Posts

Showing posts with the label Sets

Featured Post

How to Compare Text in Python

-
Image
Python like other programming languages supports comparison operators. These primarily use to test the condition in the program. Here's a list of operators that you can use in python programs. Comparison operators List of operators < <= > >= == != Is is not How to use comparison operators Here, I have assigned 23 to a and 11 to b. Then, I did apply all the comparison operators. The output is self-explanatory, and If you are in doubt while programming, remember to visit this page. Examples a = 23 b = 11 print("Is a greater than b?", a > b)           #greater than print("Is a less than b?", a < b)              #less than print("Is a greater or equal to b?", a >= b)   #greater or equal print("Is a less or equal to b?", a <= b)      #less or equal print("Is a equal to b (option 1)?", a == b)         #test for equality print("Is a equal to b (option 2)?", a is b)         #test for equality print("I
Post a Comment
Read more

Sets Vs Lists Python Programmer Tips

-
Image
Sets are only useful when trying to ensure unique items are preserved. Before sets were available, it was common to process items and check if they exist in a list (or dictionary) before adding them. List example Here unique is an empty list. Every time I compare with this list, and if it is not duplicated then the input item will append to the unique list.  >>> unique = []  >>> for name in ['srini', 'srini', 'rao', 'srini']:  ... if name not in unique:  ... unique.append(name)  ... >>> unique ['srini', 'rao'] There is no need to do this when using sets. Instead of appending you add to a set: Set example >>> for name in ['srini', 'srini', 'rao', 'srini']: ... unique.add(name)  ...  >>> unique {'srini', 'rao'} Just like tuples and lists, interacting with sets have some differences on how to access their items. You can't index them like lists an
Post a Comment
Read more