{"product_id":"python-tools-for-scientists-isbn-9781718502666","title":"Python Tools for Scientists","description":"\u003cb\u003eAn 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.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003ci\u003ePython Tools for Scientists\u003c\/i\u003e 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.\u003cbr\u003e\u003cbr\u003eOnce 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.\u003cbr\u003e\u003cbr\u003eYou’ll also learn how to:\u003cbr\u003e\u003cbr\u003e\u003cul\u003e\n\u003cli\u003eCreate isolated projects in virtual environments, build interactive notebooks, test code in the Qt console, and use Spyder’s interactive development features\u003c\/li\u003e\n\u003cli\u003eUse Python’s built-in data types, write custom functions and classes, and document your code\u003c\/li\u003e\n\u003cli\u003eRepresent data with the essential NumPy, Matplotlib, and pandas libraries\u003c\/li\u003e\n\u003cli\u003eUse Python plotting libraries like Plotly, HoloViews, and Datashader to handle large datasets and create 3D visualizations\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003eRegardless of your scientific field, \u003ci\u003ePython Tools for Scientists\u003c\/i\u003e will show you how to choose the best tools to meet your research and computational analysis needs.Introduction\u003cbr\u003e\u003cb\u003ePart 1: Setting up for Science\u003cbr\u003e\u003c\/b\u003eChapter 1: Installing Anaconda and Launching Navigator\u003cbr\u003eChapter 2: Keeping Organized with Conda Environments\u003cbr\u003eChapter 3: Simple Scripting in Jupyter Qt Console\u003cbr\u003eChapter 4: Serious Scripting with Spyder\u003cbr\u003eChapter 5: Jupyter Notebook: An Interactive Journal for Computational Research\u003cbr\u003eChapter 6: JupyterLab: Your Center for Science\u003cbr\u003e\u003cb\u003ePart 2: Python Primer\u003cbr\u003e\u003c\/b\u003eChapter 7: Integers, Floats, and Strings\u003cbr\u003eChapter 8: Variables\u003cbr\u003eChapter 9: The Container Data Types\u003cbr\u003eChapter 10: Flow Control\u003cbr\u003eChapter 11: Functions and Modules\u003cbr\u003eChapter 12: Files and Folders\u003cbr\u003eChapter 13: Object Oriented Programming\u003cbr\u003eChapter 14: Documenting your Work\u003cbr\u003e\u003cb\u003ePart 3: The Scientific and Visualization Libraries\u003cbr\u003e\u003c\/b\u003eChapter 15: The Scientific Libraries\u003cbr\u003eChapter 16: The InfoVis and SciVis Visualization Libraries\u003cbr\u003eChapter 17: The GeoVis Libraries\u003cbr\u003e\u003cb\u003ePart 4: The Essential Libraries\u003cbr\u003e\u003c\/b\u003eChapter 18: Numpy: Numerical Python\u003cbr\u003eChapter 19: Demystifying Matplotlib\u003cbr\u003eChapter 20: Pandas, Seaborn, and Scikit-learn\u003cbr\u003eChapter 21: Managing Dates and Times with Python and Pandas\u003cbr\u003eAppendix A: Answers to the \"Test your Knowledge\" Challenges\"\u003ci\u003ePython Tools for Scientists\u003c\/i\u003e helps people get up and running in Python so that they can start solving their problems right away instead of being daunted by the dizzying array of tools available in the ecosystem. I wish something like this had been available when I first picked up Python as a scientist!\" \u003cbr\u003e\u003cb\u003e—James Bednar, Director of Custom Services, Anaconda, Inc.\u003cbr\u003e\u003cbr\u003e\u003c\/b\u003e“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.\" \u003cbr\u003e\u003cb\u003e—Serdar Yegulalp, InfoWorld\u003cbr\u003e\u003c\/b\u003e\u003cbr\u003e\"The book [\u003ci\u003ePython Tools for Scientists\u003c\/i\u003e] by Lee Vaughan is a critical resource for anyone that is new to Python programming and intends to become a Python expert. It covers all of the critical topics in an easily understandable format and it goes deep enough to be helpful in navigating advanced topics. The book is also true to current Software Engineering standards and gives even new developers the tools to jump start their Python career.\"\u003cb\u003e\u003cbr\u003e—Dr. Alec Yasinsac, Department of Computer Science, University of South Alabama\u003cbr\u003e\u003cbr\u003e\u003c\/b\u003e\"I wish there was a book like this when I started learning Python... [\u003ci\u003ePython Tools for Scientists\u003c\/i\u003e] is a practical, detailed, hands-on introduction to setting up a local Python workspace and getting started with the basics of Python programming. It was written for scientists, by a scientist who knows what the typical problems are when scientists and engineers start using Python tools in their everyday work. It also introduces the wide variety of packages that can be used in scientific programming and provides guidelines on when to use them. Matplotlib, numpy, and pandas are covered in much more detail - as they should be. The writing and the organization of the material are clear and easy to follow. I have been using Python for many years, but I know I will be using this book both in teaching and research.\"\u003cb\u003e\u003cbr\u003e—Zolt\u003cb\u003eá\u003c\/b\u003en Sylvester, Senior Research Scientist, University of Texas at Austin\u003c\/b\u003e\u003cb\u003eLee Vaughan\u003c\/b\u003e is a programmer, pop culture enthusiast, educator, and author of \u003ci\u003eImpractical Python Projects\u003c\/i\u003e and \u003ci\u003eReal-World Python\u003c\/i\u003e (No Starch Press). As a former executive-level scientist at ExxonMobil, he spent decades constructing and reviewing complex computer models, developed and tested software, and trained geoscientists and engineers.","brand":"No Starch Press","offers":[{"title":"Default Title","offer_id":46305553055973,"sku":"NP9781718502666","price":49.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781718502666.jpg?v=1767735249","url":"https:\/\/k12savings.com\/products\/python-tools-for-scientists-isbn-9781718502666","provider":"K12savings","version":"1.0","type":"link"}