Publisher: Packt Publishing
Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools. As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.

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Hands-On Data Structures and Algorithms with JavaScript. Write efficient code that is highly performant, scalable, and easily testable using JavaScript

Kashyap Mukkamala

Swift iOS Programming for Kids. Help your kids build simple and engaging applications with Swift 3.0

Steffen D. Sommer, Jim Campagno

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

Yoon Hyup Hwang

Python Deep Learning Cookbook. Over 75 practical recipes on neural network modeling, reinforcement learning, and transfer learning using Python

Indra den Bakker

Building RESTful Web Services with Java EE 8. Create modern RESTful web services with the Java EE 8 API

Mario-Leander Reimer

Azure Serverless Computing Cookbook. Build and monitor Azure applications hosted on serverless architecture using Azure Functions - Second Edition

Praveen Kumar Sreeram, Jason Marston

Machine Learning with Spark. Develop intelligent, distributed machine learning systems - Second Edition

Rajdeep Dua, Manpreet Singh Ghotra

Mastering Microservices with Java. Build enterprise microservices with Spring Boot 2.0, Spring Cloud, and Angular - Third Edition

Sourabh Sharma

Mastering Geospatial Analysis with Python. Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter

Silas Toms, Paul Crickard, Eric van Rees

Statistics for Data Science. Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks

James D. Miller

Python Web Scraping Cookbook. Over 90 proven recipes to get you scraping with Python, microservices, Docker, and AWS

Michael Heydt

Kali Linux Wireless Penetration Testing Beginner's Guide. Master wireless testing techniques to survey and attack wireless networks with Kali Linux, including the KRACK attack - Third Edition

Cameron Buchanan, Vivek Ramachandran

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

Java 9 Programming By Example. Your guide to software development

Peter Verhas

Beginning Swift. Master the fundamentals of programming in Swift 4

Rob Kerr, Kare Morstol

Applied Deep Learning with Python. Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions

Alex Galea, Luis Capelo

Building Microservices with .NET Core 2.0. Transitioning monolithic architectures using microservices with .NET Core 2.0 using C# 7.0 - Second Edition

Gaurav Aroraa

Hands-On Machine Learning with Azure. Build powerful models with cognitive machine learning and artificial intelligence

Thomas K Abraham, Parashar Shah, Jen Stirrup, Lauri Lehman, ...

Hands-On Recommendation Systems with Python. Start building powerful and personalized, recommendation engines with Python

Rounak Banik

Mastering Functional Programming. Functional techniques for sequential and parallel programming with Scala

Anatolii Kmetiuk

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

Alvaro Fuentes

Machine Learning With Go. Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More using the Go Programming Language

Daniel Whitenack

Hands-On Deep Learning for Images with TensorFlow. Build intelligent computer vision applications using TensorFlow and Keras

Will Ballard

R Data Visualization Recipes. A cookbook with 65+ data visualization recipes for smarter decision-making

Vitor Bianchi Lanzetta