data analysis with python book

Kubernetes: Up and Running - 3rd Edition by Brendan Burns & Joe Beda & Kelsey Hightower & Lachlan Evenson (Paperback)

Essential Math for AI - by Hala Nelson (Paperback)

The Quick Python Book, Fourth Edition - 4th Edition by Naomi Ceder (Paperback)

Evals for AI Engineers - by Shreya Shankar & Hamel Husain (Paperback)

Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow - 3rd Edition by Aurélien Géron (Paperback)

Practical Linear Algebra for Data Science - by Mike X Cohen (Paperback)

Unifying Business, Data, and Code - by Ron Itelman & Juan Cruz Viotti (Paperback)

Fluent Python - 2nd Edition by Luciano Ramalho (Paperback)

Practical Time Series Analysis - by Aileen Nielsen (Paperback)

Data Mesh - by Zhamak Dehghani (Paperback)

Machine Learning with Python Cookbook - 2nd Edition by Kyle Gallatin & Chris Albon (Paperback)

Automating Data Quality Monitoring - by Jeremy Stanley & Paige Schwartz (Paperback)

Python Polars: The Definitive Guide - by Jeroen Janssens & Thijs Nieuwdorp (Paperback)

Learning Python - 6th Edition by Mark Lutz (Paperback)

Data Engineering for Multimodal AI - by Vasundra Srinivasan (Paperback)

Head First Algorithms and Data Structures - by Eric Freeman & Elisabeth Robson (Paperback)

Applied Machine Learning and AI for Engineers - by Jeff Prosise (Paperback)

Deep Learning for Coders with Fastai and Pytorch - by Jeremy Howard & Sylvain Gugger (Paperback)

Machine Learning Interviews - by Susan Shu Chang (Paperback)

Generative AI on AWS - by Chris Fregly & Antje Barth & Shelbee Eigenbrode (Paperback)

Hands-On Generative AI with Transformers and Diffusion Models - by Omar Sanseviero & Pedro Cuenca & Apolinário Passos & Jonathan Whitaker

SQL and Relational Theory - 3rd Edition by Chris J Date (Paperback)

Murach's R for Data Analysis - by Scott McCoy (Paperback)

Data Science on the Google Cloud Platform - 2nd Edition by Valliappa Lakshmanan (Paperback)