Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries - Marjane Mall - Image 1
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Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries

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Livraison entre le Jeudi 11 juin 2026 et le Vendredi 12 juin 2026

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Marque : GENERIC
Vendu par HEAVENBOOKS.MA

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, Jupy...

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Description produit
Marque
GENERIC
Titre principal
Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries
Editeur
No Starch Press
Type de produit
Paperback
Présentation du livre
Paperback
Release date
1/17/2023 12:00:00 AM
Langue d'origine
English
ISBN
1718502664
Dimensions
7 x 1.32 x 9.25 inches
Nombre de pages de livre
744 pages
Langue - Librairie
English
Résumé
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 an*lyze 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 visualizationsRegardless of your scientific field, Python Tools for Scientists will show you how to choose the best tools to meet your research and computational an*lysis needs. Read more
Auteur(s)
Lee Vaughan
Date de parution
1/17/2023 12:00:00 AM