Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython (Google eBook)
Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries youíll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.
Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. Itís ideal for analysts new to Python and for Python programmers new to scientific computing.
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Review: Python for Data AnalysisUser Review - Michael - Goodreads
I've used Python for a few years and have recently started implementing it at work. We used to have Matlab for basic scripting, plotting, and analysis and recently dropped it due to their ridiculous ... Read full review
Review: Python for Data AnalysisUser Review - James Williams - Goodreads
In my office, we spend a lot of time in the database. As such, we tend to become fairly adept at analyzing data with SQL: join some tables on interesting columns, group by other interesting columns ... Read full review
An Interactive Computing and Development Environment
Arrays and Vectorized Computation
Chapter†5†Getting Started with pandas
Chapter†6†Data Loading Storage and File Formats
Clean Transform Merge Reshape
Chapter†8†Plotting and Visualization