Master the world of data with Python for Data Analysis, 3rd Edition! If you want to efficiently process, clean, and analyze datasets using Python, this guide is made for you.

The third edition of the bestseller by Wes McKinney, creator of the pandas project, offers a complete and practical introduction to the latest versions of Python tools for data science, including pandas, NumPy, and Jupyter. You will learn step by step how to use Jupyter Notebook for interactive computing, master basic and advanced NumPy features, and become proficient with the versatile pandas tools for loading, cleaning, and transforming data.

The book is packed with real-world examples that show how to solve a wide range of data analysis problems and will help you create informative visualizations using matplotlib. It will enable you to effectively analyze complex time series data, both regular and irregular. Data files and accompanying materials are available on GitHub, allowing you to work directly with practical examples.

Why choose this book?

• Authentic know-how from the founder of pandas, one of the most widely used libraries for data analysis in Python.
• Updated content for Python 3.10 and pandas 1.4, so you have access to the latest tools and features.
• Practical approach with detailed case studies and real-world examples.
• Suitable for beginners and advanced users-whether you are new to Python or transitioning into data science.
• Comprehensive coverage from the basics to advanced techniques in data analysis, visualization, and time series manipulation.

Key product features

• Detailed guide to the pandas, NumPy, and matplotlib libraries
• Explanation of Jupyter Notebook and IPython shell for interactive work
• Included examples and data files available for download on GitHub
• Description of modern techniques for cleaning, transforming, and merging datasets
• Practical tutorials on data visualization and working with time series