> “Your code doesn’t need to crash to be damaged. Typically, it simply smells unhealthy.”
Once I began out with Python, I obsessed over making issues work. If the script ran and gave the precise output, I checked it off.
However as my tasks grew, so did my ache. Bugs hid in plain sight. Refactoring turned dangerous. Options felt more durable so as to add.
Seems, my tasks had been quietly rotting — because of code smells.
They aren’t bugs, however they’re warning indicators. They sign messy logic, poor design, and future complications. Listed here are 7 of probably the most harmful ones I’ve discovered to identify — and remove.
In case your operate is 60+ strains lengthy and juggles I/O, information processing, logging, and validation — it’s a God Perform.
def process_user(consumer):
# validation
# database save
# electronic mail sending
# logging
# and many others...
def validate_user(consumer): ...
def save_user(consumer): ...
def notify_user(consumer): ...
