Despite the explosive growth of data in industry after industry, learning and accessing data analysis tools has remained a challenge. This pragmatic guide demonstrates the nuts and bolts of manipulating, processing, cleaning, and crunching data with Python. It also serves as a modern introduction to scientific computing in Python for data-intensive applications.
