WEBVTT 1 00:00:00.080 --> 00:00:01.199 Welcome back to the Deep Dive. 2 00:00:01.280 --> 00:00:01.960 Thanks for having me. 3 00:00:02.200 --> 00:00:05.440 Today. We're going deep into the world of Python. Oh 4 00:00:05.480 --> 00:00:08.240 with a little help from the Quick Python Book, second 5 00:00:08.320 --> 00:00:10.080 edition by Naomi R. Seater. 6 00:00:10.359 --> 00:00:12.880 It's a classic for a reason. I mean, we all 7 00:00:12.919 --> 00:00:16.839 know Python's popular, right, but this book really gets into 8 00:00:16.839 --> 00:00:20.239 the why, you know, why it's so well loved, why 9 00:00:20.320 --> 00:00:25.039 people keep using it. It goes beyond just being easy 10 00:00:25.079 --> 00:00:25.719 for beginners. 11 00:00:25.839 --> 00:00:26.440 Definitely. 12 00:00:26.519 --> 00:00:29.760 One thing that really jumped out at me was the 13 00:00:29.839 --> 00:00:35.679 emphasis on balance. Python. It's designed for readability, you know, 14 00:00:36.000 --> 00:00:39.280 without sacrificing the power you need to get things done. Sure, 15 00:00:39.359 --> 00:00:43.200 maybe it's not always the absolute fastest code, but what 16 00:00:43.240 --> 00:00:46.159 you get in return is a language that almost reads 17 00:00:46.200 --> 00:00:47.240 like plain English. 18 00:00:47.280 --> 00:00:49.960 I noticed that too. It's almost like they designed it for, 19 00:00:50.200 --> 00:00:52.679 you know, like humans first, and then figured out how 20 00:00:52.719 --> 00:00:53.920 to make the computers happy. 21 00:00:54.079 --> 00:00:55.960 That's a great way to put it. The indentation thing 22 00:00:56.000 --> 00:00:58.399 is a perfect example. Yeah, in most languages you've got 23 00:00:58.399 --> 00:01:03.520 your curly braces, these blocks of code, but Python it 24 00:01:03.640 --> 00:01:07.000 just uses indentation. And what's interesting is it kind of 25 00:01:07.040 --> 00:01:10.200 forces you to write cleaner code really, because it has 26 00:01:10.239 --> 00:01:12.840 to be visually structured well for it to even work. 27 00:01:13.120 --> 00:01:17.280 So even if I'm like a super messy coder, Python 28 00:01:17.319 --> 00:01:19.760 will like woo me into shape. I like that. 29 00:01:19.840 --> 00:01:22.599 There's a real beauty to it, you know, it's elegant. 30 00:01:23.280 --> 00:01:27.439 The book also dives into data types, which is I 31 00:01:27.439 --> 00:01:30.159 mean essential for any language. It covers the basics to 32 00:01:30.200 --> 00:01:34.040 your lists, your strings. But the discussion on tupples and sets, 33 00:01:34.719 --> 00:01:36.239 that's where things get interesting. 34 00:01:36.359 --> 00:01:37.920 Okay, so this is where I get a little fuzzy. 35 00:01:37.920 --> 00:01:40.560 I'll be honest. Oh yeah, I always mix up tuples 36 00:01:40.560 --> 00:01:41.040 and lists. 37 00:01:41.319 --> 00:01:43.719 Ah yeah, a lot of people do. 38 00:01:44.040 --> 00:01:45.040 What's the deal with those? Again? 39 00:01:45.200 --> 00:01:47.040 Think of a list, right, It's like your shopping list. 40 00:01:47.560 --> 00:01:49.599 You can add things, you can take things away, you 41 00:01:49.599 --> 00:01:53.560 can rearrange the orders. It's flexible, makes sense. But a tupple, 42 00:01:53.760 --> 00:01:56.920 on the other hand, that's fixed. It's more like a 43 00:01:56.959 --> 00:01:59.959 record of an event, like the date, the time, the location. 44 00:02:00.560 --> 00:02:02.079 That information doesn't get to change. 45 00:02:02.120 --> 00:02:04.599 So tuples, they're like set in stone pretty much. 46 00:02:04.680 --> 00:02:04.959 Yeah. 47 00:02:05.040 --> 00:02:07.640 But why even have them then, I mean, why not 48 00:02:07.760 --> 00:02:09.080 just use lists for everything? 49 00:02:09.240 --> 00:02:13.280 Well, that immutability, that fixed nature of tuples, it makes 50 00:02:13.319 --> 00:02:17.039 them really efficient for certain tasks. And behind the scenes, 51 00:02:17.360 --> 00:02:20.840 Python uses tuples in some really clever ways, especially when 52 00:02:20.879 --> 00:02:21.840 it comes to functions. 53 00:02:21.919 --> 00:02:26.120 Wait, hold on, yeah, tuples are linked to functions, happens. 54 00:02:26.159 --> 00:02:30.120 So remember how Python lets you pass arguments to functions 55 00:02:30.159 --> 00:02:32.360 in like a bunch of different ways. Oh yeah, you 56 00:02:32.400 --> 00:02:35.800 get your positional arguments, your keyword arguments right right. It 57 00:02:35.840 --> 00:02:38.840 gets kind of wild, it does. But those features, those 58 00:02:38.919 --> 00:02:41.759 flexible ways of working with functions, they were like heavily 59 00:02:41.800 --> 00:02:44.719 on tuples behind the scenes. That's what's going on. 60 00:02:44.919 --> 00:02:50.280 So it's like Python's internal organization system using tuples to 61 00:02:50.919 --> 00:02:53.639 like handle all these different ways you can feed information 62 00:02:53.680 --> 00:02:54.879 into a function exactly. 63 00:02:54.919 --> 00:02:56.879 It's a bit of a hidden superpower of tuples. 64 00:02:57.000 --> 00:02:59.719 Okay, what about sets then? What does the book say 65 00:02:59.719 --> 00:03:00.360 about those? 66 00:03:00.840 --> 00:03:05.120 So sets are all about membership and uniqueness. Imagine you're 67 00:03:05.199 --> 00:03:07.840 organizing a conference, right, You got to keep track of 68 00:03:07.840 --> 00:03:11.680 who's coming, no duplicates allowed. You need to quickly check 69 00:03:11.680 --> 00:03:14.120 if someone's registered. That's what sets excel as. 70 00:03:14.240 --> 00:03:17.639 So it's like the velvet rope of data structures. Only 71 00:03:17.680 --> 00:03:20.719 the unique, only the special ones get in. What else 72 00:03:20.719 --> 00:03:25.520 stood out to you about Python's way of handling data, Well. 73 00:03:25.360 --> 00:03:28.400 One of the coolest things is how Python treats everything 74 00:03:28.479 --> 00:03:32.639 as an object, even simple stuff like numbers, strings, they're 75 00:03:32.680 --> 00:03:33.319 all objects. 76 00:03:33.439 --> 00:03:36.520 Wait seriously, Yeah, so every time I type hello world, 77 00:03:36.800 --> 00:03:38.360 I'm creating an object. 78 00:03:38.400 --> 00:03:40.560 Yep. It's like Python's secret sauce. 79 00:03:40.759 --> 00:03:41.719 That's pretty wild. 80 00:03:41.800 --> 00:03:44.840 And this idea that everything's an object. It unlocks some 81 00:03:44.919 --> 00:03:48.759 really powerful techniques, especially with something called metaprogramming. 82 00:03:49.000 --> 00:03:51.240 Oh yeah, the book mentioned that. I got to admit 83 00:03:51.280 --> 00:03:54.280 that chapter went a little over my head. What is metaprogramming? 84 00:03:54.560 --> 00:03:58.960 It's well, imagine writing code that writes other code. Whoa, 85 00:03:59.000 --> 00:04:03.400 It's like it's like programming on steroids. Sounds intense, it is, 86 00:04:04.000 --> 00:04:06.199 But it lets you do things like, say you want 87 00:04:06.240 --> 00:04:09.159 to create classes dynamically based on what the user does, 88 00:04:09.319 --> 00:04:12.960 or even change how existing functions work without even touching 89 00:04:12.960 --> 00:04:13.879 the original code. 90 00:04:13.919 --> 00:04:15.840 So it's like it's like you're giving your code the 91 00:04:15.879 --> 00:04:18.360 ability to learn and adapt. 92 00:04:18.000 --> 00:04:21.560 On the fly in a way. Yeah, it's a powerful tool, 93 00:04:21.879 --> 00:04:24.920 okay for complex systems building abstractions. 94 00:04:25.040 --> 00:04:28.839 So Python simple on the surface, but with like hidden depths. 95 00:04:29.000 --> 00:04:30.600 That's a great way to put it. It lets you 96 00:04:30.639 --> 00:04:33.319 start small and gradually work your way up to these 97 00:04:33.360 --> 00:04:34.560 really powerful concepts. 98 00:04:34.639 --> 00:04:36.600 All right, so we've got our data types, but how 99 00:04:37.560 --> 00:04:39.600 do we make Python do things? Tell me about the 100 00:04:39.639 --> 00:04:40.279 control flow. 101 00:04:40.560 --> 00:04:44.160 Well, the book does a great job of covering those essentials. Okay, 102 00:04:44.279 --> 00:04:48.560 you know you're if el if else's statements for decision making, 103 00:04:49.040 --> 00:04:52.079 your four loops for iterating over things, and while loops 104 00:04:52.079 --> 00:04:54.000 for when you need to repeat something until a certain 105 00:04:54.000 --> 00:04:54.839 condition is met. 106 00:04:54.959 --> 00:04:58.199 It's like you're learning the grammar vocabulary of the language 107 00:04:58.240 --> 00:04:59.720 before you can start writing poetry. 108 00:05:00.040 --> 00:05:03.079 One thing I found interesting is the emphasis on indentation 109 00:05:03.839 --> 00:05:05.319 in Python's control flow. 110 00:05:05.519 --> 00:05:07.040 Yeah, we touched on that earlier. 111 00:05:07.199 --> 00:05:11.079 It's not just about style. It's fundamental to how Python 112 00:05:11.160 --> 00:05:14.399 interprets your code. It's a core part of the language. 113 00:05:14.040 --> 00:05:16.000 Right, And I remember when I was first learning Python. 114 00:05:16.040 --> 00:05:18.120 That tripped me up so many times. 115 00:05:18.279 --> 00:05:18.759 Uh huh. 116 00:05:18.800 --> 00:05:22.600 You forget one little indent and your whole program just explodes. 117 00:05:22.839 --> 00:05:25.160 It's a learning curve, for sure, But once you get 118 00:05:25.240 --> 00:05:26.839 used to it, it's like you start to see the 119 00:05:26.839 --> 00:05:27.360 beauty in it. 120 00:05:27.560 --> 00:05:31.000 Yeah, it's nice knowing that Python will catch those indentation errors. 121 00:05:31.079 --> 00:05:34.240 Oh absolutely, it's a lifesaver. It prevents so many bugs. 122 00:05:34.319 --> 00:05:38.600 So indentation isn't just a suggestion, it's the law in Python. 123 00:05:38.680 --> 00:05:39.600 That's a good way to put it. 124 00:05:39.680 --> 00:05:43.240 Okay, so we've got our data types, our control flow. 125 00:05:43.480 --> 00:05:46.839 What's next in Python's world, what's the next building block? 126 00:05:47.120 --> 00:05:50.160 Well, the next logical step is to take all that 127 00:05:50.240 --> 00:05:54.319 code and start bundling it into reusable chunks. And that's 128 00:05:54.319 --> 00:05:56.879 where functions come in. Right. Let me tell you, the 129 00:05:56.879 --> 00:05:58.519 book has a lot to say about functions. 130 00:05:58.600 --> 00:06:00.879 Okay, well, let's dive into that in. 131 00:06:00.879 --> 00:06:03.120 Just a bit. Sounds good functions, you know that they're 132 00:06:03.199 --> 00:06:06.199 like the workhorses of Python. Okay, they take input, do 133 00:06:06.319 --> 00:06:08.399 something with it, and then they spit out a result. 134 00:06:08.759 --> 00:06:09.240 Makes sense. 135 00:06:09.480 --> 00:06:12.040 The book, it goes into their structure, you know, all 136 00:06:12.079 --> 00:06:16.160 the details. But what really struck me is how flexible 137 00:06:16.199 --> 00:06:17.000 they are in Python. 138 00:06:17.720 --> 00:06:19.959 Yeah, it's like Python gives you all these tools to 139 00:06:20.160 --> 00:06:24.160 like customize how your functions work, all those options for 140 00:06:24.319 --> 00:06:28.560 arguments and setting default values. It's it's pretty powerful. 141 00:06:28.600 --> 00:06:30.920 And then you have those special parameters. 142 00:06:30.399 --> 00:06:33.399 Yeah, the arcs and quarks right, right. 143 00:06:33.319 --> 00:06:35.120 That's that's genius if you ask me. 144 00:06:35.319 --> 00:06:38.879 I know, it always seemed a bit like magic, it does, 145 00:06:38.959 --> 00:06:41.680 but it's it's a really elegant way to let you 146 00:06:41.800 --> 00:06:45.600 define functions that can handle you know, a very number 147 00:06:45.600 --> 00:06:46.160 of arguments. 148 00:06:46.279 --> 00:06:46.480 Right. 149 00:06:46.680 --> 00:06:48.040 It's a game changer. 150 00:06:48.199 --> 00:06:50.319 Yeah, especially when you're dealing with data that could come 151 00:06:50.360 --> 00:06:52.240 in all sorts of different shapes and sizes. 152 00:06:52.480 --> 00:06:52.800 Exactly. 153 00:06:53.040 --> 00:06:55.480 Python just thought of everything, and. 154 00:06:55.519 --> 00:06:58.360 The book it breaks it down really well, all these concepts. 155 00:06:58.800 --> 00:07:02.160 It shows you how they Python functions so adaptable, and 156 00:07:02.199 --> 00:07:03.959 it ties back to what we were talking about earlier 157 00:07:03.959 --> 00:07:06.720 with the toobls and dictionary. Right, those are essential for 158 00:07:06.800 --> 00:07:08.480 making this all work behind the scenes. 159 00:07:09.079 --> 00:07:12.160 So, Okay, we've got our code, it's neatly packaged into 160 00:07:12.160 --> 00:07:16.319 these functions. But then as our programs grow, how do 161 00:07:16.399 --> 00:07:18.399 we keep things from getting messy. 162 00:07:18.800 --> 00:07:21.519 Well, that's where modules and packages come in, right, think 163 00:07:21.519 --> 00:07:24.279 about organizing your tools. You got your toolbox. You have 164 00:07:24.319 --> 00:07:25.759 different drawers, different compartments. 165 00:07:25.879 --> 00:07:28.160 Yeah, so it's like modules or the drawers and packages 166 00:07:28.160 --> 00:07:30.120 are like the whole toolbox. 167 00:07:30.199 --> 00:07:35.879 Perfect analogy. Yeah, the book really emphasizes this. How as 168 00:07:35.879 --> 00:07:39.759 your Python projects grow, you need to think about this organization. 169 00:07:40.279 --> 00:07:43.120 How do we use your code? Modules that are like 170 00:07:43.160 --> 00:07:48.160 those individual drawers. They hold related functions and classes and variables, 171 00:07:48.240 --> 00:07:50.839 you know, things that go together. And then the packages 172 00:07:51.079 --> 00:07:54.279 those are like the cabinets. They group related modules and then. 173 00:07:54.199 --> 00:07:56.839 You can you can import them into your main programs. Exactly, 174 00:07:56.839 --> 00:07:58.800 like just grab the right tool for the job. 175 00:07:59.000 --> 00:08:02.199 It's like having a well stocked workshop. You know everything's 176 00:08:02.199 --> 00:08:02.839 where it needs. 177 00:08:02.680 --> 00:08:04.199 To be and you know where to find it. 178 00:08:04.600 --> 00:08:06.920 The book doesn't just tell you what they are. It 179 00:08:06.959 --> 00:08:11.199 goes into how to design them well, best practices all that, right. 180 00:08:11.240 --> 00:08:14.199 I remember it talked about that in it dot PI file. 181 00:08:14.800 --> 00:08:20.160 How it's crucial for defining packages and controlling what gets imported. 182 00:08:20.319 --> 00:08:23.560 It's like setting the ground rules for how different parts 183 00:08:23.560 --> 00:08:24.879 of your code can talk to each other. 184 00:08:24.959 --> 00:08:27.199 Okay, and then there's a whole thing about scoping rules 185 00:08:27.399 --> 00:08:30.480 local versus global variables that can be a bit tricky. 186 00:08:30.839 --> 00:08:33.960 It is a fundamental concept and the book I think 187 00:08:34.120 --> 00:08:37.879 explains it really well. Scoping rules determine which parts of 188 00:08:37.919 --> 00:08:40.799 your code can see and use which variables. You know, 189 00:08:40.799 --> 00:08:44.480 it's like some variables have a backstage pass they can 190 00:08:44.519 --> 00:08:46.799 go anywhere, others are more restricted. 191 00:08:46.960 --> 00:08:50.519 It helps prevent those those naming conflicts absolutely and make 192 00:08:50.559 --> 00:08:52.759 sure your code behaves the way you expect it to. 193 00:08:53.000 --> 00:08:56.039 Yeah, so you don't have variables accidentally overwriting each other. 194 00:08:56.679 --> 00:08:59.360 Speaking of things that can cause problems, the book also 195 00:08:59.399 --> 00:09:02.559 talks about file system interactions. Oh, for sure, that's something 196 00:09:02.639 --> 00:09:05.679 you know, every programmer has to deal with at some point. 197 00:09:05.840 --> 00:09:09.720 It's essential and Python makes it really easy, you know, 198 00:09:09.759 --> 00:09:13.960 working with files directories. The book introduces the ASP module 199 00:09:14.159 --> 00:09:17.120 and that os dot path submodule. They've got a ton 200 00:09:17.159 --> 00:09:19.080 of useful functions for navigating all. 201 00:09:18.960 --> 00:09:22.240 That, right, like getting the current directory, changing directories, building 202 00:09:22.240 --> 00:09:25.559 file paths. It's like having a GPS for your code exactly. 203 00:09:26.120 --> 00:09:28.919 And then there's reading and writing files, you know, that's 204 00:09:28.960 --> 00:09:32.000 how we actually interact with data that's stored on our 205 00:09:32.000 --> 00:09:37.639 hard drives. The book covers those core functions too, like open, read, write. 206 00:09:37.720 --> 00:09:40.240 It's like learning to read and write, but for your computer. 207 00:09:40.519 --> 00:09:44.200 And it emphasizes, you know, the importance of closing those 208 00:09:44.200 --> 00:09:45.720 files properly when you're. 209 00:09:45.559 --> 00:09:48.759 Done, very important, otherwise you can run into problems. But 210 00:09:49.039 --> 00:09:52.159 the book doesn't stop at just the basics. It touches 211 00:09:52.200 --> 00:09:55.720 on some more advanced stuff too, like binary data okay, 212 00:09:55.840 --> 00:09:59.159 using that strec module, and then object serialization using the. 213 00:09:59.159 --> 00:10:03.559 Pickle module module. That's how Python preserves objects, right yep, 214 00:10:03.720 --> 00:10:05.840 turns them into like a byte stream. 215 00:10:06.039 --> 00:10:08.200 It's like you know in those SIFA movies where they 216 00:10:08.240 --> 00:10:08.840 freeze people. 217 00:10:08.919 --> 00:10:11.000 Oh yeah, first space travel, right, it's like that. But 218 00:10:11.039 --> 00:10:13.159 for your Python objects. You can save them, send them 219 00:10:13.200 --> 00:10:15.480 over a network, all sorts of things, exactly. 220 00:10:15.639 --> 00:10:19.919 It's a really powerful tool for persistence and data exchange. 221 00:10:20.039 --> 00:10:22.720 So we've covered a lot of practical aspects of Python, 222 00:10:23.120 --> 00:10:25.440 but the book it doesn't just shy away from the 223 00:10:25.480 --> 00:10:29.759 more advanced stuff. It dives into exception handling, which I 224 00:10:29.799 --> 00:10:33.240 think is something that every programmer eventually has to learn 225 00:10:33.320 --> 00:10:33.879 to deal with. 226 00:10:33.960 --> 00:10:38.240 Oh absolutely, yeah, exceptions. There are those unexpected events that 227 00:10:38.279 --> 00:10:41.960 can just crash your program right if you don't handle them. 228 00:10:42.840 --> 00:10:46.559 The book walks through that try accept block, right, which 229 00:10:46.600 --> 00:10:49.120 is how Python deals with them in a really elegant way. 230 00:10:49.159 --> 00:10:52.039 It's like a safety net, yeah, exactly for your code. 231 00:10:52.159 --> 00:10:54.399 You know, if something unexpected happens, you can catch it, 232 00:10:54.440 --> 00:10:55.399 deal with it properly. 233 00:10:55.519 --> 00:10:57.799 And the book it goes into the details of those 234 00:10:57.840 --> 00:11:01.960 different clauses. Right within that block. You have else for 235 00:11:02.080 --> 00:11:05.720 code that runs only if no exception happened, okay, and 236 00:11:05.799 --> 00:11:07.440 finally which runs no matter what. 237 00:11:07.600 --> 00:11:08.879 So that's like the cleanup crew. 238 00:11:08.960 --> 00:11:11.799 Yeah, they come into the end no matter what happened. 239 00:11:11.720 --> 00:11:13.480 Right, to make sure everything is tidy. 240 00:11:13.559 --> 00:11:17.159 And then there's custom exceptions where you use that raised statement. Yeah, 241 00:11:17.320 --> 00:11:20.440 that's for when you need to signal specific errors in 242 00:11:20.480 --> 00:11:21.360 your own code. 243 00:11:21.440 --> 00:11:24.240 It's like having your own error signaling system. But one 244 00:11:24.279 --> 00:11:26.360 of the most powerful things the book covers, I think, 245 00:11:26.519 --> 00:11:31.879 is object oriented programming OP. Ah. Yes, it's like taking 246 00:11:32.000 --> 00:11:34.279 code organization to a whole new level. 247 00:11:34.360 --> 00:11:37.039 It is. It's a paradigm shift. It's about thinking about 248 00:11:37.039 --> 00:11:40.080 your code in terms of objects. You know, things that 249 00:11:40.159 --> 00:11:47.320 have data and behaviors. The book it introduces classes, objects, attributes, methods, inheritance, 250 00:11:47.360 --> 00:11:48.200 all that good stuff. 251 00:11:48.399 --> 00:11:51.960 It can be a bit intimidating at first, all that terminology. 252 00:11:51.519 --> 00:11:53.960 It can be, but once you get it, it's like 253 00:11:54.000 --> 00:11:55.919 you see the world differently. You're not just writing lines 254 00:11:55.919 --> 00:11:59.279 of code anymore. You're building systems. The book it uses 255 00:11:59.360 --> 00:12:02.519 clear exams to explain it all and analogies. 256 00:12:02.600 --> 00:12:03.600 I think that really helps. 257 00:12:03.639 --> 00:12:05.759 It shows how OP can make your code so much 258 00:12:05.799 --> 00:12:10.240 more reusable, modular, easier to maintain. And it doesn't just 259 00:12:10.279 --> 00:12:12.840 stop at the basics. It talks about some more advanced 260 00:12:12.840 --> 00:12:17.519 OP stuff too. Okay, what like private variables, multiple inheritance, 261 00:12:17.960 --> 00:12:19.440 even abstract classes. 262 00:12:19.559 --> 00:12:23.000 Pretty deep stuff. But then it also gets into Guy's 263 00:12:23.159 --> 00:12:24.879 graphical user interfaces. 264 00:12:25.159 --> 00:12:26.360 It talks about tinter. 265 00:12:26.240 --> 00:12:29.240 That's Python's built in GI toolkit. 266 00:12:28.799 --> 00:12:30.879 Right, that's the one. It's what you use to build 267 00:12:30.879 --> 00:12:33.320 those windows and buttons and all the visual stuff. 268 00:12:33.399 --> 00:12:34.720 It seemed pretty straightforward. 269 00:12:34.879 --> 00:12:38.759 It is, Python makes GUI programming relatively painless. 270 00:12:38.440 --> 00:12:42.519 You know. It's that Python philosophy, readability and simplicity, even 271 00:12:42.519 --> 00:12:44.279 for something like gui's. 272 00:12:43.879 --> 00:12:47.320 Then there's regular expressions. Oh yeah, rejects powerful stuff. 273 00:12:47.320 --> 00:12:49.600 They always seemed like lack magic to me until I 274 00:12:49.639 --> 00:12:50.879 finally figured out how they work. 275 00:12:51.679 --> 00:12:53.639 They can be a bit cryptic, but the book does 276 00:12:53.679 --> 00:12:56.519 a good job of explaining them. It breaks down the syntax, 277 00:12:56.639 --> 00:12:58.399 shows you common use cases. 278 00:12:58.279 --> 00:13:02.799 Like validating email address, extracting data from websites, all sorts 279 00:13:02.840 --> 00:13:03.840 of text manipulation. 280 00:13:04.039 --> 00:13:07.200 It covers Python's remodule too, all the tools you need 281 00:13:07.240 --> 00:13:08.720 to work with the regular expressions. 282 00:13:09.000 --> 00:13:12.879 So wow, the book really does cover a huge range 283 00:13:12.919 --> 00:13:13.519 of topics. 284 00:13:13.879 --> 00:13:18.039 It does, from the very basics to some pretty advanced stuff. 285 00:13:18.840 --> 00:13:21.200 Anything that surprised you as you're going through it. 286 00:13:21.440 --> 00:13:24.399 What really struck me is, you know how it manages 287 00:13:24.480 --> 00:13:29.240 to be both comprehensive and concise. It covers so much ground, 288 00:13:29.559 --> 00:13:32.919 but it doesn't get bogged down in unnecessary detail. 289 00:13:32.720 --> 00:13:36.279 Like it distills the essence of Python, yeah, and makes it. 290 00:13:36.279 --> 00:13:38.000 It makes it interesting to read too, and. 291 00:13:37.919 --> 00:13:41.080 Even when it's discussing those more complex topics, it always 292 00:13:41.120 --> 00:13:43.960 brings it back to real world applications. You know, you 293 00:13:43.960 --> 00:13:46.200 can see how you'd actually use these things exactly. 294 00:13:46.279 --> 00:13:48.480 That's one of the reasons why it's such a classic. 295 00:13:48.519 --> 00:13:51.519 I think it's not just some dry technical manual. It's 296 00:13:51.559 --> 00:13:53.240 really a guide to understanding Python. 297 00:13:53.519 --> 00:13:56.120 Yeah. Well, I think we've covered a lot of ground 298 00:13:56.159 --> 00:13:58.519 here in our deep dive into the Quick Python Book. 299 00:13:58.639 --> 00:14:02.320 We've gone from the base like syntax and data types 300 00:14:02.759 --> 00:14:07.120 all the way to things like op metaprogramming, regular expressions. 301 00:14:07.279 --> 00:14:09.879 We've seen how Python is designed for readability and ease 302 00:14:09.919 --> 00:14:12.679 of use, which makes it great for beginners, but it's 303 00:14:12.720 --> 00:14:15.919 at the depth to keep experienced programmers happy to and. 304 00:14:15.840 --> 00:14:19.279 We've talked about all those modules and packages and frameworks. 305 00:14:19.639 --> 00:14:22.679 We've seen how it's used for web development, data science, 306 00:14:23.120 --> 00:14:25.799 even gy programming. It's incredibly versatile. 307 00:14:25.879 --> 00:14:30.000 We even touched on those more advanced concepts like exception handling, metaprogramming, 308 00:14:30.080 --> 00:14:34.200 regular expressions, tools that let Python programmers do some really 309 00:14:34.240 --> 00:14:35.039 amazing things. 310 00:14:35.279 --> 00:14:38.039 So as we're wrapping up our deep dive What are 311 00:14:38.080 --> 00:14:40.240 your final thoughts. What do you want our listeners to 312 00:14:40.279 --> 00:14:41.200 take away from all this. 313 00:14:42.000 --> 00:14:46.360 I'd say Python is a language that really rewards curiosity. 314 00:14:46.919 --> 00:14:50.399 Don't be afraid to experiment, to try things out. Definitely 315 00:14:50.440 --> 00:14:53.720 dive into those advanced concepts. You see what you can build. 316 00:14:54.080 --> 00:14:54.960 Never stop learning. 317 00:14:55.039 --> 00:14:57.840 The world of Python is constantly evolving, so stay curious, 318 00:14:57.960 --> 00:14:59.600 keep up with the latest developments and. 319 00:14:59.559 --> 00:15:02.480 The Python community. It's a great resource, lots of helpful people, 320 00:15:02.879 --> 00:15:04.759 tons of information available online. 321 00:15:04.840 --> 00:15:07.679 So to all our listeners out there, pick up your keyboards, 322 00:15:07.840 --> 00:15:10.200 fire up your Python interpreter, and dive in. 323 00:15:10.440 --> 00:15:12.519 The possibilities are endless and the. 324 00:15:12.480 --> 00:15:15.320 Rewards are huge. But before you go, we have one 325 00:15:15.440 --> 00:15:17.679 last thought to leave you with. So you know, as 326 00:15:17.679 --> 00:15:20.559 we've been talking, I keep thinking back to something the 327 00:15:20.600 --> 00:15:26.159 book mentioned briefly about Python being well both compiled and interpreted. Right. 328 00:15:26.879 --> 00:15:30.039 It's it's like it's living in two worlds at once. 329 00:15:30.279 --> 00:15:34.240 It's an interesting part of how Python actually works, right. 330 00:15:34.360 --> 00:15:36.840 I Mean, we all know about our dot pi files, 331 00:15:36.879 --> 00:15:40.960 that's our source code, but behind the scenes, Python's actually 332 00:15:41.000 --> 00:15:44.960 compiling those into dot pi files, okay, and those those 333 00:15:45.000 --> 00:15:47.720 contain bytcode, which is a lower level way to represent 334 00:15:47.759 --> 00:15:51.399 the code that the Python interpreter can run more efficiently. 335 00:15:51.559 --> 00:15:55.320 So it's like it's like translating into a language the 336 00:15:55.360 --> 00:15:58.840 computer understands better, exactly, But it's doing that like on 337 00:15:58.919 --> 00:15:59.279 the fly. 338 00:15:59.600 --> 00:16:03.320 It is, it'd say, just in time compilation process. 339 00:16:03.320 --> 00:16:03.679 Wow. 340 00:16:03.879 --> 00:16:06.840 And what's remarkable is you know, as a programmer, you 341 00:16:06.840 --> 00:16:09.159 don't even see it. Really, you don't have to think 342 00:16:09.200 --> 00:16:12.480 about compiling your code or managing these bi code files. 343 00:16:12.720 --> 00:16:14.159 Python just takes care of it. 344 00:16:14.159 --> 00:16:17.080 It's like having a like a silent partner working in 345 00:16:17.120 --> 00:16:18.080 the background. 346 00:16:17.759 --> 00:16:18.799 Doing all the heavy lifting. 347 00:16:18.919 --> 00:16:19.559 That's pretty neat. 348 00:16:19.600 --> 00:16:22.799 It's a it's a smart design choice. Yeah. It lets 349 00:16:22.840 --> 00:16:26.960 Python be flexible because it's interpreted, but you also get 350 00:16:26.960 --> 00:16:29.480 those performance gains from the compilation. 351 00:16:29.159 --> 00:16:31.240 So you get the best of both worlds exactly. 352 00:16:31.320 --> 00:16:34.679 It's it's finding that balance between power and simplicity, which 353 00:16:34.799 --> 00:16:36.320 Python seems to do quite well. 354 00:16:36.519 --> 00:16:40.840 And speaking of power, yeah, I'm I'm still kind of 355 00:16:40.879 --> 00:16:44.120 mind blown by this whole metaprogramming thing. Oh yeah, it's 356 00:16:44.360 --> 00:16:49.000 it's like you're giving the code this ability to look. 357 00:16:48.840 --> 00:16:51.519 At itself, introspect and change itself. 358 00:16:51.559 --> 00:16:54.559 Modify itself. That's the core of it. It's like whoam 359 00:16:54.840 --> 00:16:58.399 blurring the line between the code, yeah and the data, right? 360 00:16:58.519 --> 00:17:02.639 You know, because in Python everything an object, right, classes functions, 361 00:17:02.919 --> 00:17:06.599 they're all objects, and metaprogramming lets you lets you work 362 00:17:06.640 --> 00:17:09.039 with them like they're just data that you can change 363 00:17:09.039 --> 00:17:09.559 at runtime. 364 00:17:09.799 --> 00:17:12.240 Can you give me like a concrete example of how 365 00:17:12.240 --> 00:17:15.160 that would be useful? Sure? Imagine you're building like a 366 00:17:15.200 --> 00:17:18.960 web framework, right, and you needed to find routes for 367 00:17:19.079 --> 00:17:23.480 handling different web requests. Okay, with metaprogramming, you could write 368 00:17:23.480 --> 00:17:28.279 a function that automatically generates those routes. Wow, based on 369 00:17:28.599 --> 00:17:31.079 you know, the functions you've already written in your application. 370 00:17:31.200 --> 00:17:33.240 So it's like it's like automating the automation. 371 00:17:33.519 --> 00:17:36.640 Yeah, it's it's a higher level of abstraction. Okay, you 372 00:17:36.680 --> 00:17:39.160 can get a little complex, I can see that, but 373 00:17:39.279 --> 00:17:40.359 it's very powerful. 374 00:17:40.480 --> 00:17:43.759 And the book also mentions decorators. Oh yeah, those always 375 00:17:43.759 --> 00:17:45.039 seemed a little mysterious to me. 376 00:17:45.519 --> 00:17:47.559 They are that they are a way to modify how 377 00:17:47.559 --> 00:17:51.720 a function works without actually changing the code of the 378 00:17:51.720 --> 00:17:56.039 function itself. Okay, so imagine you have a function, yeah 379 00:17:56.200 --> 00:17:59.440 that fetches data from a website, right, Okay, you could 380 00:17:59.440 --> 00:18:02.359 write a decor that adds cashing to it, so it 381 00:18:02.400 --> 00:18:05.440 only downloads the data once oh I see it, and 382 00:18:05.480 --> 00:18:07.640 the stores it for later. So next time you call 383 00:18:07.680 --> 00:18:08.799 the function, it's much faster. 384 00:18:09.599 --> 00:18:11.640 So it's like it's like you're adding this extra layer 385 00:18:11.680 --> 00:18:15.240 around the function, like a wrapper, without without messing with 386 00:18:15.319 --> 00:18:16.759 its its core. 387 00:18:16.640 --> 00:18:20.599 Logic exactly, and that that makes your code cleaner, easier 388 00:18:20.599 --> 00:18:21.079 to maintain. 389 00:18:21.160 --> 00:18:23.039 Well, Python's got a lot going on under the hood, 390 00:18:23.079 --> 00:18:23.640 it does it. 391 00:18:23.640 --> 00:18:25.880 It's a language full of surprises. 392 00:18:25.559 --> 00:18:27.079 Which I guess is part of the fun. 393 00:18:27.279 --> 00:18:28.799 Keys things interesting for sure. 394 00:18:28.880 --> 00:18:31.240 So for our listeners out there, who are, you know, 395 00:18:31.359 --> 00:18:35.240 just starting their Python journey, what advice would you give them? 396 00:18:35.440 --> 00:18:39.359 Don't be afraid to experiment. Okay, Python is it's really forgiving, 397 00:18:39.519 --> 00:18:42.720 you know, Yeah, that interactive interpreter, it's great for learning. 398 00:18:42.799 --> 00:18:44.079 Yeah, just try things. 399 00:18:43.799 --> 00:18:47.519 Out exactly, type some code in, see what happens, make mistakes. 400 00:18:47.720 --> 00:18:49.640 And you know, Google is your friend. 401 00:18:50.000 --> 00:18:52.799