Class 11 Computer Science — Chapter 4: Working with Lists and Dictionaries

What you'll learn

• ▸Creating and Initializing Lists
• ▸Accessing List Elements using Indexing
• ▸List Mutability
• ▸List Operations: Concatenation and Repetition
• ▸List Membership Testing
• ▸List Slicing
• ▸Traversing a List
• ▸Common List Methods and Functions

Chapter Summary

--- PAGE 1 --- --- PAGE 2 --- 56 INFORMATICS PRACTICES – CLASS XI NOTES #list2 is the list of vowels >>> list2 = ['a','e','i','o','u'] >>> print(list2) ['a', 'e', 'i', 'o', 'u'] #list3 is the list of mixed data types >>> list3 = [100,23.5,'Hello'] >>> print(list3) [100, 23.5, 'Hello'] #list4 is the list of lists called nested #list >>> list4 = [['Physics',101],['Chemistry',202], ['Mathematics',303]] >>> print(list4) [['Physics', 101], ['Chemistry', …

Practice Questions from this Chapter

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1. Show more real-world list examples. Get Solution →
2. Explain zero-indexing simply. Get Solution →
3. Create a Python list quiz. Get Solution →
4. According to the text, what does it mean for a Python list to be 'mutable'? Get Solution →
5. Which symbol is used as the concatenation operator to join two or more lists? Get Solution →
6. What is the index value of the very first element in a Python list? Get Solution →
7. Which built-in function is used to find the total number of elements in a list? Get Solution →
8. Which operator checks if an element is present in a list and returns True or False? Get Solution →

Did you know?

• 💡 Computers often start counting from zero, not one, which is called zero-indexing.
• 💡 Python lists can hold millions of items, acting like a giant digital shopping cart.
• 💡 Many programming languages use lists to store sequences of information, like DNA strands.
• 💡 The concept of indexing helps computers quickly find specific data in huge collections.
• 💡 Negative indexing, like in Python, means counting backward from the end of a list.

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