Python

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

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

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

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 Larew, ...

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

Jan Lukavský

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

François Voron