Dynamic

Python 2.7 vs Python 3.7

Developers should learn Python 2 meets developers should learn python 3. Here's our take.

🧊Nice Pick

Python 2.7

Developers should learn Python 2

Python 2.7

Nice Pick

Developers should learn Python 2

Pros

  • +7 primarily for maintaining or migrating legacy systems, as many older applications, scripts, and enterprise software were built with it
  • +Related to: python-3, pip

Cons

  • -Specific tradeoffs depend on your use case

Python 3.7

Developers should learn Python 3

Pros

  • +7 for its modern features that simplify code, such as data classes for structured data and improved async/await support, making it ideal for applications in data analysis, machine learning, and backend services
  • +Related to: python, data-classes

Cons

  • -Specific tradeoffs depend on your use case

The Verdict

Use Python 2.7 if: You want 7 primarily for maintaining or migrating legacy systems, as many older applications, scripts, and enterprise software were built with it and can live with specific tradeoffs depend on your use case.

Use Python 3.7 if: You prioritize 7 for its modern features that simplify code, such as data classes for structured data and improved async/await support, making it ideal for applications in data analysis, machine learning, and backend services over what Python 2.7 offers.

🧊
The Bottom Line
Python 2.7 wins

Developers should learn Python 2

Disagree with our pick? nice@nicepick.dev