December 2017
Intermediate to advanced
386 pages
10h 42m
English
In the previous chapters, we have become familiar with instantiating NumPy arrays, pandas data frames/series, and performing some basic data manipulation tasks using those. However, a typical data analysis task would involve a more detailed exploration, which in turn requires us to perform more scientific tasks.
This chapter discusses the solution of matrix-oriented problems in SciPy, which constitute the fundamentals of much of the work done in scientific computing and data analysis.
In order to understand the need for learning matrix analysis and linear algebra further, let us look into a few examples:
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