Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
by Wes Mckinney
Python for Data Analysis is a practical introduction to data wrangling with Python. Covering pandas, NumPy, and IPython, it focuses on the tools and techniques used to organize and work with data, making it a useful resource for readers building a foundation in Python-based data analysis.
About This Book
Python for Data Analysis focuses on working with data using Python and three central tools: pandas, NumPy, and IPython.
The book introduces data wrangling as a core part of the analysis process, helping readers organize, transform, and prepare data for further work.
With its emphasis on widely used Python libraries and an interactive computing environment, it serves as a practical resource for developing data analysis skills.
It is suited to readers seeking a focused introduction to Python-based data analysis and the tools that support it.
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