Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries by Lee Vaughan (Author)

Publisher: COMPUTER SCIENCE

Availability: In Stock
SKU: 56296
Number of Pages: 926

Rs.1,750.00

Rs.2,495.00

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Description
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Description

"Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries by Lee Vaughan (Author)" offers a comprehensive guide for scientists, researchers, and enthusiasts seeking to harness the power of Python in their work. Authored by Lee Vaughan, this book serves as a beginner-friendly introduction to essential tools and libraries within the Python ecosystem tailored specifically for scientific endeavors. Through clear explanations and hands-on examples, Vaughan navigates readers through the setup and utilization of Anaconda, a powerful Python distribution, and JupyterLab, an interactive development environment, providing a seamless platform for scientific computing and data analysis.

In the first part of the book, Vaughan delves into the fundamentals of Anaconda, elucidating its installation process and demonstrating its versatile package management system. Readers are equipped with the necessary skills to set up their Python environment effortlessly, ensuring a smooth transition into the world of scientific programming. Moving forward, the focus shifts to JupyterLab, where Vaughan elucidates its features and functionalities, empowering readers to leverage its interactive capabilities for exploratory data analysis, visualization, and documentation. Moreover, the book extensively covers Python's scientific libraries such as NumPy, SciPy, and Matplotlib, unveiling their potential for numerical computations, statistical analysis, and plotting, thereby equipping readers with a robust toolkit for tackling scientific challenges effectively.

Key Points:

Comprehensive guide tailored for scientists and researchers to utilize Python for scientific computing.
Detailed explanations and hands-on examples for setting up Anaconda and JupyterLab.
Extensive coverage of Python's scientific libraries including NumPy, SciPy, and Matplotlib.
Empowers readers with essential skills for data analysis, visualization, and scientific computation.

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Writer ✤ Lee Vaughan (Author)

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