9 Python Features We Almost Got but Never Did
📰 Medium · Data Science
Explore 9 rejected Python features that could have improved development, and understand why they were never implemented
Action Steps
- Read the article on Medium to learn about the 9 rejected Python features
- Explore the Python Enhancement Proposals (PEPs) website to understand the proposal and rejection process
- Investigate alternative libraries or workarounds that achieve similar functionality to the rejected features
- Discuss with colleagues the potential impact of these features on current projects
- Apply knowledge of Python's design principles to inform own coding decisions
Who Needs to Know This
Developers and data scientists on a team can benefit from understanding the design decisions behind Python, to better utilize its features and avoid potential pitfalls. This knowledge can also inform their own design choices when building projects
Key Insight
💡 Understanding the design decisions behind Python can help developers make better use of its features and avoid potential pitfalls
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🐍 Discover 9 Python features that never made it! From None handling to lazy imports, learn what could've been and why it wasn't 🤔
Full Article
Rejected PEPs on None handling, lazy imports, keyword shortcuts, lock files, and other ideas developers still miss. Continue reading on TechToFreedom »
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