How to Think about Manipulating Data

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prerequisites
beginner Python • beginner pandas • basics of data structures
skills learned
organizing and visualizing data in a pandas DataFrame • reading, working, and experimenting with new Python libraries
Ana Bell
1 week · 4-6 hours per week · BEGINNER
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Look inside
In this quick liveProject, you’ll use the pandas library to read a table from a Wikipedia page into a DataFrame, clean and arrange the data into columns, and extract useful information quickly to reveal data insights.
This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Ana Bell
Dr. Ana Bell is a lecturer at the Massachusetts Institute of Technology in the Electrical Engineering and Computer Science department. She has co-lectured two introductory computer science courses in Python for the past five years. She was first introduced to Python in graduate school at Princeton University, where she started using it to parse and reformat large files in her research and found it to be an intuitive language to learn and use. Since then, she's used it for work and personal tasks, and most recently started tinkering with various data science libraries.

prerequisites

These liveProjects are for beginner Python programmers with a basic mastery of the language, and an understanding of common Python libraries. To begin these liveProjects, you will need to be familiar with:

TOOLS
  • Basics of Python
  • Basics of pandas
TECHNIQUES
  • Basic data structures and algorithms
  • Recursive functions

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