Python 3.7 vs Python 3.8

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

Python 3.7

Nice Pick

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

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 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 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