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Deconstruction of a computational problem... 3 algorithms to find the best possible combination of shares for investors (based on list of shares) while making use of dynamic programming.

Python 100.00%
algorithms big-o-notation big-o-notation-algorithm big-o-performance computational-problems dynamic-programming python time-complexity time-complexity-analysis

7th-project-solve-problems-using-algorithms's Introduction

Introduction

This is the 7th project for the Python path of Openclassrooms. The goal is to design two algorithms that will maximize clients profits after two years of investment:

  • Bruteforce version
  • Optimized version

The algorithms must suggest a list of the most profit-yielding shares we should buy while it complies with the following limitations:

  • Each share can only be bought once.
  • We cannot buy a fraction of a share.
  • We can spend at most 500 euros per client.

Required Setup to run the program:

  1. Python version 3.9.5 or higher must be installed.

How to run the program:

  1. Open your terminal
  2. Navigate to the directory that contains the main.py
  3. Run the command: python main.py
  4. Follow the instructions

Notes

  • The program will create folders and files automatically

Technologies

  • Python version 3.9.5

7th-project-solve-problems-using-algorithms's People

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