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ACCESS       Name  City  Age  Score
                                                         101  Naresh  Gujarat  41  88.0
                                              MODIFY     102  Aryan  Chennai  28  79.0
                                                         103  Pawan  Mumbai  33  01.0
                                                                Jaipur
                                                ADD      104 Anirudh  Gurgaon  34 35  80.0
                                                            Karan
                                                                       68.0
                                                         105
                                               SORT      106  Dinesh  Delhi  31  61.0
                                               FILTER
                                               DELETE





                 You can install Pandas using pip. For installing Pandas, you need to open your terminal or command prompt and run
                 the following command:

                                                             pip install pandas


                 Pandas Library in Artificial Intelligence
                 The Pandas library plays a crucial role in Artificial Intelligence and data science workflows. It provides powerful and flexible
                 tools for data manipulation and analysis, which are essential for preparing and exploring datasets used in AI models.

                 Let us understand why and where we can use the Pandas library in Artificial Intelligence with the help of an example.
                 Consider a dataset containing information about student performance, including grades, attendance, extracurricular
                 activities, and demographic details. Pandas can be leveraged to import the dataset, compute statistical summaries, and
                 conduct in-depth analyses to understand the factors influencing academic success.
                 Pandas' powerful data manipulation capabilities enable educators and administrators to identify trends, correlations,
                 and patterns within the student body. By examining variables such as attendance rates, participation in extracurricular
                 activities, and socio-economic backgrounds, schools can gain insights into factors affecting student achievement and
                 tailor interventions to support student success.

                 Pandas provides powerful capabilities for data manipulation and aggregation by simplifying the execution of complex
                 analyses. These capabilities play  a  vital role in AI and  data-driven  decision-making, allowing  businesses  to  derive
                 actionable insights from their data with ease.


                 Data Structure of Pandas
                 Pandas  provides two primary data  structures: Series and  DataFrame,  which  are used to store and  manipulate data
                 efficiently.

                 Series
                 Series represents a one-dimensional labelled array capable of holding various datatypes in a series (integer, float, string,
                 Python objects, etc.). Each element in a series has an index label, which can be used to access the elements. By default,
                 Series have numeric data labels starting from zero, with each value associated with an index label.
                                                           Index          Data
                                                             0        Class 12

                                                             1        Class 11
                                                             2        Class 10
                                                             3        Class 9

                                                             4        Class 8

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