Dynamic

Python 3.6 vs Python 3.7

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

🧊Nice Pick

Python 3.6

Developers should learn Python 3

Python 3.6

Nice Pick

Developers should learn Python 3

Pros

  • +6 if they are working on legacy systems or projects that require compatibility with this version, as it includes important features like f-strings that simplify code
  • +Related to: python, django

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 3.6 if: You want 6 if they are working on legacy systems or projects that require compatibility with this version, as it includes important features like f-strings that simplify code 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 3.6 offers.

🧊
The Bottom Line
Python 3.6 wins

Developers should learn Python 3

Disagree with our pick? nice@nicepick.dev