Python Tools for Scientists : An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries
Language: English
Published by Random House LLC US Jan 2023, 2023
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 50.93
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Add to basketItem description from seller
Neuware - 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 introduces readers to the most popular coding tools for scientific research, such as Anaconda, Spyder, Jupyter Not Elektronisches Buch, and JupyterLab, as well as dozens of important Python libraries for working with data, including NumPy, matplotlib, and pandas. No prior programming experience is required! You ll be guided through setting up a professional coding environment, then get a crash course on programming with Python, and explore the many tools and libraries ideal for working with data, designing visualizations, simulating natural events, and more.In the book s applied projects, you ll use these tools to write programs that perform tasks like simulating globular star clusters, building ships for a wargame simulator, creating an interactive science slideshow, and classifying animal species.…
Seller Inventory # 9781718502666
- Title
- Python Tools for Scientists : An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries
- Author
- Lee Vaughan
- Publisher
- Random House LLC US Jan 2023
- Publication year
- 2023
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1718502664
- ISBN 13
- 9781718502666
- Item weight
- 1,153 grams
- Dimensions
- 233x181x37 mm
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 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
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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