Python Beyond Beginner Stage

Python Beyond Beginner Stage

So you’ve started using Python. You know all about the syntax, control flow and operators. You’re probably already familiar with special Python features like list and dict comprehension, lambda functions, inline if, for..in and so on. You’ve maybe also used classes and generators.

So you’ve started using Python. You know all about the syntax, control flow and operators. You’re probably already familiar with special Python features like list and dict comprehension, lambda functions, inline if, for..in and so on. You’ve maybe also used classes and generators.

I’d like to share features, tools, libraries and good practices which you can include in your development flow to improve efficiency and make your code more robust.

Debugging

Learning python debugger really pays off.

Simply insertimport pdb; pdb.set_trace() where you want your program to pause and then you can type !my_var to see the variable and execute any statements like !my_function(my_var) You can step through the code by typing s (step).

Use ipdb as a a drop in replacement of pdb based on ipython for a more user friendly experience and multi-line code support.

If you want the code to pause for you when an error (exception) happens without inserting the set_trace breakpoint, change python my_program.py to python -m pdb -c continue my_program.py and you’ll get pdb prompt at the place of the first uncaught exception. You can step out of the call stack by using u if the exception wasn’t raised in your code.

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