Автор: Arun Kumar
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 263
Язык: английский
Формат: pdf, epub
Размер: 44.5 MB
Pandas has became an important and a must tool for data analysis. This book covers various scenarios that occurs in real life data and thus helps reader to relate the issues directly and apply the solution. The book has been developed in such a way that everyone can easily understand and run through the concepts. This book has been created for both beginners and experienced ones as the beginners can learn the technology from scratch and experienced ones can brush their concepts and can relate their issues and understand the concept in depth.
Today, data is the biggest wealth (after health) as it acts as fuel to many algorithms. Artificial intelligence and data sciences are the biggest examples of this.
To use this data in the algorithm, need comes to handle this data and manage accordingly. Data analysis solves a huge part of the problem. But how to handle this? The answer lies in one of the most used Python libraries for data analysis named Pandas.
Pandas is mainly used to deal with sequential and tabular data to manage, analyze and manipulate data in convenient and efficient manner. It is built on top of the NumPy library and has two primary data structures Series (1-dimensional) and DataFrame (2-dimensional). Pandas generally converts your data (from csv, html, excel, etc.) into a two-dimensional data structure (DataFrame). It is size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). The data in DataFrame is then manipulated as per the need, analyzed and then stored back into some form (like csv, excel etc.).
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