linear algebra for data science in python

Doing Data Science - by Cathy O'Neil & Rachel Schutt (Paperback)

3D Data Science with Python - by Florent Poux (Paperback)

Data Wrangling with SQL - by Raghav Kandarpa & Shivangi Saxena (Paperback)

Data Science - (MIT Press Essential Knowledge) by John D Kelleher & Brendan Tierney (Paperback)

Cost-Effective Data Pipelines - by Sev Leonard (Paperback)

Extending Excel with Python and R - by Steven Sanderson & David Kun (Paperback)

Python Data Science Handbook - 2nd Edition by Jake Vanderplas (Paperback)

Unlocking Data with Generative AI and RAG - by Keith Bourne (Paperback)

Matrices and Linear Algebra - (Dover Books on Mathematics) 2nd Edition by Hans Schneider & George Phillip Barker (Paperback)

Hands-On APIs for AI and Data Science - by Ryan Day (Paperback)

Building Data Science Applications with FastAPI - Second Edition - 2nd Edition by François Voron (Paperback)

Build a Career in Data Science - by Emily Robinson & Jacqueline Nolis (Paperback)

Data Science, Interactive Visualizations, and Generative AI Tools for the Analysis of Qualitative, Mixed-Methods, and Multimodal Evidence

Murach's Python for Data Science (2nd Edition) - by Scott McCoy (Hardcover)

Understanding Linear Algebra - by David Austin

Data Contracts - by Chad Sanderson & Mark Freeman & B E Schmidt (Paperback)

Beware the Burmese Pythons - by Etta Kaner (Hardcover)

Abstract Lie Algebras - (Dover Books on Mathematics) by David J Winter (Paperback)

Communicating with Data - by Carl Allchin (Paperback)

Data Quality Engineering in Financial Services - by Brian Buzzelli (Paperback)

Modern Data Analytics in Excel - by George Mount (Paperback)

Graph Paper Notebook - (Math and Science Notebooks) by Young Dreamers Press (Paperback)

Deciphering Data Architectures - by James Serra (Paperback)

Data Transformation: The Definitive Guide - by Andrew Madson & Toby Mao & Iaroslav Zeigerman (Paperback)