Book Name: Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib 2nd Edition
Author: Robert Johansson
Pages: 700 / 709
File size: 23.46 MB
File format: PDF
Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib 2nd Edition Pdf Book Description:
Leverage the mathematical and numerical modules in Python and its standard library in addition to popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and much more. This totally revised edition, updated with the most recent details of every bundle and modifications to Jupyter endeavors, shows how to numerically calculate mathematically and solutions model software in large data, cloud computing, financial technology, business management and much more.
Numerical Python, Second Edition, introduces many new case study examples of software in data science and data using Python, together with extensions to several preceding examples. Every one of them shows the ability of Python for quick growth and exploratory computing because of the easy and high level syntax and a number of choices for data evaluation.
After studying this novel, readers will probably be acquainted with many computing methods such as array-based and analytical computing, visualization and numerical document I/O, equation solving, optimization, interpolation and integration, and domain-specific technical difficulties, including differential equation solving, data analysis, statistical modeling and machine learning.