19
Life Outside of Pandas
19.1 The (Scientific) Computing Stack
When Jake VanderPlas1 gave the SciPy2 2015 keynote address,3 he titled his talk “The State of the Stack”. Jake described how the community of packages that surround the core Python language developed. Python the language was created in the 1980s. Numerical computing began in 1995 and eventually evolved into the NumPy library in 2006. The NumPy library was the basis of the Pandas Series objects that we have worked with throughout this book. The core plotting library, Matplotlib, was created in 2002 and is also used within Pandas in the plot method. Pandas’ ability to work with heterogeneous data allows the analyst to clean different types of data for subsequent analysis using the ...
Get Pandas for Everyone: Python Data Analysis, 2nd Edition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
