Lists

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prerequisites
Python Shell
skills learned
list comprehensions • list slicing • ways to sort a list
Naomi Ceder
1 week · 1-3 hours per week · INTERMEDIATE
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Look inside

In this liveProject, you’ll utilize Python to create new data reports from a centralized system. You’ll work with raw data about the sales of various products, and massage it into a different format from which subreports can be extracted. To do this, you’ll make use of lists—one of the most common data structures in Python that are at the heart of data processing.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Naomi Ceder
Naomi Ceder is the former chair of the Python Software Foundation. She has been learning, using, and teaching Python since 2001.

prerequisites

This liveProject is for both new and experienced Python coders looking to refine their skills with the language. To begin this liveProject, you will need to be familiar with the following:


TOOLS
  • A Python “shell” such as Jupyter Notebook
TECHNIQUES
  • Create list objects
  • Iterate over lists using for loops

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