Wydawca: 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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Rust High Performance. Learn to skyrocket the performance of your Rust applications

Iban Eguia Moraza

Learning Robotic Process Automation. Create Software robots and automate business processes with the leading RPA tool – UiPath

Alok Mani Tripathi

Neural Networks with Keras Cookbook. Over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots

V Kishore Ayyadevara

Cloud Native Python. Build and deploy resilent applications on the cloud using microservices, AWS, Azure and more

Manish Sethi

Python Deep Learning Projects. 9 projects demystifying neural network and deep learning models for building intelligent systems

Matthew Lamons, Rahul Kumar, Abhishek Nagaraja

Implementing Cisco UCS Solutions. Deploy, manage, and automate your datacenter - Second Edition

Anuj Modi, Prasenjit Sarkar

Mastering Arduino. A project-based approach to electronics, circuits, and programming

Jon Hoffman

Practical Security Automation and Testing. Tools and techniques for automated security scanning and testing in DevSecOps

Tony Hsiang-Chih Hsu

Java 9 High Performance. Practical techniques and best practices for optimizing Java applications through concurrency, reactive programming, and more

Mayur Ramgir, Nick Samoylov

Learning Malware Analysis. Explore the concepts, tools, and techniques to analyze and investigate Windows malware

Monnappa K A

Machine Learning with scikit-learn Quick Start Guide. Classification, regression, and clustering techniques in Python

Kevin Jolly

Practical Predictive Analytics. Analyse current and historical data to predict future trends using R, Spark, and more

Ralph Winters

Raspberry Pi 3 Home Automation Projects. Bringing your home to life using Raspberry Pi 3, Arduino, and ESP8266

Shantanu Bhadoria, Ruben Oliva Ramos

Responsive Web Design by Example. Embrace responsive design with HTML5, CSS3, JavaScript, jQuery and Bootstrap 4

Frahaan Hussain

Python Machine Learning By Example. Implement machine learning algorithms and techniques to build intelligent systems - Second Edition

Yuxi (Hayden) Liu

Raspberry Pi 3 Projects for Java Programmers. Get the most out of your Raspberry Pi 3 with Java

John Sirach, Rajdeep Chandra, Pradeeka Seneviratne