The SciPy Stack can be used to process, manipulate, and visualize data using Python, but using the stack correctly can be a tricky proposition. In this book, authors L. Felipe Martins, Ruben Oliva Ramos and V Kishore Ayyadevara provide the right techniques so you can use SciPy to perform different data science tasks with ease with hands-on recipes for using the different components of the SciPy Stack such as NumPy, SciPy, matplotlib, and pandas.

Author: L. Felipe Martins, Ruben Oliva Ramos and V Kishore Ayyadevara
Publisher: Packt Publishing
Date: Dec 2017
Pages: 386
ISBN: 978-1788291460
Print: 1788291468
Kindle: B073TVYLCZ
Audience: Python developers interested in data analysis
Level: intermediate
Category: Data Science

• Get a solid foundation in scientific computing using Python
  
  
• Master common tasks related to SciPy and associated libraries such as NumPy, pandas, and matplotlib
  
  
• Perform mathematical operations such as linear algebra and work with the statistical and probability functions in SciPy
  
  
• Master advanced computing such as Discrete Fourier Transform and K-means with the SciPy Stack
  
  
• Implement data wrangling tasks efficiently using pandas
  
  
• Visualize your data through various graphs and charts using matplotlib

For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.