Quantum Computing Explained for Beginners The Science, Technology, and Impact
Pantheon Space Academy
Published 2023
338 pages
The most popular data science books of 2023
Data science books show you how to learn from data. Statistics, databases, visualization and machine learning are taught through practical examples, usually with code. Beginners will find gentle introductions and working analysts will find deeper references. Good reading for a career change, too. This list shows the ones first published in 2023.
Results
Demand Forecasting Best Practices
Nicolas Vandeput
Published 2023
216 pages
Developing Apps with GPT-4 and ChatGPT
Olivier Caelen, Marie-Alice Blete
Published 2023
160 pages
Practical Data Privacy Enhancing Privacy and Security in Data
Katharine Jarmul
Published 2023
315 pages
Python Tools for Scientists An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries
Lee Vaughan
Published 2023
744 pages
Algorithms for the People Democracy in the Age of AI
Josh Simons
2023 · 2025 edition
320 pages
Data for All
John K. Thompson
Published 2023
192 pages
Building Knowledge Graphs A Practitioner's Guide
Jim Webber, Jesus Barrasa
Published 2023
288 pages
Dive Into Data Science Use Python To Tackle Your Toughest Business Challenges
Bradford Tuckfield
Published 2023
288 pages
Football Analytics with Python & R Learning Data Science Through the Lens of Sports
Richard A. Erickson, Eric A. Eager
Published 2023
327 pages
Causal Inference in Python Applying Causal Inference in the Tech Industry
Matheus Facure
Published 2023
385 pages
Elasticsearch in Action, Second Edition
Madhusudhan Konda
Published 2023
592 pages
Streamlit for Data Science Create Interactive Data Apps in Python
Tyler Richards
Published 2023
300 pages
Platform Thinking Read the Past. Write the Future
Daniel Trabucchi, Tommaso Buganza
Published 2023
196 pages
Fast Python High Performance Techniques for Large Datasets
Tiago Antao
Published 2023
304 pages
Data Modeling with Snowflake A Practical Guide for Accelerating Snowflake Development Using Universal Data Modeling Techniques
Serge Gershkovich
2023 · 2025 edition
444 pages
AI & Data Literacy Empowering Citizens of Data Science
Bill Schmarzo
Published 2023
238 pages
Generative AI with LangChain Build Large Language Model (LLM) Apps with Python, ChatGPT, and Other LLMs
Ben Auffarth
Published 2023
376 pages
Evolutionary Deep Learning Genetic Algorithms and Neural Networks
Micheal Lanham
Published 2023
360 pages
Ghostlore #4
Cullen Bunn
Published 2023
336 pages
Python How-To 63 Techniques to Improve Your Python Code
Yong Cui
Published 2023
504 pages
Mastering PostgreSQL 15 Advanced techniques to build and manage scalable, reliable, and fault-tolerant database applications
Hans-Jürgen Schönig
Published 2023
522 pages
Data Quality Empowering Businesses with Analytics and AI
Prashanth Southekal
Published 2023
304 pages
Spatial Statistics Illustrated
Lauren Bennett, Flora Vale
Published 2023
165 pages