Pandas in Action (MEAP V07)
Boris Paskhaver
Manning Early Access Program (MEAP) Version 07
chapters 1 to 11
Pandas in Action makes it easy to dive into Python-based data analysis. You’ll learn to use pandas to automate repetitive spreadsheet functionality and derive insight from data by sorting columns, filtering data subsets, and creating multi-leveled indices. Each chapter is a self-contained tutorial, letting you dip in when you need to troubleshoot tricky problems. Best of all, you won’t be learning from sterile or randomly created data. You’ll start with a variety of datasets that are big, small, incomplete, broken, and messy and learn how to clean and format them for proper analysis.
chapters 1 to 11
Pandas in Action makes it easy to dive into Python-based data analysis. You’ll learn to use pandas to automate repetitive spreadsheet functionality and derive insight from data by sorting columns, filtering data subsets, and creating multi-leveled indices. Each chapter is a self-contained tutorial, letting you dip in when you need to troubleshoot tricky problems. Best of all, you won’t be learning from sterile or randomly created data. You’ll start with a variety of datasets that are big, small, incomplete, broken, and messy and learn how to clean and format them for proper analysis.
Catégories:
Année:
2020
Edition:
MEAP
Editeur::
Manning Publications
Langue:
english
Pages:
284
ISBN 10:
1617297437
ISBN 13:
9781617297434
Fichier:
PDF, 6.63 MB
IPFS:
,
english, 2020