Overview
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. Youāll learn to use Python for tasks such as creating visualizations, representing geospatial information, simulating natural events, and manipulating numerical data.
Once youāve built an optimal programming environment with Anaconda, youāll learn how to organize your projects and use interpreters, text editors, notebooks, and development environments to work with your code. Following the bookās fast-paced Python primer, youāll 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.
Youāll also learn how to:
- Create isolated projects in virtual environments, build interactive notebooks, test code in the Qt console, and use Spyderās interactive development features
- Use Pythonās 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.
This book title, Python Tools for Scientists (An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries), ISBN: 9781718502666, by Lee Vaughan, published by No Starch Press (October 4, 2022) is available in paperback. Our minimum order quantity is 25 copies. All standard bulk book orders ship FREE in the continental USA and delivered in 4-10 business days.
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