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42.0: Introduction

  • Page ID
    70552
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    This course uses Python to help students gain a practical understanding of how to use Linear Algebra to solve problems. Although students will likely become better programmers this course does not teach programming and assumes that that students have a basic understanding of Python.

    This notebook is designed to provide a review of the major Python Packages we will be using in this course and includes some common techniques you can use to avoid problems.

    I hope all students will learn something from the videos. However, feel free to run them at a faster speed and/or skip ahead if you feel you know what you are doing.

    Overview

    1. Matplotlib
    2. Review of Python Math Package
    3. Review of Python Numpy Package
    4. Advanced Python Indexing
    5. LaTeX Math
    6. Jupyter Tips and Tricks

    This page titled 42.0: Introduction is shared under a CC BY-NC 4.0 license and was authored, remixed, and/or curated by Dirk Colbry via source content that was edited to the style and standards of the LibreTexts platform; a detailed edit history is available upon request.