Description
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’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.
Use the IPython shell and Jupiter notebook for exploratory computing
Learn basic and advanced features in NumPy (Numerical Python)
Get started with data analysis tools in the pandas library
Use flexible tools to load, clean, transform, merge, and reshape data
Create informative visualizations with matplotlib
Apply the pandas group by facility to slice, dice, and summarize datasets
Analyze and manipulate regular and irregular time series data
Learn how to solve real-world data analysis problems with thorough, detailed examples.
Details
Unlock the power of data analysis with Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython. Whether you're new to Python or a seasoned programmer, this second edition provides complete instructions and practical case studies to help you effectively manipulate, process, clean, and crunch datasets using the latest versions of pandas, NumPy, IPython, and Jupiter. With the guidance of Wes McKinney, the creator of the Python pandas project, you'll gain the skills needed to tackle a broad range of data analysis problems with ease.
Discover the endless possibilities of data manipulation in Python. From loading and transforming data to creating informative visualizations, this book covers it all. You'll learn how to use the IPython shell and Jupiter notebook for exploratory computing, harness the power of NumPy for basic and advanced features, and leverage the flexibility of the pandas library to load, clean, transform, merge, and reshape data. With a focus on real-world examples, you'll develop the skills necessary to analyze and manipulate both regular and irregular time series data.
Don't miss out on this practical, modern introduction to data science tools in Python. Whether you're an analyst looking to expand your Python skills or a programmer new to data science and scientific computing, this book is the ultimate resource for mastering data analysis. Visit our website today and take your first step towards becoming a data analysis expert with Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython.
Click here to purchase Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
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