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Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. In this Python tutorial, we will take an IPL dataset and analyze the metrics of different teams in IPL. We will also be using libraries such as pandas, matplotlib, and seaborn to perform exploratory data analysis on top of this IPL data.

In this tutorial, you will be working on an end-to-end project to analyze data for IPL using the python library and then will do an exploratory data analysis on that dataset. This tutorial also enables you to learn an exciting application of Python. To read the data, We will use the Pandas library and for visualization purposes, we will use Matplotlib and Seaborn libraries. By visualizing the data, it becomes a lot easier to understand and analyze the data.

We can also draw very interesting insights from it and make an interesting project out of it. Through this, you can hone your Machine Learning and Python skills. You’ll get to know about various libraries and functions. To have a good grasp of Python, its various libraries, and Data Visualization and Analysis, Do watch the tutorial till the end.

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