Pandas Tutorial | Pandas Dataframe Explained | Intellipaat
59This video will give you a clear view of what Pandas is? Additionally, it will get you through operations in Pandas, Hands On Data Analysis on Data set.
☑️What is Pandas?
When it comes to high-performance data processing in Python, Pandas is referred to as an open-source library. The phrase "Panel Data," which refers to an econometric analysis of multidimensional data, is where the name "Pandas" originates. Wes McKinney created it in 2008 and it is used for Python data analysis.
◼ It comes with a quick and effective DataFrame object with both standard and custom indexing.
It is used to reshape and pivot data collections.
◼ For aggregations and transformations, group by data.
◼ It is utilized for data integration and data alignment.
◼ Provide Time Series functionality.
☑️Operations in Pandas
There are a number of operations that can be performed in Pandas. They are Row and Column Operation to select the names of rows and columns, Filter Data to simply filter the data, String Operation to make certain customizations in the string, Count Operation to count total number of occurrences and many more.
In a range of roles where being able to deal with data and extract insights may be very valuable, data analysis has become a fundamental ability. You will learn how to analyze your data, begin using machine learning, and efficiently use Python libraries frequently used in data science by reading Hands-On Data Analysis with Pandas.
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