CF

Python 3: Deep Dive (Part 3 - Dictionaries, Sets, JSON)

21h 58m 5s
English
Paid

Delve deep into the world of Python dictionaries and sets with this comprehensive course. Discover how crucial and omnipresent dictionaries are in Python—they form the backbone of classes, modules, namespaces, sets, and more.

Course Overview

Gain a thorough understanding of associative arrays and their implementation via hash maps. Learn how to employ hash functions to enhance your custom classes. Explore Python dictionaries and sets along with the myriad of operations you can perform on them.

What You'll Explore

  • The technical implementation of associative arrays using hash maps

  • Understanding and creating custom hash functions

  • Advanced operations with both Python dictionaries and sets

  • Specialized dictionary structures like OrderedDict and its relation to the built-in dict post Python 3.6

  • Exploring Python's multi-sets through the Counter class

  • Leveraging ChainMap and UserDict for creating custom dictionaries

  • Comprehensive guide on serializing and deserializing dictionaries with JSON

  • Utilizing schemas for custom JSON deserialization

  • An introduction to useful libraries such as JSONSchema, Marshmallow, PyYaml, and Serpy

This is an advanced Python course intended for those who have a strong foundational knowledge of Python.

Prerequisites

To fully benefit from this course, ensure you possess the following skills:

  • A solid understanding of Python basics such as loops, conditionals, and exception handling
  • Knowledge of functions and functional programming (recursion, *args, kwargs, etc.)
  • Familiarity with lambdas, closures, and decorators
  • Ability to work with iterables, iterators, and generators
  • Understanding of variable scopes and namespaces
  • Experience with setting up and using Jupyter Notebooks and third-party library installations (e.g., using pip)

Who This Course is For

This course is ideal for Python developers who aim to deepen their proficiency with dictionaries and related features.

Learning Outcomes

  • Mastering associative arrays
  • Understanding hash tables and functions
  • Mastering Python's hashing implementations
  • Creating and customizing dictionaries
  • Using defaultdict and OrderedDict
  • Implementing Counter and ChainMap
  • Serialization and deserialization techniques
  • Working with JSON performance optimizations
  • Introduction to selected third-party libraries

About the Author: Udemy

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Udemy is the largest open marketplace for online courses on the internet. Founded in 2010 by Eren Bali, Oktay Caglar, and Gagan Biyani and headquartered in San Francisco, the company went public on the Nasdaq in 2021 under the ticker UDMY. The platform hosts well over two hundred thousand courses across software development, IT and cloud, data science, design, business, marketing, and creative skills, taught by tens of thousands of independent instructors. Roughly seventy million learners use it worldwide, and the corporate arm — Udemy Business — supplies a curated subset of that catalog to enterprise customers.

Because Udemy is a marketplace rather than a single editorial publisher, the catalog is uneven by design. The strongest material lives in the long-form, project-based courses authored by working engineers — full-stack JavaScript, React, Node.js, Python data science, AWS, Docker and Kubernetes, mobile development with Flutter and React Native, and cloud certification preparation. The CourseFlix listing under this source is the slice of that catalog that has been mirrored here for offline-friendly viewing, organized by topic and updated as new releases land. Pricing on Udemy itself swings dramatically with the site's near-permanent sales, which is why the platform is best treated as a deep reference catalog: pick instructors with strong reviews and a track record of updating their material rather than buying on the headline price alone.

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#1: 1.1. Course Overview
All Course Lessons (83)
#Lesson TitleDurationAccess
1
1.1. Course Overview Demo
12:57
2
1.2. Prerequisites
07:23
3
2.1. Introduction
03:26
4
2.2. Associative Arrays
05:41
5
2.3. Hash Maps
24:13
6
2.4. Python Dictionaries
09:40
7
2.5. Python's hash() Function
08:04
8
3.1. Introduction
01:14
9
3.2. Creating Dictionaries - Lecture
13:10
10
3.3. Creating Dictionaries - Coding
24:02
11
3.4. Common Operations - Lecture
08:12
12
3.5. Common Operations - Coding
32:44
13
3.6. Dictionary Views - Lecture
10:42
14
3.7. Dictionary Views - Coding
30:13
15
3.8. Updating, Merging, and Copying - Lecture
12:21
16
3.9. Updating, Merging, and Copying - Coding
33:57
17
3.10. Custom Classes and Hashing - Lecture
20:26
18
3.11. Custom Classes and Hashing - Coding
33:55
19
4.1. Exercises
06:22
20
4.2. Solution 1
04:35
21
4.3. Solution 2
02:05
22
4.4. Solution 3
07:15
23
4.5. Solution 4
05:23
24
5.1. Introduction
01:56
25
5.2. Basic Set Theory
12:36
26
5.3. Python Sets
08:59
27
5.4. Creating Sets - Lecture
03:41
28
5.5. Creating Sets - Coding
14:46
29
5.6. Common Operations - Lecture
03:13
30
5.7. Common Operations - Coding
15:18
31
5.8. Set Operations - Lecture
07:47
32
5.9. Set Operations - Coding
20:31
33
5.10. Update Operations - Lecture
06:09
34
5.11. Update Operations - Coding
21:08
35
5.12. Copying Sets - Lecture
01:14
36
5.13. Copying Sets - Coding
08:11
37
5.14. Frozen Sets - Lecture
06:55
38
5.15. Frozen Sets - Coding
26:38
39
5.16. Dictionary Views - Lecture
09:28
40
5.17. Dictionary Views - Coding
27:59
41
6.1. Project 1 - Goals
05:31
42
6.2. Project 1 - Solution
49:38
43
7.1. Introduction
04:30
44
7.2. Pickling - Lecture
05:58
45
7.3. Pickling - Coding
28:48
46
7.4. JSON Serialization - Lecture
07:23
47
7.5. JSON Serialization - Coding
22:30
48
7.6. Custom JSON Encoding - Lecture
02:31
49
7.7. Custom JSON Encoding - Coding
37:37
50
7.8. Using JSONEncoder - Lecture
11:37
51
7.9. Using JSONEncoder - Coding
34:01
52
7.10. Custom JSON Decoding - Lecture
16:36
53
7.11. Custom JSON Decoding - Coding
51:59
54
7.12. Using JSONDecoder - Lecture
01:31
55
7.13. Using JSONDecoder - Coding
41:02
56
7.14. JSON Schema
26:07
57
7.16. PyYaml
18:17
58
7.17. Serpy
08:57
59
8.1. Exercises
03:49
60
8.2. Solution 1
15:22
61
8.3. Solution 2
21:02
62
8.4. Solution 3
17:05
63
9.1. Introduction
02:03
64
9.2. DefaultDict - Lecture
06:34
65
9.3. DefaultDict - Coding
30:47
66
9.4. OrderedDict - Lecture
03:41
67
9.5. OrderedDict - Coding
24:23
68
9.6. OrderedDict and Python 3.6 Dicts
31:45
69
9.7. Counter - Lecture
05:02
70
9.8. Counter - Coding
43:45
71
9.9. ChainMap - Lecture
11:09
72
9.10. ChainMap - Coding
22:45
73
9.11. UserDict - Lecture
05:35
74
9.12. UserDict - Coding
25:39
75
10.1. Exercises
05:36
76
10.2. Solution 1
05:53
77
10.3. Solution 2
04:38
78
10.4. Solution 3
14:30
79
11.1. Python 3.10
25:18
80
11.2. Python 3.9
28:47
81
11.3. Python 3.8 3.7
34:26
82
12.1. The MappingProxy Type
05:52
83
12.2. Marshmallow
33:37
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Books

Read Book Python 3: Deep Dive (Part 3 - Dictionaries, Sets, JSON)

#TitleTypeOpen
11.3. Python Deep Dive 3 PDF
22.2. Associative Arrays PDF
32.3. Hash Maps PDF
42.4. Python Dictionaries PDF
52.5. Python's hash() Function PDF
63.2. Creating Dictionaries PDF
73.4. Common Operations PDF
83.6. Dictionary Views PDF
93.8. Updating, Merging and Copying PDF
103.10. Custom Classes and Hashes PDF
115.2. Set Theory PDF
125.3. Python Sets PDF
135.4. Creating Sets PDF
145.6. Common Operations PDF
155.8. Set Operations PDF
165.10. Update Operations PDF
175.12. Copying Sets PDF
185.14. Frozen Sets PDF
195.16. Dictionary Views PDF
207.2. Pickling PDF
217.4. JSON Serialization PDF
227.6. Custom JSON Encoding PDF
237.8. JSONEncoder Class PDF
247.10. Custom JSON Decoding PDF
257.12. Using the JSONDecoder Class PDF
269.2. DefaultDict PDF
279.4. OrderedDict PDF
289.7. Counters PDF
299.9. ChainMap PDF
309.11. UserDict PDF

Course content

83 lessons · 21h 58m 5s
Show all 83 lessons
  1. 1 1.1. Course Overview 12:57
  2. 2 1.2. Prerequisites 07:23
  3. 3 2.1. Introduction 03:26
  4. 4 2.2. Associative Arrays 05:41
  5. 5 2.3. Hash Maps 24:13
  6. 6 2.4. Python Dictionaries 09:40
  7. 7 2.5. Python's hash() Function 08:04
  8. 8 3.1. Introduction 01:14
  9. 9 3.2. Creating Dictionaries - Lecture 13:10
  10. 10 3.3. Creating Dictionaries - Coding 24:02
  11. 11 3.4. Common Operations - Lecture 08:12
  12. 12 3.5. Common Operations - Coding 32:44
  13. 13 3.6. Dictionary Views - Lecture 10:42
  14. 14 3.7. Dictionary Views - Coding 30:13
  15. 15 3.8. Updating, Merging, and Copying - Lecture 12:21
  16. 16 3.9. Updating, Merging, and Copying - Coding 33:57
  17. 17 3.10. Custom Classes and Hashing - Lecture 20:26
  18. 18 3.11. Custom Classes and Hashing - Coding 33:55
  19. 19 4.1. Exercises 06:22
  20. 20 4.2. Solution 1 04:35
  21. 21 4.3. Solution 2 02:05
  22. 22 4.4. Solution 3 07:15
  23. 23 4.5. Solution 4 05:23
  24. 24 5.1. Introduction 01:56
  25. 25 5.2. Basic Set Theory 12:36
  26. 26 5.3. Python Sets 08:59
  27. 27 5.4. Creating Sets - Lecture 03:41
  28. 28 5.5. Creating Sets - Coding 14:46
  29. 29 5.6. Common Operations - Lecture 03:13
  30. 30 5.7. Common Operations - Coding 15:18
  31. 31 5.8. Set Operations - Lecture 07:47
  32. 32 5.9. Set Operations - Coding 20:31
  33. 33 5.10. Update Operations - Lecture 06:09
  34. 34 5.11. Update Operations - Coding 21:08
  35. 35 5.12. Copying Sets - Lecture 01:14
  36. 36 5.13. Copying Sets - Coding 08:11
  37. 37 5.14. Frozen Sets - Lecture 06:55
  38. 38 5.15. Frozen Sets - Coding 26:38
  39. 39 5.16. Dictionary Views - Lecture 09:28
  40. 40 5.17. Dictionary Views - Coding 27:59
  41. 41 6.1. Project 1 - Goals 05:31
  42. 42 6.2. Project 1 - Solution 49:38
  43. 43 7.1. Introduction 04:30
  44. 44 7.2. Pickling - Lecture 05:58
  45. 45 7.3. Pickling - Coding 28:48
  46. 46 7.4. JSON Serialization - Lecture 07:23
  47. 47 7.5. JSON Serialization - Coding 22:30
  48. 48 7.6. Custom JSON Encoding - Lecture 02:31
  49. 49 7.7. Custom JSON Encoding - Coding 37:37
  50. 50 7.8. Using JSONEncoder - Lecture 11:37
  51. 51 7.9. Using JSONEncoder - Coding 34:01
  52. 52 7.10. Custom JSON Decoding - Lecture 16:36
  53. 53 7.11. Custom JSON Decoding - Coding 51:59
  54. 54 7.12. Using JSONDecoder - Lecture 01:31
  55. 55 7.13. Using JSONDecoder - Coding 41:02
  56. 56 7.14. JSON Schema 26:07
  57. 57 7.16. PyYaml 18:17
  58. 58 7.17. Serpy 08:57
  59. 59 8.1. Exercises 03:49
  60. 60 8.2. Solution 1 15:22
  61. 61 8.3. Solution 2 21:02
  62. 62 8.4. Solution 3 17:05
  63. 63 9.1. Introduction 02:03
  64. 64 9.2. DefaultDict - Lecture 06:34
  65. 65 9.3. DefaultDict - Coding 30:47
  66. 66 9.4. OrderedDict - Lecture 03:41
  67. 67 9.5. OrderedDict - Coding 24:23
  68. 68 9.6. OrderedDict and Python 3.6 Dicts 31:45
  69. 69 9.7. Counter - Lecture 05:02
  70. 70 9.8. Counter - Coding 43:45
  71. 71 9.9. ChainMap - Lecture 11:09
  72. 72 9.10. ChainMap - Coding 22:45
  73. 73 9.11. UserDict - Lecture 05:35
  74. 74 9.12. UserDict - Coding 25:39
  75. 75 10.1. Exercises 05:36
  76. 76 10.2. Solution 1 05:53
  77. 77 10.3. Solution 2 04:38
  78. 78 10.4. Solution 3 14:30
  79. 79 11.1. Python 3.10 25:18
  80. 80 11.2. Python 3.9 28:47
  81. 81 11.3. Python 3.8 3.7 34:26
  82. 82 12.1. The MappingProxy Type 05:52
  83. 83 12.2. Marshmallow 33:37

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What is Python 3: Deep Dive (Part 3 - Dictionaries, Sets, JSON) about?
Delve deep into the world of Python dictionaries and sets with this comprehensive course. Discover how crucial and omnipresent dictionaries are in Python—they form the backbone of classes, modules, namespaces, sets, and more. Course…
Who teaches this course?
It is taught by Udemy. You can find more courses by this instructor on the corresponding source page.
How long is the course?
It contains 83 lessons with a total runtime of 21 hours 58 minutes. Every lesson is available to watch online at your own pace.
Is it free to watch?
It is part of CourseFlix's premium catalog. A subscription unlocks the full video player; the course description, table of contents, and preview information are available to everyone.
Where can I watch it online?
The course is available to watch online on CourseFlix at https://courseflix.net/course/python-3-deep-dive-part-3-hash-maps. The page hosts every lesson with the integrated video player; no download is required.