Python

Automated Testing in Microsoft Dynamics 365 Business Central. Efficiently automate test cases in Dynamics NAV and Business Central

Luc van Vugt

AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide. The definitive guide to passing the MLS-C01 exam on the very first attempt

Somanath Nanda, Weslley Moura

AWS dla administratorów systemów. Tworzenie i utrzymywanie niezawodnych aplikacji chmurowych

Prashant Lakhera

AWS for Solutions Architects. Design and scale secure AWS architectures with GenAI strategies and real-world patterns - Third Edition

Saurabh Shrivastava, Neelanjali Srivastav, Dhiraj Thakur, Kamal...

Azure Data Engineering Cookbook. Design and implement batch and streaming analytics using Azure Cloud Services

Ahmad Osama, Nagaraj Venkatesan

Azure Data Scientist Associate Certification Guide. A hands-on guide to machine learning in Azure and passing the Microsoft Certified DP-100 exam

Andreas Botsikas , Michael Hlobil

Bayesian Analysis with Python. A practical guide to probabilistic modeling - Third Edition

Osvaldo Martin, Christopher Fonnesbeck, Thomas Wiecki

Bayesian Analysis with Python. Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ - Second Edition

Osvaldo Martin, Eric Ma, Austin Rochford

Become a Python Data Analyst. Perform exploratory data analysis and gain insight into scientific computing using Python

Alvaro Fuentes

Becoming an Enterprise Django Developer. Discover best practices, tooling, and solutions for writing and organizing Django applications in production

Michael Dinder

Before Machine Learning Volume 2 - Calculus for A.I. The Fundamental Mathematics for Data Science and Artificial Intelligence

Jorge Brasil

Beginning Data Science with Python and Jupyter. Use powerful industry-standard tools within Jupyter and the Python ecosystem to unlock new, actionable insights from your data

Alex Galea

Bezpieczeństwo sieci w Pythonie. Rozwiązywanie problemów za pomocą skryptów i bibliotek. Wydanie II

José Manuel Ortega

Big Data Analysis with Python. Combine Spark and Python to unlock the powers of parallel computing and machine learning

Ivan Marin, Ankit Shukla, Sarang VK

Big Data on Kubernetes. A practical guide to building efficient and scalable data solutions

Neylson Crepalde

Bioinformatics with Python Cookbook. Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology - Second Edition

Tiago Antao

Bioinformatics with Python Cookbook. Use modern Python libraries and applications to solve real-world computational biology problems - Third Edition

Tiago Antao

Biostatistics with Python. Apply Python for biostatistics with hands-on biomedical and biotechnology projects

Darko Medin

Blender 3D By Example. A project-based guide to learning the latest Blender 3D, EEVEE rendering engine, and Grease Pencil - Second Edition

Oscar Baechler, Xury Greer

Building AI Applications with OpenAI APIs. Leverage ChatGPT, Whisper, and DALL-E APIs to build 10 innovative AI projects - Second Edition

Martin Yanev

Building AI Intensive Python Applications. Create intelligent apps with LLMs and vector databases

Rachelle Palmer, Ben Perlmutter, Ashwin Gangadhar, Nicholas...

Building Big Data Pipelines with Apache Beam. Use a single programming model for both batch and stream data processing

Jan Lukavský

Building Business-Ready Generative AI Systems. Build Human-Centered AI Systems with Context Engineering, Agents, Memory, and LLMs for Enterprise

Denis Rothman

Building Data Science Applications with FastAPI. Develop, manage, and deploy efficient machine learning applications with Python

François Voron