Intro Python: Fundamentals
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Syllabus
Welcome
Section 1: Introduction
1. Introduction
2. Variable assignment
3. User input
4. Comments
5. Conditionals
6. Complex conditions
7. Exercise #1 (weather reaction)
8. Solution #1 (weather reaction)
Intro Python, section 1.ipynb
Section 2: Basic data types
9. None
10. True, False, and boolean context
11. Integers
12. Max int?
13. Converting to ints
14. Exercise #2 (number guessing game)
15. Solution #2 (number guessing game)
16. Hex, oct, and bin
17. Floats
Intro Python, section 2.ipynb
Section 3: Strings
Strings syllabus
18. Intro to strings
19. Backslashes
20 Raw strings
21 Slices
22 Searching with "in"
23 Exercise 3 -- Pig Latin
24 Solution 3 -- Pig Latin
25 String methods
26 Triple-quoted strings
27 Bytes and characters
28 str.format and f-strings
29 print function options
Intro Python, section 3.ipynb
Section 4: Loops
loops-syllabus.pdf
Intro Python, section 4.ipynb
30 for loops
31 indexes and enumerate
32 range
33 Exercise 4 -- loop exercises
34 Solution 4 -- loop exercises
35 break and continue
36 else on loops
37 while loops
Section 5: Lists
lists-tuples-syllabus.pdf
Intro Python, section 5.ipynb
38 lists
39 Assignment and lists
40 append
41 Exercise 5 -- sum and mean of numbers
42 Solution 5
43 extend and +=
44 advanced inserting into lists
45 removing from a list
46 stacks and queues
47 iterating over lists
48 range
49 str.split
50 str.join
51 Exercise 6 -- Pig Latin sentence
52 Solution 6 -- Pig Latin sentence
53 Adding to strings, adding to lists
54 sorting
Section 6: Tuples
55 Intro to tuples
56 Tuples are immutable
57 Tuple creation trickiness
58 Unpacking
59 Convering to-from tuples
60 Sorting tuples
61 Exercise 7 -- people
62 Solution 7 -- people
Section 7: Dictionaries
dict-syllabus.pdf
63 Intro to dicts
64 Exercise 8 -- restaurant
65 Solution 8 -- restaurant
66 get and setdefault
67 iterating over a dict
68 Exercise 9 -- Rainfall
69 Solution 9 -- Rainfall
70 How do dicts work?
Intro Python, section 7.ipynb
Section 8: Sets
71 Intro to sets
72 Lists vs. sets
73 Adding to and removing from sets
74 Exercise 10 -- dollar store
75 Solution 10 -- dollar store
76 Set operations
77 Exercise 11 -- spelling bee
78 Solution 11 -- spelling bee
Conclusion
79 Conclusion.mov
PDFs of slides
01 Introduction.pdf
02 Simple data types (none, boolean, ...
03 Lists, tuples, sequences.pdf
04 Dictionaries and sets.pdf
Products
Course
Section
Section 5: Lists
Section 5: Lists
Intro Python: Fundamentals
Buy now
Learn more
Syllabus
Welcome
Section 1: Introduction
1. Introduction
2. Variable assignment
3. User input
4. Comments
5. Conditionals
6. Complex conditions
7. Exercise #1 (weather reaction)
8. Solution #1 (weather reaction)
Intro Python, section 1.ipynb
Section 2: Basic data types
9. None
10. True, False, and boolean context
11. Integers
12. Max int?
13. Converting to ints
14. Exercise #2 (number guessing game)
15. Solution #2 (number guessing game)
16. Hex, oct, and bin
17. Floats
Intro Python, section 2.ipynb
Section 3: Strings
Strings syllabus
18. Intro to strings
19. Backslashes
20 Raw strings
21 Slices
22 Searching with "in"
23 Exercise 3 -- Pig Latin
24 Solution 3 -- Pig Latin
25 String methods
26 Triple-quoted strings
27 Bytes and characters
28 str.format and f-strings
29 print function options
Intro Python, section 3.ipynb
Section 4: Loops
loops-syllabus.pdf
Intro Python, section 4.ipynb
30 for loops
31 indexes and enumerate
32 range
33 Exercise 4 -- loop exercises
34 Solution 4 -- loop exercises
35 break and continue
36 else on loops
37 while loops
Section 5: Lists
lists-tuples-syllabus.pdf
Intro Python, section 5.ipynb
38 lists
39 Assignment and lists
40 append
41 Exercise 5 -- sum and mean of numbers
42 Solution 5
43 extend and +=
44 advanced inserting into lists
45 removing from a list
46 stacks and queues
47 iterating over lists
48 range
49 str.split
50 str.join
51 Exercise 6 -- Pig Latin sentence
52 Solution 6 -- Pig Latin sentence
53 Adding to strings, adding to lists
54 sorting
Section 6: Tuples
55 Intro to tuples
56 Tuples are immutable
57 Tuple creation trickiness
58 Unpacking
59 Convering to-from tuples
60 Sorting tuples
61 Exercise 7 -- people
62 Solution 7 -- people
Section 7: Dictionaries
dict-syllabus.pdf
63 Intro to dicts
64 Exercise 8 -- restaurant
65 Solution 8 -- restaurant
66 get and setdefault
67 iterating over a dict
68 Exercise 9 -- Rainfall
69 Solution 9 -- Rainfall
70 How do dicts work?
Intro Python, section 7.ipynb
Section 8: Sets
71 Intro to sets
72 Lists vs. sets
73 Adding to and removing from sets
74 Exercise 10 -- dollar store
75 Solution 10 -- dollar store
76 Set operations
77 Exercise 11 -- spelling bee
78 Solution 11 -- spelling bee
Conclusion
79 Conclusion.mov
PDFs of slides
01 Introduction.pdf
02 Simple data types (none, boolean, ...
03 Lists, tuples, sequences.pdf
04 Dictionaries and sets.pdf
Lists are the most commonly used data structure for ordered collections, similar to arrays in other languages. In this section, you'll learn how to create and manipulate lists.
19 Lessons
lists-tuples-syllabus.pdf
Intro Python, section 5.ipynb
38 lists
39 Assignment and lists
40 append
41 Exercise 5 -- sum and mean of numbers
42 Solution 5
43 extend and +=
44 advanced inserting into lists
45 removing from a list
46 stacks and queues
47 iterating over lists
48 range
49 str.split
50 str.join
51 Exercise 6 -- Pig Latin sentence
52 Solution 6 -- Pig Latin sentence
53 Adding to strings, adding to lists
54 sorting