Python for Data Analysis 3e: Data Wrangling with pandas, NumPy, and Jupyter

The third edition of "Python for Data Analysis" is a hands-on guide to manipulating, processing, cleaning, and crunching datasets in Python. It is updated for Python 3.10 and pandas 1.4 and includes practical case studies to solve data analysis problems effectively. The book is written by Wes McKinney, the creator of the Python pandas project, and is ideal for analysts new to Python and Python programmers new to data science and scientific computing.

Format: Paperback / softback
Length: 550 pages
Publication date: 31 August 2022
Publisher: O'Reilly Media

Get ready to unlock the full potential of your data with the ultimate handbook for manipulating, processing, cleaning, and crunching datasets in Python! Updated for Python 3.10 and pandas 1.4, this third edition is a comprehensive guide that will take you on a journey of data analysis mastery.

Packed with practical case studies, this hands-on guide will show you how to solve a wide range of data analysis problems with efficiency and effectiveness. Whether you're a novice analyst or a seasoned Python programmer, this book is your gateway to the world of data science tools in Python.

Written by the creator of the Python pandas project, Wes McKinney, this book offers a practical, modern introduction to data science techniques in Python. It's ideal for analysts new to Python, as well as Python programmers new to data science and scientific computing.

To enhance your learning experience, this handbook provides access to data files and related material on GitHub. You'll be able to explore and experiment with the code examples in real-world scenarios using the Jupyter notebook and IPython shell.

Get started with the basics of NumPy and learn advanced features to manipulate and analyze your data with ease. Dive into the pandas library, where you'll discover powerful tools for loading, cleaning, transforming, merging, and reshaping data. Create informative visualizations with matplotlib and apply the pandas groupby facility to slice, dice, and summarize datasets.

But that's not all! This handbook takes you deep into the realm of regular and irregular time series data analysis. Learn how to solve real-world data analysis problems with thorough, detailed examples that will guide you every step of the way.

So, whether you're working with large datasets or tackling complex analysis tasks, this handbook has got you covered. Unleash the power of your data and take your data science skills to new heights with the definitive guide for manipulating, processing, cleaning, and crunching datasets in Python!

ISBN-13: 9781098104030
Edition number: 3 ed