Step-by-step instructions for working with large datasets enable hands-on learning and skill development
Covers Python libraries such as pandas, NumPy, and matplotlib for comprehensive data analysis
Business-focused examples help readers apply data analysis techniques to real-world scenarios
Clear explanations of data cleaning, visualization, and interpretation improve analytical thinking
Summary Modern data science solutions need to be clean, easy to read, and scalable. In Mastering Large Datasets with Python, author J.T. Wolohan teaches you how to take a small project and scale it up using a functionally influenced approach to Python coding. You’ll explore methods and built-in Python tools that lend themselves to clarity
