Python

Getting Started with Python. Understand key data structures and use Python in object-oriented programming

Fabrizio Romano, Benjamin Baka, Dusty Phillips

Getting Started with Qt 5. Introduction to programming Qt 5 for cross-platform application development

Benjamin Baka

Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python

Tyler Richards

Graph Machine Learning. Learn about the latest advancements in graph data to build robust machine learning models - Second Edition

Aldo Marzullo, Enrico Deusebio, Claudio Stamile

Hands-On Application Development with PyCharm. Accelerate your Python applications using practical coding techniques in PyCharm

Quan Nguyen

Hands-On Artificial Intelligence for Banking. A practical guide to building intelligent financial applications using machine learning techniques

Jeffrey Ng, Subhash Shah

Hands-On Artificial Intelligence for Cybersecurity. Implement smart AI systems for preventing cyber attacks and detecting threats and network anomalies

Alessandro Parisi

Hands-On Artificial Intelligence for IoT. Expert machine learning and deep learning techniques for developing smarter IoT systems - Second Edition

Dr. Amita Kapoor

Hands-On Big Data Analytics with PySpark. Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs

James Cross, Rudy Lai, Bartłomiej Potaczek

Hands-On Bitcoin Programming with Python. Build powerful online payment centric applications with Python

Harish Garg

Hands-On Blockchain for Python Developers. Empowering Python developers in the world of blockchain and smart contracts - Second Edition

Arjuna Sky Kok

Hands-On Blockchain for Python Developers. Gain blockchain programming skills to build decentralized applications using Python

Arjuna Sky Kok

Hands-On Computer Vision with TensorFlow 2. Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras

Benjamin Planche, Eliot Andres

Hands-On Data Analysis with Pandas. Efficiently perform data collection, wrangling, analysis, and visualization using Python

Stefanie Molin

Hands-On Data Preprocessing in Python. Learn how to effectively prepare data for successful data analytics

Roy Jafari

Hands-On Data Science for Marketing. Improve your marketing strategies with machine learning using Python and R

Yoon Hyup Hwang