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You can use the 'Kernel > Restart & Clear Output' menu option to clear all outputs and start again from the top. Don't be afraid to mess around with the code & break things - you'll learn a lot by encountering and fixing errors. Jupyter is a powerful platform for experimentation and analysis. You can execute code cells and view the results, e.g., numbers, messages, graphs, tables, files, etc., instantly within the notebook.

Each cell can contain code written in Python or explanations in plain English. Jupyter Notebooks: This tutorial is a Jupyter notebook - a document made of cells. Click the Run button at the top of this page, select the Run Locally option, and follow the instructions. We recommend using the Conda distribution of Python. To run the code on your computer locally, you'll need to set up Python, download the notebook and install the required libraries. Option 2: Running on your computer locally Follow these instructions to connect your Google Drive with Jovian. The easiest way to start executing the code is to click the Run button at the top of this page and select Run on Colab. Option 1: Running using free online resources (1-click, recommended) You can run this tutorial and experiment with the code examples in a couple of ways: using free online resources (recommended) or on your computer. This tutorial is an executable Jupyter notebook hosted on Jovian.

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