Data files and related material are available on GitHub. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It enables you to carry out entire data analysis workflows in Python without having to switch to a more domain specific language. pandas is a Python data analysis library that provides high-performance, user friendly data structures and data analysis tools for the Python programming language. Learn everything there is to know about pandas from absolute scratch Gain a deep and hands-on. Fast, flexible and powerful Python data analysis toolkit. More than 10 datasets & bonuses included What you’ll learn. Master the powerful pandas library to analyze, manipulate and visualize data.
You'll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. The Ultimate Pandas Bootcamp: Advanced Python Data Analysis. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python.
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