Linear Algebra for Data Science with Python, Hardback/John M. Shea
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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
- Brand
- Taylor & Francis Ltd
- subcategory
- Carte straina/Computing & information technology/Computer science
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