Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách keo gáy, bìa mềm
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.
Categories:Computers - Computer Science
Year:2019
Edition:2
Language:english
Pages:709
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