Asset Details
Do you wish to reserve the book?
Numerical Python : scientific computing and data science applications with Numpy, SciPy and Matplotlib
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Numerical Python : scientific computing and data science applications with Numpy, SciPy and Matplotlib
Do you wish to request the book?
Numerical Python : scientific computing and data science applications with Numpy, SciPy and Matplotlib
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Book
Numerical Python : scientific computing and data science applications with Numpy, SciPy and Matplotlib
Available to read in the library!
Overview
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.
Publisher
Apress
ISBN
9781484242452, 1484242459
Item info:
1
item available
1
item total in all locations
| Call Number | Copies | Material | Location |
|---|---|---|---|
| QA76.73.P98 J64 2019 | 1 | BOOK | GENERAL |
