In this short tutorial, you will get up and running with Python for data analysis using the Pandas library.
The Pandas library offers data structures and operations for manipulating numerical tables and time series. Pandas is a great asset and very versatile when it comes to data analysis since it allows importing data from various file formats such as comma-separated values(CSV), JSON, SQL, Microsoft Excel.
You will learn how to read CSV data in Python, clean them, extract portions of data, perform statistics and generate image graphs.
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