Packt Publishing

Getting Started with Google BERT: Build and train state-of-the-art natural language processing models using BERT

Polished Ruby Programming. Build better software with more intuitive, maintainable, scalable, and high-performance Ruby code

Jeremy Evans

HashiCorp Infrastructure Automation Certification Guide: Pass the Terraform Associate exam and manage IaC to scale across AWS, Azure, and Google Cloud

Cleaning Data for Effective Data Science: Doing the other 80% of the work with Python, R, and command-line tools

Hands-on Kubernetes on Azure: Use Azure Kubernetes Service to automate management, scaling, and deployment of containerized applications, 3rd Edition

Interactive Dashboards and Data Apps with Plotly and Dash: Harness the power of a fully fledged frontend web framework in Python – no JavaScript required

Teaching with Google Classroom: Save time and stay organized while delivering online and in-person classes, 2nd Edition

Modern API Development with Spring and Spring Boot: Design highly scalable and maintainable APIs with REST, gRPC, GraphQL, and the reactive paradigm

TensorFlow 2.0 Computer Vision Cookbook: Implement machine learning solutions to overcome various computer vision challenges

Hands-On Data Analysis with Pandas: A Python data science handbook for data collection, wrangling, analysis, and visualization

Expert Python Programming: Master Python by learning the best coding practices and advanced programming concepts, 4th Edition

Python Natural Language Processing Cookbook: Over 50 recipes to understand, analyze, and generate text for implementing language processing tasks

Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition

Stefan Jansen

LLVM Techniques, Tips, and Best Practices Clang and Middle-End Libraries: Design powerful and reliable compilers using the latest libraries and tools from LLVM

Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications

Modern C++ Programming Cookbook: Master C++ core language and standard library features, with over 100 recipes, updated to C++20, 2nd Edition

Neural Network Projects with Python: The ultimate guide to using Python to explore the true power of neural networks through six projects

Machine Learning with R: Expert techniques for predictive modeling, 3rd Edition

Selenium WebDriver 3 Practical Guide: End-to-end automation testing for web and mobile browsers with Selenium WebDriver, 2nd Edition

Unmesh Gundecha, Satya Avasarala

Selenium Framework Design in Data-Driven Testing: Build data-driven test frameworks using Selenium WebDriver, AppiumDriver, Java, and TestNG

Carl Cocchiaro

Getting Started with Tableau 2018.x: Get up and running with the new features of Tableau 2018 for impactful data visualization

Tristan Guillevin

Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Keras

Dipanjan Sarkar, Raghav Bali, Tamoghna Ghosh

Mastering Machine Learning for Penetration Testing. Develop an extensive skill set to break self-learning systems using Python

Chiheb Chebbi

Domain-Driven Design in PHP

Carlos Buenosvinos, Christian Soronellas, Keyvan Akbary