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              <h1><b>Linear Algeba With Python</b>
              </h1>
              <h1 style="margin-top: -40px;">
                <span style="font-size: 0.5em;">An Analytical
                  and Computational Visual Guide</span>
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              <p class="hide-small author"
                style="margin-top: -30px;">Weijie Chen <br>
                
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                <p> <i>Linear Algebra with Python</i> is designed to
                  provide a comprehensive
                  refresher on the essential concepts of linear
                  algebra, tailored for professionals and students in
                  fields such as statistics, econometrics,
                  quantitative analysis, and data science. Whether
                  you're a seasoned expert or someone looking to
                  solidify your foundational knowledge, this guide
                  offers an in-depth exploration of critical topics in
                  linear algebra, enriched with Python-based
                  computation and visualization.</p>

                <p>Throughout this book, we will delve into key concepts
                  that are pivotal for advanced quantitative skill
                  sets, including linear combinations, vector spaces,
                  linear transformations, eigenvalues and
                  eigenvectors, diagonalization, singular value
                  decomposition, and more. Each concept is carefully
                  explained and demonstrated with Python, making
                  abstract ideas more concrete and applicable to
                  real-world scenarios.</p>

              <p>Ready to get started? Skip ahead to the <a
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              <h2 style="text-align: center;">WHAT IT IS ABOUT</h2>

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            <h2 style="text-align: center;">NAVIGATION</h2>
            <p>OK, let's begin! Click the link at the bottom the
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