Algorithm Projects with Python

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This project is part of the liveProject series Six Small Algorithm Projects with Python
prerequisites
basic Python, Jupyter Notebook, and tkinter
skills learned
understanding recursion • searching and traversing trees • adding and removing values from sorted binary trees
Rod Stephens
1 week · 8-10 hours per week · BEGINNER
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Look inside

In this liveProject, you’ll use Python and algorithms that work on binary and N-ary trees to sort data and draw organizational charts. You’ll store, find, and remove data in sorted trees, and you’ll experiment with different layout approaches for organizational charts.

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

book resources

When you start your liveProject, you get full access to the following books for 90 days.

project author

Rod Stephens

Rod Stephens started out as a mathematician but discovered the fun of algorithms and has been programming ever since. Rod was a Microsoft Visual Basic Most Valuable Professional (MVP) for 15 years, has spoken to user groups and conferences, and has taught introductory programming courses. He has written more than 35 books including Essential Algorithms: A Practical Approach to Computer Algorithms Using Python and C# and Beginning Software Engineering, both of which include material related to this series of liveProjects.

prerequisites

This liveProject is for Python programmers interested in experimenting and expanding their knowledge of algorithms. To begin this liveProject, you will need to be familiar with the following:


TOOLS
  • Basics of Python
  • Basics of Jupyter Notebook
  • Basics of tkinter
TECHNIQUES
  • Create a class
  • Define __init__ and __str__ methods
  • Work with lists and iterate through them
  • Create a tkinter interface

you will learn

In this liveProject, you’ll master algorithmic techniques for drawing charts that can be easily used to draw family trees, hierarchical component diagrams, and other tree structures.


  • Classes that you can use to build linked data structures such as trees and networks
  • Recursion
  • Searching and traversing trees
  • Adding and removing values from sorted binary trees

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book resources
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.

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