15 common mistakes data scientists make in Python (and how to fix them)

Posted by365Data SciencePosted inData Science News
Writing Python code that works for your data science project and performs the task you expect is one thing. Ensuring your code is readable by others (including your future self), reproducible, and efficient are entirely different challenges that can be addressed by minimizing common bad practices in your development.

Originally from KDnuggets https://ift.tt/3uQflXD

source https://365datascience.weebly.com/the-best-data-science-blog-2020/15-common-mistakes-data-scientists-make-in-python-and-how-to-fix-them

Published by 365Data Science

365 Data Science is an online educational career website that offers the incredible opportunity to find your way into the data science world no matter your previous knowledge and experience. We have prepared numerous courses that suit the needs of aspiring BI analysts, Data analysts and Data scientists. We at 365 Data Science are committed educators who believe that curiosity should not be hindered by inability to access good learning resources. This is why we focus all our efforts on creating high-quality educational content which anyone can access online.

Leave a comment

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Design a site like this with WordPress.com
Get started