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61A Lecture 13 Wednesday, October 2 Announcements 2 Announcements - PowerPoint PPT Presentation

Jan 28, 2023 •294 likes •1.62k views

61A Lecture 13 Wednesday, October 2 Announcements 2 Announcements Homework 3 deadline extended to Wednesday 10/2 @ 11:59pm. 2 Announcements Homework 3 deadline extended to Wednesday 10/2 @ 11:59pm. Optional Hog strategy contest due

  1. Representing Strings: the ASCII Standard American Standard Code for Information Interchange 8 rows: 3 bits 9

  2. Representing Strings: the ASCII Standard American Standard Code for Information Interchange 8 rows: 3 bits 16 columns: 4 bits 9

  3. Representing Strings: the ASCII Standard American Standard Code for Information Interchange 8 rows: 3 bits 16 columns: 4 bits • Layout was chosen to support sorting by character code 9

  4. Representing Strings: the ASCII Standard American Standard Code for Information Interchange 8 rows: 3 bits 16 columns: 4 bits • Layout was chosen to support sorting by character code • Rows indexed 2-5 are a useful 6-bit (64 element) subset 9

  5. Representing Strings: the ASCII Standard American Standard Code for Information Interchange 8 rows: 3 bits 16 columns: 4 bits • Layout was chosen to support sorting by character code • Rows indexed 2-5 are a useful 6-bit (64 element) subset • Control characters were designed for transmission 9

  6. Representing Strings: the ASCII Standard American Standard Code for Information Interchange "Line feed" (\n) 8 rows: 3 bits 16 columns: 4 bits • Layout was chosen to support sorting by character code • Rows indexed 2-5 are a useful 6-bit (64 element) subset • Control characters were designed for transmission 9

  7. Representing Strings: the ASCII Standard American Standard Code for Information Interchange "Bell" (\a) "Line feed" (\n) 8 rows: 3 bits 16 columns: 4 bits • Layout was chosen to support sorting by character code • Rows indexed 2-5 are a useful 6-bit (64 element) subset • Control characters were designed for transmission 9

  8. Representing Strings: the ASCII Standard American Standard Code for Information Interchange "Bell" (\a) "Line feed" (\n) 8 rows: 3 bits 16 columns: 4 bits • Layout was chosen to support sorting by character code • Rows indexed 2-5 are a useful 6-bit (64 element) subset • Control characters were designed for transmission (Demo) 9

  9. Representing Strings: the Unicode Standard 10

  10. Representing Strings: the Unicode Standard http://ian-albert.com/unicode_chart/unichart-chinese.jpg 10

  11. Representing Strings: the Unicode Standard • 109,000 characters http://ian-albert.com/unicode_chart/unichart-chinese.jpg 10

  12. Representing Strings: the Unicode Standard • 109,000 characters • 93 scripts (organized) http://ian-albert.com/unicode_chart/unichart-chinese.jpg 10

  13. Representing Strings: the Unicode Standard • 109,000 characters • 93 scripts (organized) • Enumeration of character properties, such as case http://ian-albert.com/unicode_chart/unichart-chinese.jpg 10

  14. Representing Strings: the Unicode Standard • 109,000 characters • 93 scripts (organized) • Enumeration of character properties, such as case • Supports bidirectional display order http://ian-albert.com/unicode_chart/unichart-chinese.jpg 10

  15. Representing Strings: the Unicode Standard • 109,000 characters • 93 scripts (organized) • Enumeration of character properties, such as case • Supports bidirectional display order • A canonical name for every character http://ian-albert.com/unicode_chart/unichart-chinese.jpg 10

  16. Representing Strings: the Unicode Standard • 109,000 characters • 93 scripts (organized) • Enumeration of character properties, such as case • Supports bidirectional display order • A canonical name for every character http://ian-albert.com/unicode_chart/unichart-chinese.jpg U+0058 LATIN CAPITAL LETTER X 10

  17. Representing Strings: the Unicode Standard • 109,000 characters • 93 scripts (organized) • Enumeration of character properties, such as case • Supports bidirectional display order • A canonical name for every character http://ian-albert.com/unicode_chart/unichart-chinese.jpg U+0058 LATIN CAPITAL LETTER X U+263a WHITE SMILING FACE 10

  18. Representing Strings: the Unicode Standard • 109,000 characters • 93 scripts (organized) • Enumeration of character properties, such as case • Supports bidirectional display order • A canonical name for every character http://ian-albert.com/unicode_chart/unichart-chinese.jpg U+0058 LATIN CAPITAL LETTER X U+263a WHITE SMILING FACE U+2639 WHITE FROWNING FACE 10

  19. Representing Strings: the Unicode Standard • 109,000 characters • 93 scripts (organized) • Enumeration of character properties, such as case • Supports bidirectional display order • A canonical name for every character http://ian-albert.com/unicode_chart/unichart-chinese.jpg U+0058 LATIN CAPITAL LETTER X ' ☺ ' U+263a WHITE SMILING FACE U+2639 WHITE FROWNING FACE 10

  20. Representing Strings: the Unicode Standard • 109,000 characters • 93 scripts (organized) • Enumeration of character properties, such as case • Supports bidirectional display order • A canonical name for every character http://ian-albert.com/unicode_chart/unichart-chinese.jpg U+0058 LATIN CAPITAL LETTER X ' ☺ ' ' ☹ ' U+263a WHITE SMILING FACE U+2639 WHITE FROWNING FACE 10

  21. Representing Strings: the Unicode Standard • 109,000 characters • 93 scripts (organized) • Enumeration of character properties, such as case • Supports bidirectional display order • A canonical name for every character http://ian-albert.com/unicode_chart/unichart-chinese.jpg U+0058 LATIN CAPITAL LETTER X ' ☺ ' ' ☹ ' U+263a WHITE SMILING FACE U+2639 WHITE FROWNING FACE (Demo) 10

  22. Representing Strings: UTF-8 Encoding 11

  23. Representing Strings: UTF-8 Encoding UTF (UCS (Universal Character Set) Transformation Format) 11

  24. Representing Strings: UTF-8 Encoding UTF (UCS (Universal Character Set) Transformation Format) Unicode: Correspondence between characters and integers 11

  25. Representing Strings: UTF-8 Encoding UTF (UCS (Universal Character Set) Transformation Format) Unicode: Correspondence between characters and integers UTF-8: Correspondence between those integers and bytes 11

  26. Representing Strings: UTF-8 Encoding UTF (UCS (Universal Character Set) Transformation Format) Unicode: Correspondence between characters and integers UTF-8: Correspondence between those integers and bytes A byte is 8 bits and can encode any integer 0-255. 11

  27. Representing Strings: UTF-8 Encoding UTF (UCS (Universal Character Set) Transformation Format) Unicode: Correspondence between characters and integers UTF-8: Correspondence between those integers and bytes A byte is 8 bits and can encode any integer 0-255. bytes 11

  28. Representing Strings: UTF-8 Encoding UTF (UCS (Universal Character Set) Transformation Format) Unicode: Correspondence between characters and integers UTF-8: Correspondence between those integers and bytes A byte is 8 bits and can encode any integer 0-255. bytes integers 11

  29. Representing Strings: UTF-8 Encoding UTF (UCS (Universal Character Set) Transformation Format) Unicode: Correspondence between characters and integers UTF-8: Correspondence between those integers and bytes A byte is 8 bits and can encode any integer 0-255. 00000000 0 bytes integers 11

  30. Representing Strings: UTF-8 Encoding UTF (UCS (Universal Character Set) Transformation Format) Unicode: Correspondence between characters and integers UTF-8: Correspondence between those integers and bytes A byte is 8 bits and can encode any integer 0-255. 00000000 0 00000001 1 bytes integers 11

  31. Representing Strings: UTF-8 Encoding UTF (UCS (Universal Character Set) Transformation Format) Unicode: Correspondence between characters and integers UTF-8: Correspondence between those integers and bytes A byte is 8 bits and can encode any integer 0-255. 00000000 0 00000001 1 bytes integers 00000010 2 11

  32. Representing Strings: UTF-8 Encoding UTF (UCS (Universal Character Set) Transformation Format) Unicode: Correspondence between characters and integers UTF-8: Correspondence between those integers and bytes A byte is 8 bits and can encode any integer 0-255. 00000000 0 00000001 1 bytes integers 00000010 2 00000011 3 11

  33. Representing Strings: UTF-8 Encoding UTF (UCS (Universal Character Set) Transformation Format) Unicode: Correspondence between characters and integers UTF-8: Correspondence between those integers and bytes A byte is 8 bits and can encode any integer 0-255. 00000000 0 00000001 1 bytes integers 00000010 2 00000011 3 Variable-length encoding: integers vary in the number of bytes required to encode them. 11

  34. Representing Strings: UTF-8 Encoding UTF (UCS (Universal Character Set) Transformation Format) Unicode: Correspondence between characters and integers UTF-8: Correspondence between those integers and bytes A byte is 8 bits and can encode any integer 0-255. 00000000 0 00000001 1 bytes integers 00000010 2 00000011 3 Variable-length encoding: integers vary in the number of bytes required to encode them. In Python: string length is measured in characters, bytes length in bytes. 11

  35. Representing Strings: UTF-8 Encoding UTF (UCS (Universal Character Set) Transformation Format) Unicode: Correspondence between characters and integers UTF-8: Correspondence between those integers and bytes A byte is 8 bits and can encode any integer 0-255. 00000000 0 00000001 1 bytes integers 00000010 2 00000011 3 Variable-length encoding: integers vary in the number of bytes required to encode them. In Python: string length is measured in characters, bytes length in bytes. (Demo) 11

  36. Sequence Processing

  37. Sequence Processing 13

  38. Sequence Processing Consider two problems: 13

  39. Sequence Processing Consider two problems:  Sum the even members of the first n Fibonacci numbers. 13

  40. Sequence Processing Consider two problems:  Sum the even members of the first n Fibonacci numbers.  List the letters in the acronym for a name, which includes the first letter of each capitalized word. 13

  41. Sequence Processing Consider two problems:  Sum the even members of the first n Fibonacci numbers.  List the letters in the acronym for a name, which includes the first letter of each capitalized word. 13

  42. Sequence Processing Consider two problems:  Sum the even members of the first n Fibonacci numbers.  List the letters in the acronym for a name, which includes the first letter of each capitalized word. enumerate naturals: 13

  43. Sequence Processing Consider two problems:  Sum the even members of the first n Fibonacci numbers.  List the letters in the acronym for a name, which includes the first letter of each capitalized word. enumerate naturals: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11. 13

  44. Sequence Processing Consider two problems:  Sum the even members of the first n Fibonacci numbers.  List the letters in the acronym for a name, which includes the first letter of each capitalized word. enumerate naturals: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11. map fib: 13

  45. Sequence Processing Consider two problems:  Sum the even members of the first n Fibonacci numbers.  List the letters in the acronym for a name, which includes the first letter of each capitalized word. enumerate naturals: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11. map fib: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55. 13

  46. Sequence Processing Consider two problems:  Sum the even members of the first n Fibonacci numbers.  List the letters in the acronym for a name, which includes the first letter of each capitalized word. enumerate naturals: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11. map fib: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55. filter even: 13

  47. Sequence Processing Consider two problems:  Sum the even members of the first n Fibonacci numbers.  List the letters in the acronym for a name, which includes the first letter of each capitalized word. enumerate naturals: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11. map fib: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55. filter even: 13

  48. Sequence Processing Consider two problems:  Sum the even members of the first n Fibonacci numbers.  List the letters in the acronym for a name, which includes the first letter of each capitalized word. enumerate naturals: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11. map fib: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55. filter even: 0, 2, 8, 34, . 13

  49. Sequence Processing Consider two problems:  Sum the even members of the first n Fibonacci numbers.  List the letters in the acronym for a name, which includes the first letter of each capitalized word. enumerate naturals: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11. map fib: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55. filter even: 0, 2, 8, 34, . accumulate sum: 13

  50. Sequence Processing Consider two problems:  Sum the even members of the first n Fibonacci numbers.  List the letters in the acronym for a name, which includes the first letter of each capitalized word. enumerate naturals: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11. map fib: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55. filter even: 0, 2, 8, 34, . accumulate sum: ., ., ., ., =44 13

  51. Sequence Processing Consider two problems:  Sum the even members of the first n Fibonacci numbers.  List the letters in the acronym for a name, which includes the first letter of each capitalized word. 14

  52. Sequence Processing Consider two problems:  Sum the even members of the first n Fibonacci numbers.  List the letters in the acronym for a name, which includes the first letter of each capitalized word. 14

  53. Sequence Processing Consider two problems:  Sum the even members of the first n Fibonacci numbers.  List the letters in the acronym for a name, which includes the first letter of each capitalized word. enumerate words: 14

  54. Sequence Processing Consider two problems:  Sum the even members of the first n Fibonacci numbers.  List the letters in the acronym for a name, which includes the first letter of each capitalized word. enumerate words: 'University', 'of', 'California', 'Berkeley' 14

  55. Sequence Processing Consider two problems:  Sum the even members of the first n Fibonacci numbers.  List the letters in the acronym for a name, which includes the first letter of each capitalized word. enumerate words: 'University', 'of', 'California', 'Berkeley' filter capitalized: 14

  56. Sequence Processing Consider two problems:  Sum the even members of the first n Fibonacci numbers.  List the letters in the acronym for a name, which includes the first letter of each capitalized word. enumerate words: 'University', 'of', 'California', 'Berkeley' filter capitalized: 14

  57. Sequence Processing Consider two problems:  Sum the even members of the first n Fibonacci numbers.  List the letters in the acronym for a name, which includes the first letter of each capitalized word. enumerate words: 'University', 'of', 'California', 'Berkeley' filter capitalized: 'University', 'California', 'Berkeley' 14

  58. Sequence Processing Consider two problems:  Sum the even members of the first n Fibonacci numbers.  List the letters in the acronym for a name, which includes the first letter of each capitalized word. enumerate words: 'University', 'of', 'California', 'Berkeley' filter capitalized: 'University', 'California', 'Berkeley' map first: 14

  59. Sequence Processing Consider two problems:  Sum the even members of the first n Fibonacci numbers.  List the letters in the acronym for a name, which includes the first letter of each capitalized word. enumerate words: 'University', 'of', 'California', 'Berkeley' filter capitalized: 'University', 'California', 'Berkeley' map first: 'U', 'C', 'B' 14

  60. Sequence Processing Consider two problems:  Sum the even members of the first n Fibonacci numbers.  List the letters in the acronym for a name, which includes the first letter of each capitalized word. enumerate words: 'University', 'of', 'California', 'Berkeley' filter capitalized: 'University', 'California', 'Berkeley' map first: 'U', 'C', 'B' accumulate tuple: 14

  61. Sequence Processing Consider two problems:  Sum the even members of the first n Fibonacci numbers.  List the letters in the acronym for a name, which includes the first letter of each capitalized word. enumerate words: 'University', 'of', 'California', 'Berkeley' filter capitalized: 'University', 'California', 'Berkeley' map first: 'U', 'C', 'B' accumulate tuple: ( 'U', 'C', 'B' ) 14

  62. Mapping a Function over a Sequence Apply a function to each element of the sequence 15

  63. Mapping a Function over a Sequence Apply a function to each element of the sequence >>> alternates = (-1, 2, -3, 4, -5) 15

  64. Mapping a Function over a Sequence Apply a function to each element of the sequence >>> alternates = (-1, 2, -3, 4, -5) >>> tuple(map(abs, alternates)) 15

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