Looking to take your data science workflow to the next level? In this beginner-friendly tutorial, we’ll show you how to **launch JupyterLab using Anaconda**—the powerful next-generation user interface for Project Jupyter. Whether you’re working with Python, data analysis, or machine learning, JupyterLab offers a flexible and feature-rich environment for writing and running your code.

We guide you through multiple methods to start JupyterLab on your system, including using **Anaconda Navigator** (the GUI way) and **Anaconda Prompt/Terminal** (the command-line method). Both approaches are explained clearly so you can choose what works best for your setup.

What You’ll Learn:

* What is JupyterLab and how it compares to Jupyter Notebook
* How to open JupyterLab from Anaconda Navigator
* How to launch JupyterLab from Anaconda Prompt or terminal using the `jupyter lab` command
* Setting the working directory and choosing environments
* How to open existing notebooks and scripts in JupyterLab
* Optional: Installing JupyterLab if it’s not already included in your environment
* Tips for customizing the interface and managing workspaces

JupyterLab is an essential tool for modern Python development, offering tabbed notebooks, terminals, code editors, file browsers, and more—all in a single window. With Anaconda, launching it is fast and simple, and this video ensures you get started smoothly.

Bonus: We also show how to fix common issues, like the `'jupyter' is not recognized` error, and how to update JupyterLab for the latest features.

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