You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
62 lines
2.7 KiB
Plaintext
62 lines
2.7 KiB
Plaintext
00:00 You've learned a bunch of stuff
|
|
00:01 to program MongoDBs in MongoEngine,
|
|
00:04 but there's actually a lot of other things
|
|
00:06 that you need to take into consideration
|
|
00:08 when you're doing MongoDB in production
|
|
00:10 for real applications.
|
|
00:11 So I want to encourage you to check out my paid course,
|
|
00:15 MongoDB for Python Developers,
|
|
00:17 and just some of the things we're covering,
|
|
00:19 you've seen a little bit of it,
|
|
00:20 but there's actually a lot more.
|
|
00:21 So this is over seven hours of professional-grade
|
|
00:24 MongoDB and Python programming,
|
|
00:26 not just MongoEngine, but the core PyMongo,
|
|
00:29 the JavaScript API and so on
|
|
00:31 so let's see a little bit what's covered.
|
|
00:32 So we talk in depth about how to set up your machine,
|
|
00:36 whether it's Windows, Mac, or Linux,
|
|
00:38 the tools that we're going to use,
|
|
00:39 how to get them installed,
|
|
00:41 the theory behind NoSQL,
|
|
00:43 why NoSQL, why document databases,
|
|
00:45 MongoDB's native shell and native query syntax,
|
|
00:48 assuming we run these operations,
|
|
00:50 these queries, filter statements and so on in MongoEngine,
|
|
00:53 how does that map down to the database?
|
|
00:55 This is important
|
|
00:56 because when you're running MongoDB in production,
|
|
00:59 you need to be able to use the tools
|
|
01:01 and the query language to talk to it and manage it, right?
|
|
01:04 And that is in this native query API.
|
|
01:07 How to model data with documents,
|
|
01:09 we did talk about this.
|
|
01:10 We go into more depth in this course.
|
|
01:13 MongoDB from PyMongo, this is the foundation of MongoEngine
|
|
01:17 and basically Python's equivalent
|
|
01:19 of the native query syntax.
|
|
01:21 MongoEngine, we covered a lot of that in this course.
|
|
01:24 This is pretty similar.
|
|
01:25 High-performance techniques,
|
|
01:26 so performance around document design,
|
|
01:28 performance around indexes
|
|
01:30 and using profiling to discover where you need those,
|
|
01:33 so that's covered in this course.
|
|
01:34 And super, super important is how to properly deploy MongoDB
|
|
01:38 in production on the internet so it doesn't get hacked
|
|
01:41 and you don't lose data or anything like that.
|
|
01:44 So if you want to check out this course,
|
|
01:45 here's a tremendously long URL
|
|
01:47 that you very likely don't want to type so type this,
|
|
01:50 bit.ly/mongocourse and that'll take you right there.
|
|
01:53 You can check it out.
|
|
01:53 I encourage you to take this course.
|
|
01:55 If you like what you saw in this course,
|
|
01:57 here's seven more hours going even more in depth.
|
|
02:00 So with that, I want to say thank you.
|
|
02:02 Thank you so much for taking my course.
|
|
02:03 I really hope you learned a lot and you enjoyed it.
|
|
02:05 Please connect with me on Twitter @mkennedy
|
|
02:08 or various other places you find me on the internet.
|
|
02:10 Thanks and see you later.
|