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The Basics Data Types

Learn the fundamentals of data types in this beginner-friendly course designed for aspiring programmers and tech enthusiasts. In this video, we break down the most common data types, explain how they are used, and show why they are essential in programming and data handling.

Whether you’re just starting your coding journey or need a refresher, this course will help you understand core concepts clearly and confidently.

🔹 What you’ll learn:

What data types are
Common data types (numbers, strings, booleans, etc.)
How data types work in programming
Practical examples for beginners

🎯 Who this course is for:

Beginners in programming
Students learning computer science basics
Anyone interested in understanding data structures

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🤖
Tech
Transcript
00:00Hi, welcome back. Please take a look at this program in here. Do you see any issue with
00:13this program? Well, the program works well. If we run it, we get seven as output, which
00:21is the expected output. So three plus four gives you seven. But there is an issue with
00:26the program. And the issue is that we have no idea what three means and what four means.
00:35So as programmers, we don't know what's going on in here. And that makes this program not
00:42readable. Now let me show you how I will fix that issue right away by using variables.
00:49So I'll delete this internally. And say spent is equal to three.
00:57Donated is equal to four.
01:02Total amount is equal to spent plus donated. And then print total amount. If I execute this program
01:14now, I'll get the same output. So it's seven again. But this time, we as programmers can understand
01:22this program. So we can give this program to some other person, some other programmers, or we can
01:27go back to this program. Later, and we can still understand this program, because now we have names
01:35for the values. These are referred to as variables. So spent donated and total amounts are all variables.
01:45The syntax is pretty simple. So all you have to do is just pick a name from your mind for a variable.
01:53So I chose to have spent as the first variable. So this is the amount of money I spent for purchasing
02:01things, for example. And then this is the amount I donated. And then I calculated the total amount.
02:08So now this program makes more sense. And of course, there are other examples, such as
02:14as items equal to 10. And price equal to two. Total price is equal to items times price. So now there
02:28is this asterisk here, which means multiplication operator.
02:33So again, we have one variable here, two, and three.
02:50Now, there are some rules regarding to the syntax of variables. The first rule is that you shouldn't have
02:57numbers in front of your variables. But you can have numbers in the middle somewhere, or at the end,
03:05but not in front of them. You can use underscores, such as I did in here, but you cannot use spaces. So this
03:15will not work in Python. Which means that if you have variables with more than one word, you should use
03:21an underscore is the best practice to use an underscore. And lastly, you can have as many spaces as you want
03:32around the assignment operator. So that will work. But it is recommended, according to the official Python
03:41style guide, it is recommended to have one space on both sides of the assignment operator to make the code
03:49more readable. So spaces serve only the purpose of readability here. The same goes for these operators,
03:57it's good to have spaces around the operator for readability again. So now our program makes more
04:06sense. We know what's going on in here. We understand the code. And that is one benefit of variables.
04:14There's a second benefit as well. Variables serve as buckets to carry data or objects. So 10 is a data
04:27value, or you can also refer to it as an object. So 10 is an object, 2 is an object. And items is the name
04:36of this object. Or you can say the variable of this object. And so these names, these variables are like buckets,
04:44you can they are used to carry objects around. For example, let's say we placed 10 inside the items bucket.
04:55And then we get that bucket and multiply that bucket with a price bucket, which has two inside. So instead of
05:04writing 10 in here, and two, we actually work on a bucket basis on a variable basis. There's a benefit
05:16for this. Because for example, let's say we decide to change the value of this to three. And that means
05:24items now here will also be three. So three times two, we're going to get six.
05:31That's why we don't want to have objects hard coded. For example, if this was 10, we run this, we would get
05:41the old output 20. So I hope that is clear. Always use variables. And that concludes this lecture about
05:54variables. I did go into a lot of details because variables are used in every single program that
06:01you write. So make sure you understand them. And I'll talk to you in the next video. Thank you.
06:09Hi, welcome back to a new lecture. Previously, we wrote this script, and we can execute it using this
06:17triangle button, and we get six as output. So three times two gives us six. So what we did here is we
06:28wrote the script in a dot py file, and then we send that script to the interpreter. So we send the entire
06:36dot py file to the interpreter. But there is another way to run Python code. That is by having the interpreter
06:47on demand. Let me demonstrate you what I mean by that. So you have to go to the terminal to the command
06:55command line. This is where you execute operating system commands. So I'm on Windows, so I can execute
07:05py space minus three. If you are on Mac or Linux, you will have to write Python 3.10
07:14or Python 3.9 depending on what version of Python you are using. I'll be using py space minus three and
07:22press enter. So that command starts the Python interpreter. Now the interpreter, as I said, is on
07:31demand, which means the interpreter now is waiting for Python code to interpret it. So think of the
07:39previous methods as hiring the interpreter on a contract basis. So you send the interpreter the entire
07:47script, and they send you back the output. But here, the interpreter is an employee, let's say,
07:54they are on site, and they are waiting for your input, they are listening to you. So what you do is
08:00you say items is equal to three, for example, you write code and you press enter. And the interpreter is
08:07listening to you. So it registers the items variable in memory. And you can keep writing codes price is
08:15equal to two, total price is equal to items, times price. And if you print total price,
08:25you get the output six, which is the same output as that. Now you're probably wondering when to use one
08:35way and when to use the other. So should you code in a Python file or should you code in a Python
08:43interactive shell? So this is now known as an interactive shell. So let me answer you that
08:50question. But before I answer you, I want to point out the differences between the two ways of coding.
08:58The biggest difference is that the codes you write in the interactive shell is not saved. So if I exit
09:06this shell now, this code will get lost. And there's no way to save it. And that takes us to the other
09:16point, which is that this way of coding is just for throwaway code. So if you want to just simply test
09:24things out quickly, perhaps you want to do some math operations such as addition, multiplication, etc.
09:33And you are not interested in creating a reusable program, then this interactive shell is fine to
09:42use. It's quicker than having to create a dot py file, and then writing the code there. So I think
09:49I've answered the question, you should use dot py files whenever you want to create reusable programs.
09:57And you use the Python interactive shell for quick one liners. So just to write one line, maybe another
10:04one in here. So math operations. Now, I want to point out a difference between the two also. Now, another
10:13difference you should be aware of is that in the Python interactive shell, you don't need to use a
10:20print function, you can just say total price. And you get the output. No need to print out total price.
10:33However, in a dot py file, you have to be very explicit. So if I remove the print function, and I
10:41execute this program, we will not get any output. So let me execute this program now. But I warn you
10:50that we will get an error. So run the program, this is the error. So what happened here? This code is
10:59fine. But what's happening is that Visual Studio codes is executing this Windows command
11:10and inside the Python shell, the Python shell only accepts Python code, but not Windows or Mac operating
11:22system commands. So this is a Windows command because it is starting it is trying to start the Python
11:32program and it is trying to execute that my program dot py file. So what you need to do is you need to exit
11:41the shell whenever you want to execute a dot py file. So if you are in an interactive Python shell,
11:48and you know you are whenever you see these three arrows, then you want to do exit with parentheses
11:55and press enter. And that will take you back to the operating system shell, the terminal the command line.
12:07That means now you can run your program. So let me press that triangle button. And we didn't get an error.
12:16However, there's no output either, as you can see, because as I pointed out earlier,
12:22we are not printing out anything in here. So what the interpreter does is it just assigns three to items
12:30variable. It does the same with price, it calculates the total price. And then here it does nothing.
12:38So in order to get output, we need to say print the variable run again, and you get six.
12:47If you want to go back to the Python shell again, write the py minus three command. And you go back to the
12:57shell. And you can run code again in here. So I'll go back to the shell. And that's about the Python
13:08interactive shell. Thanks for following.

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