Data science problem/exercise need help to solve it
Budget: $30 – $250 USD
Are you familiar with the following concepts : SonarQube , Decorator, Cookiecutter, unit test via fake/mock? If yes, you can definitively help me out solve my problem.
Please find below the task that need to be performed :
* Build badge and SonarQube links are updated and functional
* function_timer decorator is implemented correctly
* blob_file context manager is implemented correctly
* Library semantic versioning is implemented correctly
* Appropriate tests have been implemented to cover defined functions & classes
* Git commits are clear and well structured
* Code is pythonic, has no major SonarQube issues and well documented
* GitHub Action test is implemented for Python v3.7, v3.8 & v3.9
My deadline is pretty short : Wednesday evening CET time
Looking forward to receive your proposal
Thank you
Thibault
Please find below the task that need to be performed :
* Build badge and SonarQube links are updated and functional
* function_timer decorator is implemented correctly
* blob_file context manager is implemented correctly
* Library semantic versioning is implemented correctly
* Appropriate tests have been implemented to cover defined functions & classes
* Git commits are clear and well structured
* Code is pythonic, has no major SonarQube issues and well documented
* GitHub Action test is implemented for Python v3.7, v3.8 & v3.9
My deadline is pretty short : Wednesday evening CET time
Looking forward to receive your proposal
Thank you
Thibault