Use Python for data analysis. Pdf__python

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Book Introduction the data analysis tools from the Pandas Library start using high-performance tools to load, clean, transform, merge, and reshape data, using matpiotlib to create scatter graphs and static or interactive visualization results Using Pandas's groupby function to slice, dice and summarize the dataset, and to process all kinds of time series data. editors recommend editing "data analysis using Python" for analysts who have just come in contact with Python and Python programmers who have just come in contact with scientific computing. Will ipython this interactive shell as your primary development environment. The author introduces editor Wesmckinney, senior data analyst, and has in-depth research on various Python libraries, and has accumulated rich experience in a lot of practice. A number of classic articles related to Python data analysis, which are being reproduced by various technical communities, are one of the most recognized authoritative figures in the Python and open source technology community. Developed a well-known open source Python library for data analysis ――pandas, widely praised by users. [1]

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