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  • e-book 
    First Semester in Numerical Analysis with Python

    First Semester in Numerical Analysis with Python

    The book is based on “First semester in Numerical Analysis with Julia”, written by Giray Ökten. The contents of the original book are retained, while all the algorithms are implemented in Python (Version 3.8.0). Python is an open source (under OSI), interpreted, general-purpose programming language that has a large number of users around the world. Python is ranked the third in August 2020 by the TIOBE programming community index, a measure of popularity of programming languages, and is the top-ranked interpreted language. We hope this book will better serve readers who are interested in a first course in Numerical Analysis, but are more familiar with Python for the implementation of the algorithms. The first chapter of the book has a self-contained tutorial for Python, including how to set up the computer environment. Anaconda, the open-source individual edition, is recommended for an easy installation of Python and effortless management of Python packages, and the Jupyter environment, a web-based interactive development environment for Python as well as many other programming languages, was used throughout the book and is recommended to the readers for easy code development, graph visualization and reproducibility.

    Subjects:
    Computing
    Keywords:
    Numerical analysis Computer programming Programming languages (Electronic computers) Textbooks Python (Computer program language)
    Resource Type:
    e-book
     
  • e-book 
    Quantitative Problem Solving in Natural Resources

    Quantitative Problem Solving in Natural Resources

    This text is intended to support courses that bridge the divide between mathematics typically encountered in U.S. high school curricula and the practical problems that natural resource students might engage with in their disciplinary coursework and professional internships.

    Subjects:
    Mathematics and Statistics
    Keywords:
    Problem solving Applied mathematics Textbooks Numerical analysis
    Resource Type:
    e-book