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

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(as of Jul 20, 2025 18:08:20 UTC – Details)


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 will introduce you to Python tools you can use in your scientific research, including Anaconda, Spyder, Jupyter Notebooks, JupyterLab, and numerous Python libraries. You’ll learn to use Python for tasks such as creating visualizations, representing geospatial information, simulating natural events, and manipulating numerical data.
Once you’ve built an optimal programming environment with Anaconda, you’ll learn how to organize your projects and use interpreters, text editors, notebooks, and development environments to work with your code. Following the book’s fast-paced Python primer, you’ll tour a range of scientific tools and libraries like scikit-learn and seaborn that you can use to manipulate and visualize your data, or analyze it with machine learning algorithms.
You’ll also learn how to:
Create isolated projects in virtual environments, build interactive notebooks, test code in the Qt console, and use Spyder’s interactive development featuresUse Python’s built-in data types, write custom functions and classes, and document your codeRepresent data with the essential NumPy, Matplotlib, and pandas librariesUse 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.

From the Publisher

‘Cuts through the noise’

“Python has a wealth of scientific computing tools, so how do you decide which ones are right for you? This book cuts through the noise to help you deliver results.”

—Serdar Yegulalp, InfoWorld

‘Critical resource’

“Python Tools for Scientists is a critical resource for anyone that is new to Python programming and intends to become a Python expert.”

— Dr. Alec Yasinsac, University of South Alabama

‘Easy to follow’

“The writing and the organization of the material are clear and easy to follow”

— Zoltán Sylvester, University of Texas at Austin

About the Author

Lee Vaughan is the author of the “Quick Success Data Science” series on Medium.com and the programming books, “Impractical Python Projects: Playful Programming Activities to Make You Smarter,” “Real-World Python: A Hacker’s Guide to Solving Problems with Code,” and “Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python’s Scientific Libraries.” He currently lives in The Woodlands, Texas.

About the Publisher

No Starch Press has published the finest in geek entertainment since 1994, creating both timely and timeless titles like Python Crash Course, Python for Kids, How Linux Works, and Hacking: The Art of Exploitation. An independent, San Francisco-based publishing company, No Starch Press focuses on a curated list of well-crafted books that make a difference. They publish on many topics, including computer programming, cybersecurity, operating systems, and LEGO. The titles have personality, the authors are passionate experts, and all the content goes through extensive editorial and technical reviews. Long known for its fun, fearless approach to technology, No Starch Press has earned wide support from STEM enthusiasts worldwide.

Publisher ‏ : ‎ No Starch Press
Publication date ‏ : ‎ January 17, 2023
Language ‏ : ‎ English
Print length ‏ : ‎ 744 pages
ISBN-10 ‏ : ‎ 1718502664
ISBN-13 ‏ : ‎ 978-1718502666
Item Weight ‏ : ‎ 13 ounces
Dimensions ‏ : ‎ 7 x 1.32 x 9.25 inches
Best Sellers Rank: #121,565 in Books (See Top 100 in Books) #43 in Computer Programming Languages #48 in Data Processing #110 in Python Programming
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