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    Learn how to use the "case when" operation in Pandas for efficient data analysis. Get a comprehensive introduction to this powerful tool for applying conditional statements to data frames and categorizing data based on certain conditions.
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    Discover the various methods for getting the row index in a Pandas data frame. Learn how to use the df.index, df.index.get_loc(), and df.loc[] methods to efficiently retrieve the index of specific rows in your data.
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    Learn how to use the json_normalize function in Pandas to convert nested JSON data into a flat table. Discover the steps for importing the data, normalizing the data, and specifying the path to the JSON data to be normalized.
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    Arrays are a fundamental concept in computer programming, allowing us to store and manage multiple values in a single data structure. In C#, arrays can contain not only basic data types such as integers or strings, but also objects.