Functions as Objects you own this product

prerequisites
Python shell
skills learned
functions as dictionary values • mutable objects as default function parameters • how to use and create decorators
Naomi Ceder
1 week · 1-3 hours per week · INTERMEDIATE
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In this liveProject, you’ll create Python functions for specific data cleaning operations to help import product data from a legacy system into a new pipeline. You’ll work with a delimited text file with unhandy export conventions, and utilize functions to clean and convert fields for cleaner and seamless data transfer. You’ll even break your new operations down into separate functions so that you can easily reuse your code at a later date.

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
  • Define a function
  • Understand how to use function parameters and default parameters
  • Use a Python command shell or Jupyter Notebook

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