 6: Generate requirements.txt

pip freeze > requirements.txt

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📥 Step 7: Install Packages from requirements.txt

pip install -r requirements.txt

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✅ You're now ready to work in a clean and portable Python environment for your machine learning project!