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Премиум
  • Урок 1. 00:00:54
    Introducing the Course
  • Урок 2. 00:03:06
    MongoDB is Loved
  • Урок 3. 00:03:44
    MongoDB is fast
  • Урок 4. 00:02:41
    Python's asyncio
  • Урок 5. 00:04:28
    What is Beanie and What is an ODM?
  • Урок 6. 00:03:44
    Course Topics
  • Урок 7. 00:01:15
    Meet Your Instructor: Michael Kennedy
  • Урок 8. 00:02:23
    Setup Introduction
  • Урок 9. 00:02:14
    Installing MongoDB
  • Урок 10. 00:01:16
    Studio 3T GUI
  • Урок 11. 00:02:35
    Importing PyPI Data
  • Урок 12. 00:02:30
    Verifying the Data with Studio 3T
  • Урок 13. 00:01:04
    Document Dbs introduction
  • Урок 14. 00:03:27
    How Document Databases Work
  • Урок 15. 00:03:01
    Who uses MongoDB?
  • Урок 16. 00:02:13
    Mongo Shell
  • Урок 17. 00:01:34
    A More Complex Query
  • Урок 18. 00:01:09
    And Operators in Queries
  • Урок 19. 00:01:41
    Querying Embedded Data
  • Урок 20. 00:02:04
    Studio 3T: A Better Shell
  • Урок 21. 00:02:55
    Query Operators
  • Урок 22. 00:00:50
    Queries: Logical Operators
  • Урок 23. 00:04:24
    Queries: Projections
  • Урок 24. 00:00:49
    Pydantic Introduction
  • Урок 25. 00:02:12
    A Time of Change for Pydantic
  • Урок 26. 00:01:03
    Get the Plugins
  • Урок 27. 00:04:01
    Built on Pydantic
  • Урок 28. 00:05:11
    Project Setup
  • Урок 29. 00:06:20
    Our First Pydantic Model
  • Урок 30. 00:05:36
    JSON to Pydantic Converter
  • Урок 31. 00:00:56
    Get the Full Story on Pydantic
  • Урок 32. 00:01:19
    Pydantic has a Solid Foundation
  • Урок 33. 00:01:24
    Async introduction
  • Урок 34. 00:04:07
    Async for Speed
  • Урок 35. 00:01:02
    Async for Scalability
  • Урок 36. 00:04:02
    Synchronous Execution Example
  • Урок 37. 00:02:21
    Asynchronous Execution Example
  • Урок 38. 00:08:27
    Skeleton async Program
  • Урок 39. 00:07:49
    Full Concurrency Weather Client
  • Урок 40. 00:00:45
    Beanie Quickstart Intro
  • Урок 41. 00:01:49
    Motor, MongoDB's Async Driver
  • Урок 42. 00:12:23
    Beanie Quickstart: Part 1 Classes
  • Урок 43. 00:10:43
    Beanie Quickstart: Part 2 Connections
  • Урок 44. 00:04:02
    Beanie Quickstart: Part 3 Inserts
  • Урок 45. 00:08:43
    Beanie Quickstart: Part 4 Queries
  • Урок 46. 00:05:29
    Beanie Quickstart: part 5 settings
  • Урок 47. 00:03:13
    Lightning Review of Beanie
  • Урок 48. 00:00:41
    Get the Full Story of Beanie
  • Урок 49. 00:01:16
    Bunnet, the Synchronous Beanie
  • Урок 50. 00:00:58
    Modeling Introduction
  • Урок 51. 00:03:28
    Modeling: Relational vs. Documents
  • Урок 52. 00:05:12
    To Embed or not to Embed?
  • Урок 53. 00:03:12
    What is an Integration Database?
  • Урок 54. 00:00:40
    Looking for More Guidance?
  • Урок 55. 00:00:47
    PyPI Api Introduction
  • Урок 56. 00:01:03
    Recall: Importing the Data
  • Урок 57. 00:05:15
    Review: The Data Model
  • Урок 58. 00:08:35
    Creating the DB Models
  • Урок 59. 00:02:47
    Configuring Collections from Beanie
  • Урок 60. 00:04:52
    Connecting to MongoDB
  • Урок 61. 00:04:39
    CLI Skeleton
  • Урок 62. 00:01:40
    ClI REPL
  • Урок 63. 00:05:30
    Summary Stats
  • Урок 64. 00:05:05
    Recent Packages
  • Урок 65. 00:10:14
    Finding Packages and Releases
  • Урок 66. 00:07:01
    Creating a Release
  • Урок 67. 00:11:03
    Concurrency Safe Create Release
  • Урок 68. 00:05:27
    Creating Users
  • Урок 69. 00:06:45
    Setting the User's Password
  • Урок 70. 00:01:24
    FastAPI Introduction
  • Урок 71. 00:06:10
    FastAPI Skeleton App
  • Урок 72. 00:08:11
    API Endpoints Ready
  • Урок 73. 00:12:07
    Package Details Implementation
  • Урок 74. 00:08:36
    Sometimes API focused models are required
  • Урок 75. 00:03:36
    Stats API
  • Урок 76. 00:02:01
    The Home Page Doesn't Belong in the API Docs
  • Урок 77. 00:10:42
    Static Files: CSS
  • Урок 78. 00:00:48
    Introduction to DB Performance
  • Урок 79. 00:04:38
    Levers and Knobs of MongoDB Performance
  • Урок 80. 00:02:22
    Creating Indexes in the Shell
  • Урок 81. 00:08:49
    Our First Python to MongoDB Index
  • Урок 82. 00:06:40
    Releases Counted in 1ms
  • Урок 83. 00:03:48
    Uniqueness Index for Users
  • Урок 84. 00:09:08
    Projections for Packages
  • Урок 85. 00:01:11
    Concept: Projections in Beanie
  • Урок 86. 00:03:52
    Document Design from a Performance Perspective
  • Урок 87. 00:01:14
    Hosting Introduction
  • Урок 88. 00:02:09
    Don't Do What These Companies Did with MongoDB
  • Урок 89. 00:02:05
    MongoDB as a Service Options
  • Урок 90. 00:02:12
    MongoDB's Security Checklist
  • Урок 91. 00:03:13
    Getting the Server Ready
  • Урок 92. 00:05:36
    Limit Network Access with VPCs and Firewall
  • Урок 93. 00:01:18
    Creating an Encryption Key
  • Урок 94. 00:03:45
    Installing MongoDB
  • Урок 95. 00:04:40
    Configuring MongoDB, Part 1
  • Урок 96. 00:04:40
    Adding Authentication to MongoDB
  • Урок 97. 00:05:44
    Connecting to Production MongoDB with Python
  • Урок 98. 00:03:06
    Importing Data Introduction for Production MongoDB
  • Урок 99. 00:06:25
    Connecting to a Remote MongoDB
  • Урок 100. 00:06:26
    Testing our Python Code in Production
  • Урок 101. 00:01:51
    Final Comments on Speed
  • Урок 102. 00:01:08
    Load Testing Introduction
  • Урок 103. 00:04:21
    Introducing Locust
  • Урок 104. 00:01:13
    Consider a Real Server Topology
  • Урок 105. 00:10:57
    Running Locust for Max RPS
  • Урок 106. 00:09:05
    Running Locust for Max Users
  • Урок 107. 00:01:10
    Faster Locust Tests
  • Урок 108. 00:00:42
    Finish Line!
  • Урок 109. 00:00:30
    Git the Source Code, Again
  • Урок 110. 00:06:11
    Final Review
  • Урок 111. 00:01:02
    Stay in Touch