Dynamic

Python 3.7 vs Python 3.8

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

🧊Nice Pick

Python 3.7

Developers should learn Python 3

Python 3.7

Nice Pick

Developers should learn Python 3

Pros

  • +7 to leverage its modern features like data classes for simplifying class definitions and asyncio improvements for better asynchronous programming, making it ideal for building scalable web applications and data pipelines
  • +Related to: python, data-classes

Cons

  • -Specific tradeoffs depend on your use case

Python 3.8

Developers should learn Python 3

Pros

  • +8 for its modern syntax features that streamline code, such as the walrus operator for simplifying conditional assignments, making it ideal for data processing and algorithm implementation
  • +Related to: python, django

Cons

  • -Specific tradeoffs depend on your use case

The Verdict

Use Python 3.7 if: You want 7 to leverage its modern features like data classes for simplifying class definitions and asyncio improvements for better asynchronous programming, making it ideal for building scalable web applications and data pipelines and can live with specific tradeoffs depend on your use case.

Use Python 3.8 if: You prioritize 8 for its modern syntax features that streamline code, such as the walrus operator for simplifying conditional assignments, making it ideal for data processing and algorithm implementation over what Python 3.7 offers.

🧊
The Bottom Line
Python 3.7 wins

Developers should learn Python 3

Disagree with our pick? nice@nicepick.dev