How to Think about Scheduling Tasks

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prerequisites
beginner Python • basics of data structures, branching constructs, and looping structures • basics of recursion
skills learned
implementing an optimization algorithm • recursion method to call a function • writing code to fit certain constraints • using brute force to find a solution
Ana Bell
1 week · 3-5 hours per week · BEGINNER
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In this quick liveProject, you’ll develop a simple task scheduler app. Your challenges will include coding functionality that will arrange a day’s tasks to either minimize time left over during a day, or to provide the greatest variety of tasks during a day.
This project is a part of the series Think Computationally with Five Small Python Projects.
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
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