CSci 127: Introduction to Computer Science
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1 CSci 127: Introduction to Computer Science hunter.cuny.edu/csci CSci 127 (Hunter) Lecture 3 13 September / 34
2 Announcements Welcome back to Assembly Hall, and thank you for your patience in our trek last lecture. CSci 127 (Hunter) Lecture 3 13 September / 34
3 Announcements Welcome back to Assembly Hall, and thank you for your patience in our trek last lecture. A big thank you to the undergraduate teaching assistants in getting everyone (& chairs) there! CSci 127 (Hunter) Lecture 3 13 September / 34
4 Announcements Welcome back to Assembly Hall, and thank you for your patience in our trek last lecture. A big thank you to the undergraduate teaching assistants in getting everyone (& chairs) there! The undergraduate teaching assistants (UTAs) will be in 1001E North, assisting with recitation sessions and holding tutoring hours. CSci 127 (Hunter) Lecture 3 13 September / 34
5 Announcements Welcome back to Assembly Hall, and thank you for your patience in our trek last lecture. A big thank you to the undergraduate teaching assistants in getting everyone (& chairs) there! The undergraduate teaching assistants (UTAs) will be in 1001E North, assisting with recitation sessions and holding tutoring hours. Holidays next week: CUNY Follows Thursday class schedule on Tuesday, 19 September. No classes on Wednesday Friday, September. Lecture resumes in two weeks. CSci 127 (Hunter) Lecture 3 13 September / 34
6 Announcements Welcome back to Assembly Hall, and thank you for your patience in our trek last lecture. A big thank you to the undergraduate teaching assistants in getting everyone (& chairs) there! The undergraduate teaching assistants (UTAs) will be in 1001E North, assisting with recitation sessions and holding tutoring hours. Holidays next week: CUNY Follows Thursday class schedule on Tuesday, 19 September. No classes on Wednesday Friday, September. Lecture resumes in two weeks. Starting this week, we will end each lecture with a survey of computing research and the tech industry in NYC. CSci 127 (Hunter) Lecture 3 13 September / 34
7 Frequently Asked Questions From lecture slips & recitation sections. CSci 127 (Hunter) Lecture 3 13 September / 34
8 Frequently Asked Questions From lecture slips & recitation sections. I didn t turn in a lecture slip last week. Did I miss it? CSci 127 (Hunter) Lecture 3 13 September / 34
9 Frequently Asked Questions From lecture slips & recitation sections. I didn t turn in a lecture slip last week. Did I miss it? No, due to the chaos of changing lecture halls, there were no lecture slips. Lecture slips return today. CSci 127 (Hunter) Lecture 3 13 September / 34
10 Frequently Asked Questions From lecture slips & recitation sections. I didn t turn in a lecture slip last week. Did I miss it? No, due to the chaos of changing lecture halls, there were no lecture slips. Lecture slips return today. Can I get a copy of the lecture slides? CSci 127 (Hunter) Lecture 3 13 September / 34
11 Frequently Asked Questions From lecture slips & recitation sections. I didn t turn in a lecture slip last week. Did I miss it? No, due to the chaos of changing lecture halls, there were no lecture slips. Lecture slips return today. Can I get a copy of the lecture slides? Yes, the slides are posted on the class website. CSci 127 (Hunter) Lecture 3 13 September / 34
12 Frequently Asked Questions From lecture slips & recitation sections. I didn t turn in a lecture slip last week. Did I miss it? No, due to the chaos of changing lecture halls, there were no lecture slips. Lecture slips return today. Can I get a copy of the lecture slides? Yes, the slides are posted on the class website. Where do I find the programs from lecture? CSci 127 (Hunter) Lecture 3 13 September / 34
13 Frequently Asked Questions From lecture slips & recitation sections. I didn t turn in a lecture slip last week. Did I miss it? No, due to the chaos of changing lecture halls, there were no lecture slips. Lecture slips return today. Can I get a copy of the lecture slides? Yes, the slides are posted on the class website. Where do I find the programs from lecture? These are also on the class website. CSci 127 (Hunter) Lecture 3 13 September / 34
14 Frequently Asked Questions From lecture slips & recitation sections. I didn t turn in a lecture slip last week. Did I miss it? No, due to the chaos of changing lecture halls, there were no lecture slips. Lecture slips return today. Can I get a copy of the lecture slides? Yes, the slides are posted on the class website. Where do I find the programs from lecture? These are also on the class website. I m sure I did Problem 9 correctly, but Gradescope disagrees. Why? CSci 127 (Hunter) Lecture 3 13 September / 34
15 Frequently Asked Questions From lecture slips & recitation sections. I didn t turn in a lecture slip last week. Did I miss it? No, due to the chaos of changing lecture halls, there were no lecture slips. Lecture slips return today. Can I get a copy of the lecture slides? Yes, the slides are posted on the class website. Where do I find the programs from lecture? These are also on the class website. I m sure I did Problem 9 correctly, but Gradescope disagrees. Why? Some of the grading scripts are really finicky about spacing and new lines. Let us know some we can fix, some have to match exactly. CSci 127 (Hunter) Lecture 3 13 September / 34
16 Frequently Asked Questions From lecture slips & recitation sections. I didn t turn in a lecture slip last week. Did I miss it? No, due to the chaos of changing lecture halls, there were no lecture slips. Lecture slips return today. Can I get a copy of the lecture slides? Yes, the slides are posted on the class website. Where do I find the programs from lecture? These are also on the class website. I m sure I did Problem 9 correctly, but Gradescope disagrees. Why? Some of the grading scripts are really finicky about spacing and new lines. Let us know some we can fix, some have to match exactly. I m confused by the reading what should I be reading? CSci 127 (Hunter) Lecture 3 13 September / 34
17 Frequently Asked Questions From lecture slips & recitation sections. I didn t turn in a lecture slip last week. Did I miss it? No, due to the chaos of changing lecture halls, there were no lecture slips. Lecture slips return today. Can I get a copy of the lecture slides? Yes, the slides are posted on the class website. Where do I find the programs from lecture? These are also on the class website. I m sure I did Problem 9 correctly, but Gradescope disagrees. Why? Some of the grading scripts are really finicky about spacing and new lines. Let us know some we can fix, some have to match exactly. I m confused by the reading what should I be reading? For this week: Introductory chapters (1-4) and 8.10 on images. CSci 127 (Hunter) Lecture 3 13 September / 34
18 Frequently Asked Questions From lecture slips & recitation sections. I didn t turn in a lecture slip last week. Did I miss it? No, due to the chaos of changing lecture halls, there were no lecture slips. Lecture slips return today. Can I get a copy of the lecture slides? Yes, the slides are posted on the class website. Where do I find the programs from lecture? These are also on the class website. I m sure I did Problem 9 correctly, but Gradescope disagrees. Why? Some of the grading scripts are really finicky about spacing and new lines. Let us know some we can fix, some have to match exactly. I m confused by the reading what should I be reading? For this week: Introductory chapters (1-4) and 8.10 on images. What s the best way to study for the final? What should I read? CSci 127 (Hunter) Lecture 3 13 September / 34
19 Frequently Asked Questions From lecture slips & recitation sections. I didn t turn in a lecture slip last week. Did I miss it? No, due to the chaos of changing lecture halls, there were no lecture slips. Lecture slips return today. Can I get a copy of the lecture slides? Yes, the slides are posted on the class website. Where do I find the programs from lecture? These are also on the class website. I m sure I did Problem 9 correctly, but Gradescope disagrees. Why? Some of the grading scripts are really finicky about spacing and new lines. Let us know some we can fix, some have to match exactly. I m confused by the reading what should I be reading? For this week: Introductory chapters (1-4) and 8.10 on images. What s the best way to study for the final? What should I read? Do all the programming assignments & quizzes. Practice final exams will be available mid-november. CSci 127 (Hunter) Lecture 3 13 September / 34
20 Today s Topics Indexing and Slicing Lists Colors Hexadecimal Notation 2D Arrays & Image Files CSci 127 (Hunter) Lecture 3 13 September / 34
21 Last Time: User Input Covered in detail in Lab 2: (Demo with pythontutor) CSci 127 (Hunter) Lecture 3 13 September / 34
22 Side Note: + for numbers and strings x = stores the number 8 in memory location x. CSci 127 (Hunter) Lecture 3 13 September / 34
23 Side Note: + for numbers and strings x = stores the number 8 in memory location x. x = x + 1 increases x by 1. CSci 127 (Hunter) Lecture 3 13 September / 34
24 Side Note: + for numbers and strings x = stores the number 8 in memory location x. x = x + 1 increases x by 1. s = "hi" + "Mom" stores himom in memory locations s. CSci 127 (Hunter) Lecture 3 13 September / 34
25 Side Note: + for numbers and strings x = stores the number 8 in memory location x. x = x + 1 increases x by 1. s = "hi" + "Mom" stores himom in memory locations s. s = s + "A" adds the letter A to the end of the strings s. CSci 127 (Hunter) Lecture 3 13 September / 34
26 In Pairs or Triples... Let s start (mostly) with review review: CSci 127 (Hunter) Lecture 3 13 September / 34
27 Python Tutor (Demo with pythontutor) CSci 127 (Hunter) Lecture 3 13 September / 34
28 Review: for-loop for i in list: statement1 statement2 statement3 How to Think Like CS, 4.5 CSci 127 (Hunter) Lecture 3 13 September / 34
29 Review: for-loop for i in list: statement1 statement2 statement3 where list is a list of items: stated explicitly (e.g. [1,2,3]) or generated by a function, e.g. range(). How to Think Like CS, 4.5 CSci 127 (Hunter) Lecture 3 13 September / 34
30 range() What if you wanted to count by twos, or some other number: CSci 127 (Hunter) Lecture 3 13 September / 34
31 range() What if you wanted to count by twos, or some other number: range(start, stop, step) CSci 127 (Hunter) Lecture 3 13 September / 34
32 range() What if you wanted to count by twos, or some other number: range(start, stop, step) Produces a list: [start,start+step,start+2*step...,last] (where last is the largest start+k*step less than stop) CSci 127 (Hunter) Lecture 3 13 September / 34
33 range() What if you wanted to count by twos, or some other number: range(start, stop, step) Produces a list: [start,start+step,start+2*step...,last] (where last is the largest start+k*step less than stop) For example, if you want the the list [5,10,...,50] you would write: CSci 127 (Hunter) Lecture 3 13 September / 34
34 range() What if you wanted to count by twos, or some other number: range(start, stop, step) Produces a list: [start,start+step,start+2*step...,last] (where last is the largest start+k*step less than stop) For example, if you want the the list [5,10,...,50] you would write: range(5,51,5) CSci 127 (Hunter) Lecture 3 13 September / 34
35 Slices Similar to range(), you can take portions or slices of lists and strings: CSci 127 (Hunter) Lecture 3 13 September / 34
36 Slices Similar to range(), you can take portions or slices of lists and strings: s[start:stop] gives [start,start+1,start+2...,stop-1]. CSci 127 (Hunter) Lecture 3 13 September / 34
37 Slices Similar to range(), you can take portions or slices of lists and strings: s[start:stop] gives [start,start+1,start+2...,stop-1]. Also works for lists: CSci 127 (Hunter) Lecture 3 13 September / 34
38 Slices Similar to range(), you can take portions or slices of lists and strings: s[start:stop] gives [start,start+1,start+2...,stop-1]. Also works for lists: names[1:3] CSci 127 (Hunter) Lecture 3 13 September / 34
39 Slices Similar to range(), you can take portions or slices of lists and strings: s[start:stop] gives [start,start+1,start+2...,stop-1]. Also works for lists: names[1:3] gives ["Anna", "Alice"] CSci 127 (Hunter) Lecture 3 13 September / 34
40 Slices Similar to range(), you can take portions or slices of lists and strings: s[start:stop] gives [start,start+1,start+2...,stop-1]. Also works for lists: names[1:3] gives ["Anna", "Alice"] Python also lets you count backwards : last element has index: -1. CSci 127 (Hunter) Lecture 3 13 September / 34
41 Colors Can specify by name. CSci 127 (Hunter) Lecture 3 13 September / 34
42 Colors Can specify by name. Can specify by numbers: CSci 127 (Hunter) Lecture 3 13 September / 34
43 Colors Can specify by name. Can specify by numbers: Amount of Red, Green, and Blue (RGB). CSci 127 (Hunter) Lecture 3 13 September / 34
44 Colors Can specify by name. Can specify by numbers: Amount of Red, Green, and Blue (RGB). Adding light, not paint: CSci 127 (Hunter) Lecture 3 13 September / 34
45 Colors Can specify by name. Can specify by numbers: Amount of Red, Green, and Blue (RGB). Adding light, not paint: Black: 0% red, 0% green, 0% blue CSci 127 (Hunter) Lecture 3 13 September / 34
46 Colors Can specify by name. Can specify by numbers: Amount of Red, Green, and Blue (RGB). Adding light, not paint: Black: 0% red, 0% green, 0% blue White: 100% red, 100% green, 100% blue CSci 127 (Hunter) Lecture 3 13 September / 34
47 Colors Can specify by numbers (RGB): CSci 127 (Hunter) Lecture 3 13 September / 34
48 Colors Can specify by numbers (RGB): Fractions of each: CSci 127 (Hunter) Lecture 3 13 September / 34
49 Colors Can specify by numbers (RGB): Fractions of each: e.g. (1.0, 0, 0) is 100% red, no green, and no blue. CSci 127 (Hunter) Lecture 3 13 September / 34
50 Colors Can specify by numbers (RGB): Fractions of each: e.g. (1.0, 0, 0) is 100% red, no green, and no blue. 8-bit colors: numbers from 0 to 255: CSci 127 (Hunter) Lecture 3 13 September / 34
51 Colors Can specify by numbers (RGB): Fractions of each: e.g. (1.0, 0, 0) is 100% red, no green, and no blue. 8-bit colors: numbers from 0 to 255: e.g. (0, 255, 0) is no red, 100% green, and no blue. CSci 127 (Hunter) Lecture 3 13 September / 34
52 Colors Can specify by numbers (RGB): Fractions of each: e.g. (1.0, 0, 0) is 100% red, no green, and no blue. 8-bit colors: numbers from 0 to 255: e.g. (0, 255, 0) is no red, 100% green, and no blue. Hexcodes (base-16 numbers)... CSci 127 (Hunter) Lecture 3 13 September / 34
53 Decimal & Hexadecimal Numbers Counting with 10 digits: CSci 127 (Hunter) Lecture 3 13 September / 34
54 Decimal CSci 127 (Hunter) Lecture 3 13 September / 34
55 Decimal CSci 127 (Hunter) Lecture 3 13 September / 34
56 Decimal CSci 127 (Hunter) Lecture 3 13 September / 34
57 Decimal CSci 127 (Hunter) Lecture 3 13 September / 34
58 Decimal CSci 127 (Hunter) Lecture 3 13 September / 34
59 Decimal CSci 127 (Hunter) Lecture 3 13 September / 34
60 Decimal CSci 127 (Hunter) Lecture 3 13 September / 34
61 Decimal CSci 127 (Hunter) Lecture 3 13 September / 34
62 Decimal CSci 127 (Hunter) Lecture 3 13 September / 34
63 Decimal CSci 127 (Hunter) Lecture 3 13 September / 34
64 Decimal CSci 127 (Hunter) Lecture 3 13 September / 34
65 Decimal & Hexadecimal Numbers Counting with 16 digits: CSci 127 (Hunter) Lecture 3 13 September / 34
66 Hexadecimal A 0B 0C 0D 0E 0F CSci 127 (Hunter) Lecture 3 13 September / 34
67 Hexadecimal A 0B 0C 0D 0E 0F A 1B 1C 1D 1E 1F CSci 127 (Hunter) Lecture 3 13 September / 34
68 Hexadecimal A 0B 0C 0D 0E 0F A 1B 1C 1D 1E 1F A 2B 2C 2D 2E 2F CSci 127 (Hunter) Lecture 3 13 September / 34
69 Hexadecimal A 0B 0C 0D 0E 0F A 1B 1C 1D 1E 1F A 2B 2C 2D 2E 2F A 3B 3C 3D 3E 3F CSci 127 (Hunter) Lecture 3 13 September / 34
70 Hexadecimal A 0B 0C 0D 0E 0F A 1B 1C 1D 1E 1F A 2B 2C 2D 2E 2F A 3B 3C 3D 3E 3F A 4B 4C 4D 4E 4F CSci 127 (Hunter) Lecture 3 13 September / 34
71 Hexadecimal A 0B 0C 0D 0E 0F A 1B 1C 1D 1E 1F A 2B 2C 2D 2E 2F A 3B 3C 3D 3E 3F A 4B 4C 4D 4E 4F A 5B 5C 5D 5E 5F CSci 127 (Hunter) Lecture 3 13 September / 34
72 Hexadecimal A 0B 0C 0D 0E 0F A 1B 1C 1D 1E 1F A 2B 2C 2D 2E 2F A 3B 3C 3D 3E 3F A 4B 4C 4D 4E 4F A 5B 5C 5D 5E 5F A 6B 6C 6D 6E 6F CSci 127 (Hunter) Lecture 3 13 September / 34
73 Hexadecimal A 0B 0C 0D 0E 0F A 1B 1C 1D 1E 1F A 2B 2C 2D 2E 2F A 3B 3C 3D 3E 3F A 4B 4C 4D 4E 4F A 5B 5C 5D 5E 5F A 6B 6C 6D 6E 6F A 7B 7C 7D 7E 7F CSci 127 (Hunter) Lecture 3 13 September / 34
74 Hexadecimal A 0B 0C 0D 0E 0F A 1B 1C 1D 1E 1F A 2B 2C 2D 2E 2F A 3B 3C 3D 3E 3F A 4B 4C 4D 4E 4F A 5B 5C 5D 5E 5F A 6B 6C 6D 6E 6F A 7B 7C 7D 7E 7F A 8B 8C 8D 8E 8F CSci 127 (Hunter) Lecture 3 13 September / 34
75 Hexadecimal A 0B 0C 0D 0E 0F A 1B 1C 1D 1E 1F A 2B 2C 2D 2E 2F A 3B 3C 3D 3E 3F A 4B 4C 4D 4E 4F A 5B 5C 5D 5E 5F A 6B 6C 6D 6E 6F A 7B 7C 7D 7E 7F A 8B 8C 8D 8E 8F A 9B 9C 9D 9E 9F CSci 127 (Hunter) Lecture 3 13 September / 34
76 Hexadecimal A 0B 0C 0D 0E 0F A 1B 1C 1D 1E 1F A 2B 2C 2D 2E 2F A 3B 3C 3D 3E 3F A 4B 4C 4D 4E 4F A 5B 5C 5D 5E 5F A 6B 6C 6D 6E 6F A 7B 7C 7D 7E 7F A 8B 8C 8D 8E 8F A 9B 9C 9D 9E 9F A0 A1 A2 A3 A4 A5 A6 A7 A8 A9 AA AB AC AD AE AF CSci 127 (Hunter) Lecture 3 13 September / 34
77 Hexadecimal A 0B 0C 0D 0E 0F A 1B 1C 1D 1E 1F A 2B 2C 2D 2E 2F A 3B 3C 3D 3E 3F A 4B 4C 4D 4E 4F A 5B 5C 5D 5E 5F A 6B 6C 6D 6E 6F A 7B 7C 7D 7E 7F A 8B 8C 8D 8E 8F A 9B 9C 9D 9E 9F A0 A1 A2 A3 A4 A5 A6 A7 A8 A9 AA AB AC AD AE AF B0 B1 B2 B3 B4 B5 B6 B7 B8 B9 BA BB BC BD BE BF CSci 127 (Hunter) Lecture 3 13 September / 34
78 Hexadecimal A 0B 0C 0D 0E 0F A 1B 1C 1D 1E 1F A 2B 2C 2D 2E 2F A 3B 3C 3D 3E 3F A 4B 4C 4D 4E 4F A 5B 5C 5D 5E 5F A 6B 6C 6D 6E 6F A 7B 7C 7D 7E 7F A 8B 8C 8D 8E 8F A 9B 9C 9D 9E 9F A0 A1 A2 A3 A4 A5 A6 A7 A8 A9 AA AB AC AD AE AF B0 B1 B2 B3 B4 B5 B6 B7 B8 B9 BA BB BC BD BE BF C0 C1 C2 C3 C4 C5 C6 C7 C8 C9 CA CB CC CD CE CF CSci 127 (Hunter) Lecture 3 13 September / 34
79 Hexadecimal A 0B 0C 0D 0E 0F A 1B 1C 1D 1E 1F A 2B 2C 2D 2E 2F A 3B 3C 3D 3E 3F A 4B 4C 4D 4E 4F A 5B 5C 5D 5E 5F A 6B 6C 6D 6E 6F A 7B 7C 7D 7E 7F A 8B 8C 8D 8E 8F A 9B 9C 9D 9E 9F A0 A1 A2 A3 A4 A5 A6 A7 A8 A9 AA AB AC AD AE AF B0 B1 B2 B3 B4 B5 B6 B7 B8 B9 BA BB BC BD BE BF C0 C1 C2 C3 C4 C5 C6 C7 C8 C9 CA CB CC CD CE CF D0 D1 D2 D3 D4 D5 D6 D7 D8 D9 DA DB DC DD DE DF CSci 127 (Hunter) Lecture 3 13 September / 34
80 Hexadecimal A 0B 0C 0D 0E 0F A 1B 1C 1D 1E 1F A 2B 2C 2D 2E 2F A 3B 3C 3D 3E 3F A 4B 4C 4D 4E 4F A 5B 5C 5D 5E 5F A 6B 6C 6D 6E 6F A 7B 7C 7D 7E 7F A 8B 8C 8D 8E 8F A 9B 9C 9D 9E 9F A0 A1 A2 A3 A4 A5 A6 A7 A8 A9 AA AB AC AD AE AF B0 B1 B2 B3 B4 B5 B6 B7 B8 B9 BA BB BC BD BE BF C0 C1 C2 C3 C4 C5 C6 C7 C8 C9 CA CB CC CD CE CF D0 D1 D2 D3 D4 D5 D6 D7 D8 D9 DA DB DC DD DE DF E0 E1 E2 E3 E4 E5 E6 E7 E8 E9 EA EB EC ED EE EF CSci 127 (Hunter) Lecture 3 13 September / 34
81 Hexadecimal A 0B 0C 0D 0E 0F A 1B 1C 1D 1E 1F A 2B 2C 2D 2E 2F A 3B 3C 3D 3E 3F A 4B 4C 4D 4E 4F A 5B 5C 5D 5E 5F A 6B 6C 6D 6E 6F A 7B 7C 7D 7E 7F A 8B 8C 8D 8E 8F A 9B 9C 9D 9E 9F A0 A1 A2 A3 A4 A5 A6 A7 A8 A9 AA AB AC AD AE AF B0 B1 B2 B3 B4 B5 B6 B7 B8 B9 BA BB BC BD BE BF C0 C1 C2 C3 C4 C5 C6 C7 C8 C9 CA CB CC CD CE CF D0 D1 D2 D3 D4 D5 D6 D7 D8 D9 DA DB DC DD DE DF E0 E1 E2 E3 E4 E5 E6 E7 E8 E9 EA EB EC ED EE EF F0 F1 F2 F3 F4 F5 F6 F7 F8 F9 FA FB FC FD FE FF CSci 127 (Hunter) Lecture 3 13 September / 34
82 Side Note: Listing the numbers Used Python: base = 10 digits = " ABCDEF" for i in digits[:base]: for j in digits[:base]: x = str(i) + str(j) print(x, end=" ") print() CSci 127 (Hunter) Lecture 3 13 September / 34
83 Colors Can specify by numbers (RGB): Fractions of each: e.g. (1.0, 0, 0) is 100% red, no green, and no blue. 8-bit colors: numbers from 0 to 255: e.g. (0, 255, 0) is no red, 100% green, and no blue. Hexcodes (base-16 numbers): CSci 127 (Hunter) Lecture 3 13 September / 34
84 Colors Can specify by numbers (RGB): Fractions of each: e.g. (1.0, 0, 0) is 100% red, no green, and no blue. 8-bit colors: numbers from 0 to 255: e.g. (0, 255, 0) is no red, 100% green, and no blue. Hexcodes (base-16 numbers): e.g. #0000FF is no red, no green, and 100% blue. CSci 127 (Hunter) Lecture 3 13 September / 34
85 In Pairs or Triples... Some review and some novel challenges: CSci 127 (Hunter) Lecture 3 13 September / 34
86 Trinkets (Demo with trinkets) CSci 127 (Hunter) Lecture 3 13 September / 34
87 Images CSci 127 (Hunter) Lecture 3 13 September / 34
88 Images We will use the standard portable network graphics (PNG) file format. CSci 127 (Hunter) Lecture 3 13 September / 34
89 Images We will use the standard portable network graphics (PNG) file format. Saves every picture element (or pixel ) CSci 127 (Hunter) Lecture 3 13 September / 34
90 Images We will use the standard portable network graphics (PNG) file format. Saves every picture element (or pixel ) often called a lossless format. CSci 127 (Hunter) Lecture 3 13 September / 34
91 Images We will use the standard portable network graphics (PNG) file format. Saves every picture element (or pixel ) often called a lossless format. Keeps track of the amount of red, blue, and green of each pixel. CSci 127 (Hunter) Lecture 3 13 September / 34
92 Images CSci 127 (Hunter) Lecture 3 13 September / 34
93 Images CSci 127 (Hunter) Lecture 3 13 September / 34
94 Images CSci 127 (Hunter) Lecture 3 13 September / 34
95 Images CSci 127 (Hunter) Lecture 3 13 September / 34
96 Images CSci 127 (Hunter) Lecture 3 13 September / 34
97 Useful Packages We will use 2 useful packages for images: CSci 127 (Hunter) Lecture 3 13 September / 34
98 Useful Packages We will use 2 useful packages for images: numpy: numerical analysis package CSci 127 (Hunter) Lecture 3 13 September / 34
99 Useful Packages We will use 2 useful packages for images: numpy: numerical analysis package pyplot: part of matplotlib for making graphs and plots CSci 127 (Hunter) Lecture 3 13 September / 34
100 Useful Packages We will use 2 useful packages for images: numpy: numerical analysis package pyplot: part of matplotlib for making graphs and plots See lab notes for installing on your home machine. CSci 127 (Hunter) Lecture 3 13 September / 34
101 Images with pyplot and numpy CSci 127 (Hunter) Lecture 3 13 September / 34
102 More on numpy arrays numpy tutorial CSci 127 (Hunter) Lecture 3 13 September / 34
103 In Pairs or Triples... Some review and some novel challenges: CSci 127 (Hunter) Lecture 3 13 September / 34
104 Python Tutor (Demo with idle3) CSci 127 (Hunter) Lecture 3 13 September / 34
105 Recap Indexing and Slicing Lists Colors Hexadecimal Notation 2D Arrays & Image Files CSci 127 (Hunter) Lecture 3 13 September / 34
106 CS Surveys Survey of research at Hunter & tech industry in NYC... CSci 127 (Hunter) Lecture 3 13 September / 34
107 CS Survey: Prof. St. John, computational biology CSci 127 (Hunter) Lecture 3 13 September / 34
108 CS Survey: Prof. St. John, computational biology (American Museum of Natural History) CSci 127 (Hunter) Lecture 3 13 September / 34
109 CS Survey: Prof. St. John, computational biology (American Museum of Natural History) CSci 127 (Hunter) Lecture 3 13 September / 34
110 CS Survey: Prof. St. John, computational biology (American Museum of Natural History) Finding optimal evolutionary histories for biological data. Computationally hard questions. Collaborate with biologists & anthropologists at AMNH, & team of undergraduate researchers. CSci 127 (Hunter) Lecture 3 13 September / 34
111 Lecture Slips & Writing Boards Turn in lecture slips & writing boards as you leave... CSci 127 (Hunter) Lecture 3 13 September / 34
SSR SSR SSR SSR
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