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Showing posts with the label Discard method

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15 Python Tips : How to Write Code Effectively

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 Here are some Python tips to keep in mind that will help you write clean, efficient, and bug-free code.     Python Tips for Effective Coding 1. Code Readability and PEP 8  Always aim for clean and readable code by following PEP 8 guidelines.  Use meaningful variable names, avoid excessively long lines (stick to 79 characters), and organize imports properly. 2. Use List Comprehensions List comprehensions are concise and often faster than regular for-loops. Example: squares = [x**2 for x in range(10)] instead of creating an empty list and appending each square value. 3. Take Advantage of Python’s Built-in Libraries  Libraries like itertools, collections, math, and datetime provide powerful functions and data structures that can simplify your code.   For example, collections.Counter can quickly count elements in a list, and itertools.chain can flatten nested lists. 4. Use enumerate Instead of Range     When you need both the index and the value in a loop, enumerate is a more Pyth
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How to Delete an Item from a Set in Python: Best Example

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Set is a built-in data type in Python. Furthermore, it is an unordered collection without duplicate items. Here are the two methods that explain to delete an item from a Set. Methods to delete an item from a Set discard remove Discrd Vs. Remove discard() will not raise an error if the item to remove does not exist. The remove() will raise an error if the item does not exist. Explanation to discard and remove methods Python program: #Prints all the Set items food = {"pasta", "burger", "hot dog", "pizza"} print(food) # Prints the Set items without pasta food.discard("pasta") print(food) # Prints the Set items without burger and pasta food.remove("burger") print(food) # The next two lines try to remove an item that isn't in the set! food.discard("pasta")  # this will not report an error food.remove("pasta")   # this will report an error The output: {'pasta', 'burger', 'pizza', '
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