Skip to content
OnData.blog

OnData.blog

Menu

  • Articles
  • About & Contact
  • Linkedin
  • Facebook
  • twitter
  • RSS

epoch

Nine Circles of Hell: time in Python

Nine Circles of Hell: time in Python

Python is powerful, concise, and robust. Simply great. Except…when you work with time. Coping with mysterious errors in transforming dates and timestamps took me hours and days of frustration. I was like, ‘why is Python doing it to me’? I

Pawel Plaszczak April 15, 2021April 16, 2021 Articles No Comments Read more

Recent Posts

  • Porting PyTorch neural network to Amazon AWS June 30, 2022
  • Porting pyTorch cloud detection model to Amazon AWS S3 June 17, 2022
  • pushing data to AWS. SageMaker sucks. So does Anaconda June 14, 2022
  • Linear Regression: Killer App with 19-century maths January 19, 2022
  • Democratization of statistics: Chi2 for non-experts January 12, 2022
  • An approach to categorize multi-lingual phrases December 15, 2021
  • The implications of Scikit-learn bug #21455 November 29, 2021
  • Your model may be inaccurate November 25, 2021
  • Answering Why (with Chi-Square) November 19, 2021
  • What makes Data Quality so difficult November 8, 2021
Copyright © 2023 OnData.blog. Powered by WordPress. Theme: Spacious by ThemeGrill.