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Words are useful, but what's more useful are the sentences and stories we build with them. Similarly, while a lot of powerful, general tools are built into Python, specialized tools built up from these basic units live in libraries that can be called upon when needed. To begin processing inflammation data, we need to load it into Python. One way we can accomplish this is using a library called NumPy, which stands for Numerical Python. In general, you should be using this library whenever you want to do fancy things with lots of numbers, especially if you have matrices or arrays. To tell Python that we'd like to start using NumPy, we need to import it: Importing a library is like getting a piece of lab equipment out of a storage locker and setting it up on the bench. Libraries provide additional functionality to the basic Python package, much like a new piece of equipment adds functionality to a lab space. Just like in the lab, importing too many libraries can sometimes complicate and s

Analyzing and Visualizing Data: OxRSE Training Skip to main content Analyzing and Visualizing Data "Programming with Python" course by the Carpentries Analyzing and Visualizing Data Learning outcomes Using the NumPy library to import and analyze data. Using the matplotlib library to visualize data and adjust plot format. For this lesson, you will first need to download and unzip uniqplus_python_data.zip . Words are useful, but what's more useful are the sentences and stories we build with them. Similarly, while a lot of powerful, general tools are built into Python, specialized tools built up

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