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MongoDB with Async Python

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7:18:07

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  • 001. Introducing the Course.mp4
    00:53
  • 002. MongoDB is Loed.mp4
    03:05
  • 003. MongoDB is fast.mp4
    03:43
  • 004. Pythons asyncio.mp4
    02:40
  • 005. What is Beanie and What is an ODM.mp4
    04:27
  • 006. Course Topics.mp4
    03:43
  • 007. Meet Your Instructor Michael Kennedy.mp4
    01:14
  • 008. Setup Introduction.mp4
    02:22
  • 009. Installing MongoDB.mp4
    02:13
  • 010. Studio 3T GUI.mp4
    01:15
  • 011. Importing PyPI Data.mp4
    02:34
  • 012. Verifying the Data with Studio 3T.mp4
    02:29
  • 013. Document Dbs introduction.mp4
    01:03
  • 014. How Document Databases Work.mp4
    03:26
  • 015. Who uses MongoDB.mp4
    03:00
  • 016. Mongo Shell.mp4
    02:12
  • 017. A More Complex Query.mp4
    01:33
  • 018. And Operators in Queries.mp4
    01:08
  • 019. Querying Embedded Data.mp4
    01:40
  • 020. Studio 3T- A Better Shell.mp4
    02:04
  • 021. Query Operators.mp4
    02:54
  • 022. Queries- Logical Operators.mp4
    00:49
  • 023. Queries- Projections.mp4
    04:23
  • 024. Pydantic Introduction.mp4
    00:48
  • 025. A Time of Change for Pydantic.mp4
    02:11
  • 026. Get the Plugins.mp4
    01:02
  • 027. Built on Pydantic.mp4
    04:00
  • 028. Project Setup.mp4
    05:10
  • 029. Our First Pydantic Model.mp4
    06:19
  • 030. JSON to Pydantic Conerter.mp4
    05:35
  • 031. Get the Full Story on Pydantic.mp4
    00:55
  • 032. Pydantic has a Solid Foundation.mp4
    01:18
  • 033. Async introduction.mp4
    01:23
  • 034. Async for Speed.mp4
    04:06
  • 035. Async for Scalability.mp4
    01:01
  • 036. Synchronous Execution Example.mp4
    04:01
  • 037. Asynchronous Execution Example.mp4
    02:20
  • 038. Skeleton async Program.mp4
    08:26
  • 039. Full Concurrency Weather Client.mp4
    07:48
  • 040. Beanie Quickstart Intro.mp4
    00:44
  • 041. Motor, MongoDBs Async Drier.mp4
    01:48
  • 042. Beanie Quickstart- Part 1 Classes.mp4
    12:22
  • 043. Beanie Quickstart- Part 2 Connections.mp4
    10:42
  • 044. Beanie Quickstart- Part 3 Inserts.mp4
    04:01
  • 045. Beanie Quickstart- Part 4 Queries.mp4
    08:43
  • 046. Beanie Quickstart- part 5 settings.mp4
    05:28
  • 047. Lightning Reiew of Beanie.mp4
    03:12
  • 048. Get the Full Story of Beanie.mp4
    00:40
  • 049. Bunnet, the Synchronous Beanie.mp4
    01:15
  • 050. Modeling Introduction.mp4
    00:57
  • 051. Modeling- Relational s. Documents.mp4
    03:27
  • 052. To Embed or not to Embed.mp4
    05:11
  • 053. What is an Integration Database.mp4
    03:11
  • 054. Looking for More Guidance.mp4
    00:39
  • 055. PyPI Api Introduction.mp4
    00:46
  • 056. Recall- Importing the Data.mp4
    01:03
  • 057. Reiew- The Data Model.mp4
    05:14
  • 058. Creating the DB Models.mp4
    08:34
  • 059. Configuring Collections from Beanie.mp4
    02:46
  • 060. Connecting to MongoDB.mp4
    04:51
  • 061. CLI Skeleton.mp4
    04:38
  • 062. ClI REPL.mp4
    01:39
  • 063. Summary Stats.mp4
    05:29
  • 064. Recent Packages.mp4
    05:04
  • 065. Finding Packages and Releases.mp4
    10:13
  • 066. Creating a Release.mp4
    07:00
  • 067. Concurrency Safe Create Release.mp4
    11:02
  • 068. Creating Users.mp4
    05:26
  • 069. Setting the Users Password.mp4
    06:44
  • 070. FastAPI Introduction.mp4
    01:23
  • 071. FastAPI Skeleton App.mp4
    06:09
  • 072. API Endpoints Ready.mp4
    08:10
  • 073. Package Details Implementation.mp4
    12:06
  • 074. Sometimes API focused models are required.mp4
    08:35
  • 075. Stats API.mp4
    03:36
  • 076. The Home Page Doesnt Belong in the API Docs.mp4
    02:00
  • 077. Static Files- CSS.mp4
    10:41
  • 078. Introduction to DB Performance.mp4
    00:47
  • 079. Leers and Knobs of MongoDB Performance.mp4
    04:37
  • 080. Creating Indexes in the Shell.mp4
    02:21
  • 081. Our First Python to MongoDB Index.mp4
    08:48
  • 082. Releases Counted in 1ms.mp4
    06:39
  • 083. Uniqueness Index for Users.mp4
    03:47
  • 084. Projections for Packages.mp4
    09:07
  • 085. Concept- Projections in Beanie.mp4
    01:10
  • 086. Document Design from a Performance Perspectie.mp4
    03:51
  • 087. Hosting Introduction.mp4
    01:13
  • 088. Dont Do What These Companies Did with MongoDB.mp4
    02:08
  • 089. MongoDB as a Serice Options.mp4
    02:04
  • 090. MongoDBs Security Checklist.mp4
    02:11
  • 091. Getting the Serer Ready.mp4
    03:12
  • 092. Limit Network Access with VPCs and Firewall.mp4
    05:35
  • 093. Creating an Encryption Key.mp4
    01:17
  • 094. Installing MongoDB 2.mp4
    03:44
  • 095. Configuring MongoDB, Part 1.mp4
    04:39
  • 096. Adding Authentication to MongoDB.mp4
    04:39
  • 097. Connecting to Production MongoDB with Python.mp4
    05:43
  • 098. Importing Data Introduction for Production MongoDB.mp4
    03:05
  • 099. Connecting to a Remote MongoDB.mp4
    06:24
  • 100. Testing our Python Code in Production.mp4
    06:25
  • 101. Final Comments on Speed.mp4
    01:50
  • 102. Load Testing Introduction.mp4
    01:07
  • 103. Introducing Locust.mp4
    04:20
  • 104. Consider a Real Serer Topology.mp4
    01:12
  • 105. Running Locust for Max RPS.mp4
    10:56
  • 106. Running Locust for Max Users.mp4
    09:04
  • 107. Faster Locust Tests.mp4
    01:09
  • 108. Finish Line!.mp4
    00:41
  • 109. Git the Source Code, Again.mp4
    00:29
  • 110. Final Reiew.mp4
    06:10
  • 111. Stay in Touch.mp4
    01:01
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    Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software developers, data scientists, and incredible hobbyists ...
    • language english
    • Training sessions 111
    • duration 7:18:07
    • Release Date 2024/08/01