Python

Learning Python for Forensics. Leverage the power of Python in forensic investigations - Second Edition

Preston Miller, Chapin Bryce

Learning Python. Learn to code like a professional with Python - an open source, versatile, and powerful programming language

Fabrizio Romano

Learning Python Networking. A complete guide to build and deploy strong networking capabilities using Python 3.7 and Ansible - Second Edition

José Manuel Ortega, Dr. M. O. Faruque...

Learning Python Web Penetration Testing. Automate web penetration testing activities using Python

Christian Martorella

Learning R for Geospatial Analysis. Leverage the power of R to elegantly manage crucial geospatial analysis tasks

Michael Dorman

Learning Robotics using Python. Design, simulate, program, and prototype an autonomous mobile robot using ROS, OpenCV, PCL, and Python - Second Edition

Lentin Joseph

Learning Tableau 2025. Leverage Tableau's newest features to revolutionize your data storytelling with AI-enhanced insights - Sixth Edition

Joshua N. Milligan

Learning Website Development with Django

Ayman Hourieh

Lepszy kod w Pythonie. Przewodnik dla aspirujących ekspertów

David Mertz

Limitless Analytics with Azure Synapse. An end-to-end analytics service for data processing, management, and ingestion for BI and ML

Prashant Kumar Mishra, Mukesh Kumar

Linear Regression With Python. A Tutorial Introduction to the Mathematics of Regression Analysis

James V Stone

LLM Engineer's Handbook. Master the art of engineering large language models from concept to production

Paul Iusztin, Maxime Labonne, Julien Chaumond, Hamza...

LLM Prompt Engineering for Developers. The Art and Science of Unlocking LLMs' True Potential

Aymen El Amri

LLM w projektowaniu oprogramowania. Tworzenie inteligentnych aplikacji i agentów z wykorzystaniem dużych modeli językowych

Valentina Alto

LLMs in Enterprise. Design strategies, patterns, and best practices for large language model development

Ahmed Menshawy, Mahmoud Fahmy

Machine Learning Algorithms. A reference guide to popular algorithms for data science and machine learning

Giuseppe Bonaccorso