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.

<ASIN:1788291468>

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

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