<p>From fundamental techniques to advanced strategies for handling big data, visualization, and more, this book equips you with skills to excel in real-world data analysis projects.</p><p>Bonus: Free PDF copy + join our Discord + code files</p><p>Key Features: </p><p>- This book targets features in pandas 2.x and beyond</p><p>- Practical, easy to implement recipes for quick solutions to common problems in data using pandas</p><p>- Master the fundamentals of pandas to quickly begin exploring any dataset</p><p>Book Description: </p><p>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.</p><p>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.</p><p>What You Will Learn: </p><p>- The pandas type system and how to best navigate it</p><p>- Import/export DataFrames to/from common data formats</p><p>- Data exploration in pandas through dozens of practice problems</p><p>- Grouping, aggregation, transformation, reshaping, and filtering data</p><p>- Merge data from different sources through pandas SQL-like operations</p><p>- Leverage the robust pandas time series functionality in advanced analyses</p><p>- Scale pandas operations to get the most out of your system</p><p>- The large ecosystem that pandas can coordinate with and supplement</p><p>Who this book