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Programming For Humanists Spring 2017 Python

Exploring Programming For Humanists Spring 2017 Python

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  • In this video, we demonstrate how to efficiently query datasets in data science. Whether you're working with large databases or ...
  • In this video, we take structured data, such as student IDs and ages, and convert it into a DataFrame for easier analysis and ...
  • In this video, we create a new column that multiplies the values of an existing column and stores the result in a new column.
  • In this video, we use a simple method to calculate and display dataset dimensions—an essential step in understanding and ...
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In-Depth Information on Programming For Humanists Spring 2017 Python

Bryan Tarpley, the instructor for the upcoming In this video, we demonstrate how to change the data type of a 'grade' column in a DataFrame from floats to integers. In this video, we will explore how to efficiently rename columns in a DataFrame, tailored for students and enthusiasts in the field of ... This video demonstrates how to manipulate data within a DataFrame by specifically focusing on salary adjustments—where we'll ...

That wraps up our extensive overview of Programming For Humanists Spring 2017 Python.

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