Environment

Virtual Environments

Virtual environments (venv) isolate your project’s dependencies from the system Python so different projects don’t conflict.

Create and activate a venv:

# Create a venv in the .venv folder (convention)
python -m venv .venv

# On Windows Command Prompt
.venv\Scripts\Activate.bat

# On Windows PowerShell
.venv\Scripts\Activate.ps1

# Activate (macOS/Linux)
source .venv/bin/activate

# Verify
python -V

Deactivate with deactivate.

# Activate (macOS/Linux)
source .venv/bin/deactivate

# On Windows PowerShell
# .venv\Scripts\Deactivate.ps1

Installing Packages (pip)

PyPI - The Python Package Index

Install, upgrade, uninstall:

pip install numpy
pip install --upgrade pip
pip uninstall numpy

Freeze your current environment to a requirements file:

pip freeze > requirements.txt

Install from a requirements.txt:

pip install -r requirements.txt

Running Modules

Use the -m flag to run installed modules and ensure the correct interpreter is used:

python -m http.server 8000

Common Workflows

# 1) Create project and venv
mkdir myapp && cd myapp
python -m venv .venv
source .venv/bin/activate

# 2) Install deps
pip install numpy

# 3) Save exact versions
pip freeze > requirements.txt

# 4) Recreate env later
venv .venv
source .venv/bin/activate
pip install -r requirements.txt

Jupyter Notebook + VS Code

Extensions

Optional Extensions

https://marketplace.visualstudio.com/items?itemName=Google.colab

JupyterLab

JupyterLab is the next-generation web interface for Jupyter notebooks, consoles, and file management.

Install

pip install jupyterlab

Run

# Start JupyterLab (opens in your browser)
jupyter lab

If the browser does not open, copy the token URL printed in the terminal to your browser.

Stop

Stop the server with Ctrl+C in the terminal.

Google Colab

Google Colab

Free, cloud-based platform that allows users to write and execute Python code in a Jupyter Notebook environment.

Built with passion by Ngineer Lab