Data analysis is part of data science and engineering.
Data Analysis Frameworks
Data analysis frameworks and libraries featured on this post:
- pandas
Pandas
pandas is a data analysis and manipulation library written in Python.
It is FOSS, under a BSD-3-clause license.
It may be used together with library NumPy, that provides support for large, multi-dimensional arrays and matrices.
Books on Programming for Data Analysis
Books:
- “Python for Data Analysis”, by Wes Mckinney
- “Numerical Python : a practical techniques approach for industry”, by Robert Johansson
- “Python Data Science Handbook”, by Jake Vanderplas
“Python for Data Analysis” at the Open Library
“Numerical Python” at the Open Library
“Python Data Science Handbook” at the Open Librarr
Books:
- VANDERPLAS, Jake. Python Data Science Handbook. O’Reilly.
- MCKINNEY, Wes. Python for Data Analysis. O’Reilly
- JOHANSONN, Robert. Numerical Python : A Practical Techniques Approach for Industry. 2024, APress.
“Python Data Science Handbook” book
“Python for Data Analysis” book
It is written by the author of pandas Python library.
“PfDA” at the author’s website
“Numerical Python: A Practical Techniques Approach for Industry”
“Numerical Python : A Practical Techniques Approach for Industry”
Editions:
- 3rd. 2024
- 2nd. 2019
- 1st. 2015
Publisher’s website for the 3rd edition
Publisher’s website for the 1st ed.