Python for Data Analysis
by Wes McKinney
Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the late…
34 AI-mapped connections to other books on Hikara
Books that ECHO Python for Data Analysis
Reads that harmonize with similar ideas, themes, or philosophies.
Applied Machine Learning
Jason Hodson
Think Like a Data Scientist
Brian Godsey
Practical Statistics for Data Scientists
Peter Bruce, Andrew Bruce, Peter Gedeck
Essential Math for Data Science
Thomas Nield
Learning Spark
Jules S. Damji, Brooke Wenig, Tathagata Das, Denny Lee
Data Science from Scratch
Joel Grus
Designing Machine Learning Systems
Chip Huyen
Books that BRIDGE from Python for Data Analysis
Cross-domain reads that transfer ideas into new fields.
Python Crash Course, 3rd Edition
Eric Matthes
Practical Lakehouse Architecture
Gaurav Ashok Thalpati
Learn Docker in a Month of Lunches, Second Edition
Elton Stoneman
Modern Data Analytics in Excel
George Mount
Practical SQL, 2nd Edition
Anthony DeBarros
The Data Warehouse Toolkit
Ralph Kimball, Margy Ross
Machine Learning Algorithms in Depth
Vadim Smolyakov
Kubernetes in Action, Second Edition
Marko Lukša, Kevin Conner
Storytelling with Data
Cole Nussbaumer Knaflic
Java: A Beginner's Guide, Ninth Edition
Herbert Schildt
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