python for engineers book

Building AI Intensive Python Applications - by Rachelle Palmer & Ben Perlmutter & Ashwin Gangadhar (Paperback)

AI Systems Performance Engineering - by Chris Fregly (Paperback)

Python for Excel Users - by Tracy Stephens (Paperback)

Databricks Certified Generative AI Engineer Associate Study Guide - by Rajaniesh Kaushikk (Paperback)

Building Quantum Software in Python - by Constantin Gonciulea & Charlee Stefanski (Paperback)

Machine Learning for Financial Risk Management with Python - by Abdullah Karasan (Paperback)

Blueprints for Text Analytics Using Python - by Jens Albrecht & Sidharth Ramachandran & Christian Winkler (Paperback)

Simulation with Python - by Rongpeng Li & Aiichiro Nakano (Paperback)

Active Machine Learning with Python - by Margaux Masson-Forsythe (Paperback)

System Firmware - by Subrata Banik & Vincent Zimmer (Paperback)

Web Scraping with Python - 3rd Edition by Ryan Mitchell (Paperback)

Spark: The Definitive Guide - by Bill Chambers & Matei Zaharia (Paperback)

The Product-Minded Engineer - by Drew Hoskins (Paperback)

Dead Simple Python - by Jason C McDonald (Paperback)

Modern Graph Theory Algorithms with Python - by Colleen M Farrelly & Franck Kalala Mutombo (Paperback)

The Blender Python API - by Chris Conlan (Paperback)

Artificial Intelligence with Python - 2nd Edition by Alberto Artasanchez & Prateek Joshi (Paperback)

Build a Robo-Advisor with Python (from Scratch) - by Rob Reider & Alex Michalka (Paperback)

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

Software Engineering for Data Scientists - by Catherine Nelson (Paperback)

Python Data Cleaning and Preparation Best Practices - by Maria Zervou (Paperback)

Data Labeling in Machine Learning with Python - by Vijaya Kumar Suda (Paperback)

Clean Python - by Sunil Kapil (Paperback)

Causal Inference in Python - by Matheus Facure (Paperback)