Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries,

An introduction to the Python programming language and its most popular tools for scientists, engineers, students, and anyone who wants to use Python for research, simulations, and collaboration.

Python Tools for Scientists

You’ll also learn how to:

Use Python’s built-in data types, write custom functions and classes, and document your code

Represent data with the essential NumPy, Matplotlib, and pandas libraries

Use Python plotting libraries like Plotly, HoloViews, and Datashader to handle large datasets and create 3D visualizations

Regardless of your scientific field,

Python Tools for Scientists

will show you how to choose the best tools to meet your research and computational analysis needs.

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