Pandas is quickly becoming one of the most widely used Python data analysis libraries. Boris Paskhaver, an author of Pandas In Action, provides a simple and easy introduction to this powerful tool that will help you take the next step in your data science career. Pandas is a simple tool that allows you to efficiently sort, analyze, and filter almost any kind of data.
Information about the technology
Python data analysis doesn't need to be difficult. You can learn pandas if you know how to use a spreadsheet. Although its grid-style layouts might remind you of Excel's, pandas are much more flexible and powerful. This Python library can quickly perform operations on millions upon rows and interfaces with other tools within the Python data ecosystem. This is a great way to improve your data skills.
About the book
Pandas introduce Python-based data analysis with the incredible panda's library. Learn how to automate repetitive tasks and gain deeper insight into your data than would be possible in Excel. Each chapter is a complete tutorial. These downloadable datasets are realistic and can be downloaded to learn from the messy data you will find in the real world.
Import data, identify problems with data structures and optimize them to increase efficiency.
A dataset and its subsets can be sorted, filtered, pivoted, and conclusions are drawn.
You can identify trends in text-based and data-based data
You can organize, group, merge and join different datasets.
To store multiple DataFrames, use a GroupBy object
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