data analysis with python book

Fundamentals of Devops and Software Delivery - by Yevgeniy Brikman (Paperback)

Data Science: The Hard Parts - by Daniel Vaughan (Paperback)

Introduction to Linear Regression Analysis - (Wiley Probability and Statistics) 6th Edition by Douglas C Montgomery (Hardcover)

Python Data Science for Beginners - by Rufus Johnston (Paperback)

Building Neural Networks from Scratch with Python - by L D Knowings

Programming Python - 4th Edition by Mark Lutz (Paperback)

The Emerging Science of Machine Learning Benchmarks - by Moritz Hardt (Hardcover)

Introduction to Machine Learning with Python - by Andreas C Müller & Sarah Guido (Paperback)

Python and AWS Cookbook - by Mitch Garnaat (Paperback)

Designing with Data - by Rochelle King & Elizabeth F Churchill & Caitlin Tan (Paperback)

Python Data Analytics - 3rd Edition by Fabio Nelli (Paperback)

The Data Management Workbook - (Research Skills) by Kristin Briney (Paperback)

Computational Biology: Theory, Models and Methods - by Ivie Nathaniel (Hardcover)

Building Resilient Distributed Systems - by Sam Newman (Paperback)

97 Things Every Data Engineer Should Know - by Tobias Macey (Paperback)

Data Visualization with Python and JavaScript - 2nd Edition by Kyran Dale (Paperback)

Not Like Us - by Dirk Hovy (Hardcover)

Introduction to Statistical Machine Learning - by Masashi Sugiyama (Paperback)

Python Crash Course - (Programming) by Aiden Phillips (Paperback)

Python Debugging for Ai, Machine Learning, and Cloud Computing - by Dmitry Vostokov (Paperback)

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

Materials Informatics - by Olexandr Isayev & Alexander Tropsha & Stefano Curtarolo (Hardcover)

Russian-English Dictionary of Statistical Terms and Expressions - (Monograph Probability and Statistics) by Samuel Kotz & Wassily Hoeffding