3 Intelligent Ways to Use ChatGPT to Speed Up Your Next Data Science Project | by Murtaza Ali | Aug, 2023


Rather than considering ChatGPT a threat, view it as your personal assistant and mentor.

Photo by ilgmyzin on Unsplash

The growing popularity of ChatGPT over the past year has led to much speculation regarding what such a tool entails for the workforce. Many believe it indicates automation of many jobs performed by humans, especially programming ones.

I prefer a different perspective. While ChatGPT is powerful, it’s not omnipotent. If you work in tech, it cannot replace your job, but it can very much help you be better at it.

In fact, ChatGPT can be a particularly beneficial tool for data scientists, because data folks aren’t necessarily trained in the “polished” aspects of writing code. When training to be data scientists, people often learn how to use code as a statistical and sociological tool without being initiated into rigorous computer science practices.

ChatGPT can help you fill these gaps — making it easier to do your job and teaching you new skills along the way. Let’s take a look at a few ways it might do so.

What does this error mean?

I have been programming for close to six years now. Accordingly, for six long years, I have been continually frustrated by the lack of specificity and detail in the error messages I get when my code breaks.

I used to find solace in random Google searches. With any luck, some programming guru on Stack Overflow would have a detailed explanation regarding my error and solid advice on how to fix it. However, this was always hit or miss, never a guarantee.

Since ChatGPT came into existence, I have found it extremely useful for understanding error messages from code. Its responses facilitate a number of things, all of which are conducive to improving one’s programming skills:

  • It provides a detailed description of what the error means.
  • It gives detailed guidance on how to fix the error.
  • It occasionally even provides general guidance on how to approach the larger class of errors that your error falls under.



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