Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.
At the heart of our business is a unique network of expert pioneers and practitioners who share their knowledge through the O’Reilly learning platform and our books—which have been heralded for decades as the definitive way to learn the technologies that are shaping the future. So individuals, teams, and organizations learn the tools, best practices, and emerging trends that will transform their industries.
Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.