Pandas: powerful Python data analysis toolkit


Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way toward this goal. Pandas is well suited for many different kinds of data: 
Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet 
Ordered and unordered (not necessarily fixed-frequency) time series data. 
Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels 
Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure

Если вам понравилась эта книга поделитесь ею с друзьями, тем самым вы помогаете нам развиваться и добавлять всё больше интересных и нужным вам книг!