Linear Algebra for Data Science with Python, Hardback

Learn how to use Python and associated data-science libraries to work with and visualize vectors and matrices and their operations, as well import data to apply these techniques. Learn basics of performing vector and matrix operations by hand, how to use several different Python libraries for performing operations.

• Publisher: Taylor & Francis Ltd
• Author(s): John M. Shea
• Illustration(s): 73 Line drawings, color; 73 Illustrations, color
• Number of pages: 248
• Collection: Chapman & Hall/CRC The Python Series
• Publication date: 2025
• Dimensions: 260 x 184 x 19
• Cover type: Hardback