Laman utama Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
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Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute solutions and mathematically model applications in big data, cloud computing, financial engineering, business management and more.
Numerical Python, Second Edition, presents many brand-new case study examples of applications in data science and statistics using Python, along with extensions to many previous examples. Each of these demonstrates the power of Python for rapid development and exploratory computing due to its simple and high-level syntax and multiple options for data analysis.
After reading this book, readers will be familiar with many computing techniques including array-based and symbolic computing, visualization and numerical file I/O, equation solving, optimization, interpolation and integration, and domain-specific computational problems, such as differential equation solving, data analysis, statistical modeling and machine learning.

What You'll Learn
• Work with vectors and matrices using NumPy
• Plot and visualize data with Matplotlib
• Perform data analysis tasks with Pandas and SciPy
• Review statistical modeling and machine learning with statsmodels and scikit-learn
• Optimize Python code using Numba and Cython

Who This Book Is For
Developers who want to understand how to use Python and its related ecosystem for numerical computing.
Tahun:
2019
Edisi:
2
Penerbit:
Apress
Bahasa:
english
Halaman:
700 / 709
ISBN 10:
1484242459
ISBN 13:
978-1484242452
File:
PDF, 23,46 MB
Mengunduh (pdf, 23,46 MB)

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Istilah kunci

 
 
kenujen
best in the field...
20 January 2019 (19:15) 
Lucky Oneimu Abolorunke
Kenujen do you have this book as PDF
18 September 2019 (10:12) 
Tejas Avinash Shetty
The writer is one of the maintainers of the QuTIP package. It one of the most used Python package for Quantum Mechanics, Quantum Computation. Hence, he is well placed to write such a book on Scientific computations in Python.
24 January 2020 (17:17) 
simf
the best matter for selfish education. Thanks for brilliant work!
21 March 2020 (22:30) 
rani
Very much happy with your services as books are conveniently available here without any wastage of time. Moreover books of all the subjects are very supportive for readers and good for career.
09 April 2020 (15:21) 
Sir Benrabé
Muy agradecido por compartir libros muy interesantes que ayudan a muchos a superarse.
23 August 2020 (07:41) 
piedra
Excelent Book, Thank's!!!!!
31 August 2020 (15:49) 
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