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Python for Data Analysis

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.

"Many new Python users have struggled due to the lack of comprehensive learning resources for the central tools in the stack," says author Wes McKinney, citing NumPy, IPython, pandas, matplotlib, and others. "This book is an approachable introduction for new users but holds value for experienced Python programmers, too..."

Continue reading: O'Reilly Publishes Python for Data Analysis: Agile Tools for Real World Data in News. - Comments (Reply To Topic) -

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