Skip to content

Booksellers & Trade Customers: Sign up for online bulk buying at trade.atlanticbooks.com for wholesale discounts

Booksellers: Create Account on our B2B Portal for wholesale discounts

Numerical Python: Scientific Computing and Data Science Applications with Numpy, Scipy and Matplotl

by Johansson, Robert
Sold out
Current price ₹4,561.00
Original price ₹7,016.00
Original price ₹7,016.00
Original price ₹7,016.00
(-35%)
₹4,561.00
Current price ₹4,561.00

Ships in 1-2 Days

Free Shipping in India on orders above Rs. 500

Request Bulk Quantity Quote
+91
Book cover type: Paperback
  • ISBN13: 9781484242452
  • Binding: Paperback
  • Subject: Computer Science and Information Technology
  • Publisher: Springer Verlag
  • Publisher Imprint: Apress
  • Publication Date:
  • Pages: 700
  • Original Price: EUR 64.99
  • Language: English
  • Edition: N/A
  • Item Weight: 1239 grams
  • BISAC Subject(s): Languages / Python, Mathematical & Statistical Software, and Database Administration & Management

From the Back Cover

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.

Robert Johansson is a numerical Python expert and computational scientist who has worked with SciPy, NumPy and QuTiP, an open-source Python framework for simulating the dynamics of quantum systems.

Trusted for over 49 years

Family Owned Company

Secure Payment

All Major Credit Cards/Debit Cards/UPI & More Accepted

New & Authentic Products

India's Largest Distributor

Need Support?

Whatsapp Us