Intro to Python for Computer Science and Data Science Authors: Paul Deitel, Harvey Deitel

Intro to Python for Computer Science and Data Science by Paul Deitel and Harvey Deitel is a cutting-edge textbook that equips learners with Python programming skills tailored for today’s most in-demand tech domains. Whether you're new to coding or refining your skills, this guide bridges foundational concepts with advanced applications in artificial intelligence, big data, and cloud computing.

Known for their accessible teaching style, the Deitel authors use live-code examples, practical exercises, and real-world problem sets to support active learning. The book provides:

A deep dive into Python syntax, data structures, and object-oriented design

Hands-on projects involving machine learning, deep learning, and data analytics

Integration with tools and platforms like TensorFlow, Jupyter, and AWS

Exercises and challenges ideal for classroom use or independent study

Clear explanations and visual aids that help learners grasp complex topics quickly

The cover’s colorful design—featuring a vibrant multicolored elephant—echoes the book’s energetic and inclusive teaching style, while symbolizing its association with big data ecosystems.

Designed for college students, tech educators, and aspiring data scientists, this book empowers readers to build robust applications, analyze large datasets, and think like modern developers. It’s a must-have resource for anyone charting a career in Python-based innovation.