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Python intermediate series - Working with lists.

Python intermediate series - Working with lists.

What you should know about working with Python lists beyond beginner level to become an intermediate Python programmer.

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In Python, a list is a collection of items that are ordered and changeable. Lists are one of the most commonly used data types in Python and are used to store a collection of items of the same or different data types. Lists are created using square brackets [] and the items are separated by commas. For example:

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my_list = [1, 2, 3, 4]

my_list2 = ['a', 'b', 'c', 'd']

my_list3 = [1, 'a', 2, 'b']

There are several ways to work with lists in Python. Some common operations include:

  • Accessing items in a list: You can access the items in a list using their index number. The index numbers start at 0 for the first item, 1 for the second item, and so on. For example, to access the second item in the list my_list2, you would use the index 1.
  • Modifying items in a list: You can modify the value of an item in a list by accessing it using its index number and then assigning it a new value. For example, to change the value of the second item in the list my_list, you would use the following code:

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my_list[1] = 5

  • Adding items to a list: You can add items to a list using the append() method or the insert() method. The append() method adds the item to the end of the list, while the insert() method allows you to specify the index where the item should be inserted.
  • Removing items from a list: You can remove items from a list using the remove() method or the pop() method. The remove() method removes the first occurrence of the specified item, while the pop() method removes the item at the specified index and returns it.
  • Sorting a list: You can sort a list using the sort() method. By default, the list is sorted in ascending order, but you can specify the reverse parameter as True to sort the list in descending order.

These are just a few examples of how you can work with lists in Python. There are many other operations and methods available for working with lists, and you can find more information in the Python documentation or online tutorials.

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