Python.Data.Analysis (packt,2014) PDF

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Finding great data analysts is difficult. Despite the explosive growth of data in industries ranging from manufacturing and retail to high technology, finance, and Healthcare, learning and accessing data analysis tools have remained a challenge. This pragmatic guide would help train your in one's important tools in the Field-python. Filled with practical case studies, Python for Data analysis 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. Learn about the growing field of data for an expert in the community. Learn everything you need-to-start doing real data analysis work with Python Get the most complete instruction on the BASI CS of the "Modern scientific Python platform" learn from a insider who builds tools for the scientific stacks Get an Excel Lent introduction for novices and a wealth of the advanced methodS for experienced analysts
Wes McKinney, a senior data analysis expert, has deep research on various Python libraries (including NumPy, pandas, matplotlib, Ipython, etc.), and has accumulated rich experience in a great deal of practice. A large number of classic articles related to Python data analysis are being reproduced by various technology communities and are recognized as one of the authoritative figures in Python and the open source technology community. Developed the well-known open source Python library--pandas for data analysis, which has been widely praised by users. Prior to creating Lambda Foundry, a company dedicated to enterprise data analysis, he was a quantitative analyst at AQR Capital Management.
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Python.Data.Analysis (packt,2014) PDF