This book, subtitled "An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries", provides an introduction to Python and its most popular tools for scientists and engineers for research, simulations, and collaboration. Lee Vaughan introduces tools including Anaconda, Spyder, Jupyter Notebooks, JupyterLab, and numerous Python libraries.

The book covers using Python for tasks such as creating visualizations, representing geospatial information, simulating natural events, and manipulating numerical data. Having shown how to set up an optimal programming environment with Anaconda, the book goes on to a fast-paced Python primer, after which comes a tour of scientific tools and libraries like scikit-learn and seaborn for manipulating and visualizing data, and for analyzing it with machine learning algorithms.

Author: Lee Vaughan
Publisher: No Starch Press
Date: January 2023
Pages: 744
ISBN: 978-1718502666
Print: 1718502664
Kindle: B09WJXRNWT
Audience: Scientists interested in Python
Level: Introductory/Intermediate
Category: Python

Topics covered:

• Create isolated projects in virtual environments, build interactive notebooks, test code in the Qt console, and use Spyder’s interactive development features
• 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

For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

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