![]() ![]() your brand new shiny MacBook Air or Mac Studio running Apple Silicon. Steps include installing Java, Scala, Python, PySpark, and Jupyter by using Homebrew. Learn how to install configure TensorFlow with Jupyter Notebook for use on your. In this PySpark installation article, you have learned the step-by-step installation of PySpark and Jupyter on Mac OS. On Jupyter, each cell is a statement, so you can run each cell independently when there are no dependencies on previous cells. Now select New -> PythonX and enter the below lines and select Run. The left column is also having tabs for file browser, running kernels and tabs and settings view. You can start a new notebook based/terminal based on any of them. The launcher tab shows currently available kernels and consoles. This opens up Jupyter in a default web browser. Visit and choose ‘try JupyterLab’ option. ![]() Now let’s start the Jupyter notebook and run the PySpark example. Run it with the command jupyter notebook. In real-time when you are working on data analysis or machine learning, you would be required to run the PySpark application in the Jupyter notebook hence let’s learn how to use Jupyter after installing. If you use pip, you can install it with: pip install notebook if you run into user permissions, use thispip install -user notebook Once that is complete, in their documentation they say, Congrats You’ve installed it. Note that it displays Spark and Python versions to the terminal. ![]()
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