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Though Python 3 was released in 2008, many projects are still stuck on Python 2. It’s understandable that porting large existing codebases to a new version is a prospect which sends a shiver down many ...

The fastest way to improve at Python is through consistent, hands-on coding. With hundreds of exercises available online, you can progress from basic print statements to advanced data analysis.

Python Software Foundation survey finds that a significant number of Python developers are still using Python 2 for data analysis, computer graphics, and devops. Python 3 was by far the choice over ...