Python

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

Hands-On Data Science with Anaconda. Utilize the right mix of tools to create high-performance data science applications

Yuxing Yan, James Yan

Hands-On Data Science with the Command Line. Automate everyday data science tasks using command-line tools

Jason Morris, Chris McCubbin, Raymond Page

Hands-On Data Structures and Algorithms with Python. Store, manipulate, and access data effectively and boost the performance of your applications - Third Edition

Dr. Basant Agarwal

Hands-On Data Structures and Algorithms with Python. Write complex and powerful code using the latest features of Python 3.7 - Second Edition

Dr. Basant Agarwal, Benjamin Baka

Hands-On Data Visualization with Bokeh. Interactive web plotting for Python using Bokeh

Kevin Jolly

Hands-On Deep Learning Algorithms with Python. Master deep learning algorithms with extensive math by implementing them using TensorFlow

Sudharsan Ravichandiran

Hands-On Deep Learning Architectures with Python. Create deep neural networks to solve computational problems using TensorFlow and Keras

Yuxi (Hayden) Liu, Saransh Mehta

Hands-On Deep Learning for Games. Leverage the power of neural networks and reinforcement learning to build intelligent games

Micheal Lanham

Hands-On Deep Learning for IoT. Train neural network models to develop intelligent IoT applications

Dr. Mohammad Abdur Razzaque , Md. Rezaul...

Hands-On Docker for Microservices with Python. Design, deploy, and operate a complex system with multiple microservices using Docker and Kubernetes

Jaime Buelta

Hands-On Ensemble Learning with Python. Build highly optimized ensemble machine learning models using scikit-learn and Keras

George Kyriakides, Konstantinos G. Margaritis