Environment management with conda and pip in MLOps - Mini Project: Build & Apply

Environment management with conda and pip

📖 Scenario: You are working on a machine learning project that requires specific Python packages. To keep your project organized and avoid conflicts with other projects, you will create and manage a separate environment using conda and pip.

🎯 Goal: Learn how to create a new conda environment, install packages using pip, and verify the installed packages.

📋 What You'll Learn

Create a new conda environment named ml_project_env with Python 3.12

Install the numpy package using conda

Install the scikit-learn package using pip inside the conda environment

List all installed packages in the environment to verify

💡 Why This Matters

🌍 Real World

Managing Python environments helps avoid conflicts between projects and keeps your machine learning projects organized.

💼 Career

Environment management is a key skill for data scientists and MLOps engineers to ensure reproducible and stable workflows.

1

Create a new conda environment

Type the command to create a new conda environment named ml_project_env with Python version 3.12.

MLOps

# Your code here

Need a hint?

Use conda create -n <env_name> python=<version> to create the environment.

2

Activate the conda environment and install numpy

Type the command to activate the conda environment named ml_project_env. Then type the command to install the numpy package using conda.

MLOps

conda create -n ml_project_env python=3.12 -y
# Your code here

Need a hint?

Use conda activate ml_project_env to activate. Use conda install numpy to install numpy.

3

Install scikit-learn using pip inside the environment

Type the command to install the scikit-learn package using pip inside the activated ml_project_env environment.

MLOps

conda activate ml_project_env
conda install numpy -y
# Your code here

Need a hint?

Use pip install scikit-learn to install the package inside the environment.

4

List installed packages to verify

Type the command to list all installed packages in the ml_project_env environment using conda list.

MLOps

pip install scikit-learn
# Your code here

Need a hint?

Use conda list to see all installed packages in the environment.