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Abstract

Modern life challenges require fast-paced solutions. These days, we need to evaluate tons of information in real time. Python is fast, but if you need to go faster, there is Pandas. Pandas is a core Python library for accelerated data manipulation. Originally developed for Wall Street professionals, it quickly became popular among people who crunch numbers, analyze big data, and simply want to switch from spreadsheets to the powerful and more efficient Python programming language. The name Pandas stands for panel data. Panel data is an econometric term for multidimensional data set. Pandas has many useful functions to make a data analysis process more efficient.

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Notes

  1. 1.

    https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html

  2. 2.

    https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.apply.html

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© 2021 The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature

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Yudin, A. (2021). Data Analysis with Pandas. In: Basic Python for Data Management, Finance, and Marketing. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-7189-6_3

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