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1. PART 2
LISTS IN PYTHON
• WANT TO LEARN PYTHON PROGRAMMING? (SUBTITLES)
• SUBSCRIBE
• TELEGRAM – FreeCodeSchool
• Twitter – shivammitra4
• LinkedIn – shivammitra
• Link in description
• INSTALLING PYTHON
• VARIABLES AND DATA TYPES
• PLAYLIST LINK IN DESCRIPTION

2. STORING MULTIPLE NAMES ?
• 5 names, 10 names …. 100 names
• Storing it in strings doesn’t scale well
• Storing multiple numbers
• Code clarity
• Slow access

3. INTRODUCING LISTS
• A list is a collection of items in a particular order
• List of
• Names
• Places
• list of digits
• list of colors
• Good to name your list names as plurals – names, places etc

4. LISTS IN PYTHON
• Use square brackets ([]) to represent a list
• Individuals elements are separated by a comma
• Printing a list

5. ACCESSING ELEMENTS IN A LIST
• Lists are ordered
• Access an element by its position or index
• In Python and most languages, list numbering starts from 0th position
• This is very important

6. USE STRING METHODS ON THESE ELEMENTS

7. REMEMBER THIS IMPORTANT THING
• Each index in a list contains a data type – integers, float, strings etc
• Instead to using multiple variable names, you are using a single
variable name to store all these
• All functions/operations on a data type applies here to elements

8. CAN WE STORE DIFFERENT DATA TYPES IN A
LIST ?
But mostly we will store same type of data

9. LENGTH OF THE LIST USING LEN() FUNCTION

10. ACCESSING LAST ELEMENTS IN A LIST

11. NEGATIVE INDEXING IN PYTHON
THIS WILL BE FASTER THAN THE LAST METHOD

12. STRINGS VS LISTS IN PYTHON

13. MODIFYING AN ELEMENT - LIST VS STRING

14. MUTABLE VS IMMUTABLE DATA TYPES
• Immutable data type
• The value/data cannot be changed
• Example: strings, integers, floats etc
• Mutable data type
• The value/data can be changed
• Example – lists
• More about this in a separate video

15. INSERTING ELEMENTS
TO A LIST

16. INSERTING ELEMENTS AT THE END OF A LIST

17. • This is very common
• As data is mostly known after the program starts running

18. INSERTING ELEMENTS AT ANY POSITION

20. REMOVING ELEMENTS
FROM A LIST

21. REMOVING USING DEL STATEMENTS

22. REMOVING USING POP METHOD
• The pop() method removes the last item in a list, but it lets you work
with that item after removing it

23. POPPING ITEMS FROM ANY POSITION IN THE
LIST

24. WHEN TO USE DEL VS POP ?

25. REMOVING AN ELEMENT BY VALUE

26. REMOVING AN ELEMENT NOT IN A LIST

27. CAN DUPLICATES BE REMOVED ?
• Removes first matching value
• USING REMOVE AGAIN WILL DO

28. ORGANIZING A LIST

29. SORTING A LIST
• Putting the elements in a particular order
• Increasing order
• Decreasing order
• Numbers = [2, 1, 3]
• Increasing = [1, 2, 3]
• Decreasing = [3, 2, 1]

30. SORTING A LIST OF STRINGS
• Alphabetical order
• Names = [‘Shivam’, ’Anil’, ‘Navneet’]
• Increasing alphabetical order = [‘Anil’, ‘Navneet’, ‘Shivam’]
• Decreasing alphabetical order = [‘Shivam’, ‘Navneet’, ‘Anil’]

31. SORTING A LIST PERMANENTLY WITH SORT
FUNCTION
BY DEFAULT, SORT() SHORTES IN INCREASING ORDER

32. SORTING IN REVERSE ALPHABETIC ORDER

34. SORTING A LIST TEMPORARILY WITH SORTED
FUNCTION
• To maintain the original order of a list but present it in a sorted order,
you can use the sorted() function.
• The sorted() function lets you display your list in a particular order but
doesn’t affect the actual order of the list.

36. PRINTING A LIST IN REVERSE ORDER
What if you reverse again ?

37. AVOIDING INDEX ERRORS WHEN WORKING
WITH LIST
REMEMBER THAT INDEXING STARTS AT 0

39. FOR LOOP IN PYTHON
AND USING LISTS