Book Name: Mastering Numerical Computing with NumPy
Author: Umit Mert Cakmak, Mert Cuhadaroglu
File size: 16.17 MB
File format: PDF
Mastering Numerical Computing with NumPy Pdf Book Description:
NumPy is among the most crucial scientific computing libraries offered for Python. Mastering Numerical Computing with NumPy educates you how you can attain professional degree competency to do complicated operations, with comprehensive coverage of innovative theories. Starting with NumPy’s arrays and functions, you may get accustomed to linear algebra concepts to do vector and matrix mathematics operations. Then you will proceed to working on realistic cases that will teach you how you can use NumPy data so as to research US real estate data and create a predictive model with simple and multiple linear regression methods.
As soon as you’ve to grips with the fundamentals, you may research unsupervised learning and clustering algorithms, followed by knowing how to write better NumPy code whilst retaining innovative concerns in mind. The book also shows the usage of various high performance numerical computing libraries and their connection with NumPy. You may learn how to benchmark the performance of various configurations and pick the most appropriate for the body.
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