Python para análisis de datos

Get the definitive manual for manipulating, processing, cleaning, and constraining data sets in Python. Updated for Python 3.10 and pandas 1.4.0, this third edition of 'Python for data analysis. Data manipulation with pandas, NyumPy and Jupyter' is full of case studies, which allow you to find out how to solve a wide variety of data problems in an effective way. With their help you will learn about and learn the most recent versions of pandas, NumPy, IPython and Jupyter. Written by Wes McKinney, the creator of the pandas project, 'Python for Data Analysis' is a hands-on, modern introduction to the data science tools that Python offers. It is ideal for analysts new to Python and for programmers who want to get up to speed in data science and scientific computing or computer science. GitHub hosts the data files used in the book and other associated material.