Python for Data Analysis
Wes McKinneyDespite the explosive growth of data in industry after industry, learning and accessing data analysis tools has remained a challenge. This pragmatic guide demonstrates the nuts and bolts of manipulating, processing, cleaning, and crunching data with Python. It also serves as a modern introduction to scientific computing in Python for data-intensive applications.
Categories:
Year:
2012
Publisher:
O'Reilly Media
Language:
english
Pages:
463
ISBN 10:
1449319785
ISBN 13:
9781449319786
File:
EPUB, 7.31 MB
IPFS:
,
english, 2012