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William Ayd, Matthew Harrison, Wes McKinney
Unlock the full power of pandas 2.x with this hands-on cookbook, designed for Python developers, data analysts, and data scientists who need fast, efficient solutions for real-world data challenges. This book provides practical, ready-to-use recipes to streamline your workflow. With step-by-step guidance, you'll master data wrangling, visualization, performance optimization, and scalable data analysis using pandas’ most powerful features. From importing and merging large datasets to advanced time series analysis and SQL-like operations, this cookbook equips you with the tools to analyze, manipulate, and visualize data like a pro. Learn how to boost efficiency, optimize memory usage, and seamlessly integrate pandas with NumPy, PyArrow, and databases. This book will help you transform raw data into actionable insights with ease.*Email sign-up and proof of purchase required
Manu Joseph, Jeffrey Tackes, Christoph Bergmeir
Predicting the future, whether it's market trends, energy demand, or website traffic, has never been more crucial. This practical, hands-on guide empowers you to build and deploy powerful time series forecasting models. Whether you’re working with traditional statistical methods or cutting-edge deep learning architectures, this book provides structured learning and best practices for both.Starting with the basics, this data science book introduces fundamental time series concepts, such as ARIMA and exponential smoothing, before gradually progressing to advanced topics, such as machine learning for time series, deep neural networks, and transformers. As part of your fundamentals training, you’ll learn preprocessing, feature engineering, and model evaluation. As you progress, you’ll also explore global forecasting models, ensemble methods, and probabilistic forecasting techniques.This new edition goes deeper into transformer architectures and probabilistic forecasting, including new content on the latest time series models, conformal prediction, and hierarchical forecasting. Whether you seek advanced deep learning insights or specialized architecture implementations, this edition provides practical strategies and new content to elevate your forecasting skills.*Email sign-up and proof of purchase required
React Key Concepts. An in-depth guide to React's core features - Second Edition
Maximilian Schwarzmüller
Maximilian Schwarzmüller is a bestselling instructor who has helped more than three million students worldwide learn how to code. His bestselling React video course, “React – The Complete Guide”, has over nine hundred thousand students on Udemy.Max has written this quick-start reference that distills the core concepts of React. Simple explanations, relevant examples, and step-by-step derivations make this guide the ideal resource for busy developers. In this second edition, Max guides you through changes brought by React 19, including the new use() hook, form actions, and how to think about React on the server.This book will support you through your next React projects in giving you a behind-the-scenes understanding of the framework – whether you've just finished Max's video course and are looking for a handy reference, or you’re using a variety of other learning materials and need a single study guide to bring everything together.You’ll find full solutions to all end-of-chapter quizzes and exercises in the book’s GitHub repository.