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Introduction to Programming with Python: Running code, Comments, Variables, Operators

Gina Sprint · 3,049 words · 14 min read

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0:00hello everyone in this video i want to

0:02provide an introduction to the python

0:05programming language

0:06this video assumes that you have python

0:09installed on your machine and you have a

0:11text editor of your choice that you can

0:13use to edit that python code

0:16for this video i'll be using visual

0:18studio code or vs code

0:21this is what vs code looks like

0:24i'll show you how you can run your

0:25python code in bs code and also how you

0:28can run your python code from command

0:30line

0:30so for that you'll need a terminal or a

0:34power shell or whatever your favorite

0:36version of command line is

0:38so let's get started by first making a

0:41directory in which we can put our python

0:44scripts

0:45i'm going to put this directory on my

0:47desktop you can put it wherever you

0:49would like

0:50so i'm going to make a new folder called

0:52python basics fun

0:55in which we'll start going through some

0:57basics of python

1:00the basics that we'll cover in this

1:01video include

1:03comments variables and operators

1:08throughout the demo i'll be using the

1:09print statement but stay tuned for a

1:12future video where i'll go through some

1:14more details on how to get the most out

1:16of using print and also how to get input

1:18from the user so that'll be a input

1:21output video

1:23now let's head over to vs code

1:27and open this folder so a few ways to do

1:30it

1:30in the file explorer on the left side

1:32here you can do open folder

1:35under get started if you see this kind

1:37of welcome page you can click open or

1:40you can go file open folder

1:44i'm going to navigate to my desktop open

1:47python basics fun

1:49this will reload bs code

1:52now the current working directory also

1:55known as the cwd

1:56is python basics fun in vs code so if

1:59you look in my file explorer on the

2:01left-hand panel of vs code the top level

2:04directory that i can see is python

2:05basics fun anything that i create in

2:09this instance of vs code will be created

2:12in python basics fun

2:14so let's create our first python file

2:16python files have the dot py extension

2:19for the base file name we can name it

2:22really whatever we want

2:24i'll use main as the name of our first

2:26script

2:27so let's do

2:28new file little new file icon right here

2:32or new file right here and name our new

2:34file main.py

2:37this will open main.py in the text

2:40editor

2:43and now we can start writing some python

2:45code

2:46sticking with tradition

2:48let's write print hello world

2:52often when getting started with a new

2:54programming language or a new

2:55environment you try to get what's called

2:56a hello world up and running which is a

2:58very simple program that just prints

3:00hello world to the console or the

3:03command line

3:05in bs code whenever you have unsaved

3:07changes you'll see a black circle where

3:11the x normally is

3:13so let's make sure that

3:14we save this file

3:16use your keyboard shortcut

3:18ctrl s or command s for windows or mac

3:21or you can always go file save

3:25now we're ready to try running our

3:27simple main dot py

3:30so let me show you two ways to do this

3:32one is in vs code

3:35if you have main.py open and you see a

3:38play button here which says run python

3:40file on the tooltip when i hover over it

3:43you can simply

3:44run this python file by clicking the

3:46play button

3:48and you should see hello rolled in the

3:49output

3:51if you don't see the play button here

3:53i recommend you head over to the

3:55extensions side panel and search for the

3:58python extension and install the one

4:01from microsoft

4:03then reload vs code and try again

4:06another way that you can run main.py

4:10in vs code is using the integrated

4:12terminal if you don't see the integrated

4:15terminal an easy way to open it up

4:18is to go view

4:20terminal

4:21and that will hide or show your terminal

4:28to run main.py from command line

4:31at your terminal simply type python and

4:34then the name of your script that you

4:37want to run

4:38so for us that's python main.py and you

4:41should see hello world

4:43if you installed python and you're

4:45getting an error here saying that python

4:48is not recognized perhaps you need to

4:51add python to your environment variable

4:54which would be your path environment

4:56variable

4:57please take a look at another video or

5:00do some research online to find a nice

5:02tutorial to show you how to do this

5:06now that we can run

5:07our python file in bs code

5:10let me state that if you're not using vs

5:12code and you want to run your python

5:14file you could simply type this same

5:16command at your mac terminal or at your

5:20windows powershell or your windows

5:22command prompt or whatever you like to

5:25use for your command line interface

5:30now that we can run python code

5:32let's get started learning the basics of

5:34python

5:38so let's start on the first line of

5:40main.py

5:42with a pound sign aka a hashtag symbol

5:48this is a one line

5:50comment

5:52so a comment

5:54is code which i'm putting in double

5:56quotes and i'll explain why

5:58is code

6:00that python ignores this means it's code

6:04because it's part of a coding source

6:06file but it's not code in that it has to

6:08adhere strictly to the python syntax

6:10because python ignores comments we can

6:13write english sentence structure code

6:16whatever we want to write here

6:19so therefore comments are ignored by

6:21python but they're still part of our

6:22code base they just don't execute

6:26the purpose of comments is to

6:28document our code

6:33we might use them to describe uh

6:36something key that we're doing in the

6:38code something

6:39not obvious or non-trivial we might use

6:41a comment to cite a source by pasting a

6:44url

6:45etc

6:46what i'll use comments for in my videos

6:49is to

6:50document or explain what i'm doing and

6:53why i'm doing it

6:54so now that we've learned about comments

6:56i can start using them to describe other

6:58aspects of python that we're going to

7:00learn

7:02there's another type of comment that i'd

7:03like to show you

7:06which is called a multi-line comment or

7:09a block comment

7:11so if we have a pair of triple double

7:14quotes so double quote double quote

7:16double quote and then enter and then

7:18double quote double quote double quote

7:21this is a multi

7:24line

7:26comment aka a block comment

7:29so with the pound sign

7:31we only have a comment that spans one

7:33row but if our comment is long as is the

7:36case often when we're documenting say

7:38something like a function or a class

7:41then we'll use a multi-line comment aka

7:45block comment so that our comment can

7:47span multiple lines more easily

7:53all right

7:55let's start with our first topic

7:59section header

8:00variables

8:02variables are fundamental when getting

8:03started with programming languages

8:07a variable stores a value

8:11a variable has a name that is convenient

8:13for us as the programmer to use when we

8:15want to refer to that value

8:17so let's start with a simple variable

8:19declaration let's say with variable x

8:22which is assigned 5.

8:26i highly recommend you train your brain

8:28to read this as x is assigned five

8:33or x stores five

8:36often times when we see this

8:40equal sign here we think equality x

8:42equals five that's not what this python

8:45statement is saying

8:51there actually is an equality operator

8:53in python which is two equal signs

8:58and this is what we use to actually test

9:00if x equals five

9:02this here is a storage operation we're

9:04saying put this value five in this

9:08variable and if i ever want to refer to

9:105 again or overwrite it i'll use x to do

9:13so

9:14so x is assigned 5.

9:16now we can access

9:18x by simply say

9:21printing it out we just use x

9:24so i'll run this

9:26get a little bit of room down here

9:28and i see

9:305 displayed from line 16 and i still see

9:33hello world displayed from line 18.

9:36let's talk some more about

9:39variables

9:42a variable has a

9:44data type

9:47the data type defines the range of

9:50values which can be stored in the

9:53variable

9:54so let's take a look at an example

10:00the into data type

10:01so into short for integer

10:05which means that an end variable

10:11can store

10:14whole numbers positive negative or zero

10:19since we assigned x

10:215 5 is a whole number

10:24x is currently storing an integer value

10:26we would say x is an int variable

10:28we can confirm the type of x by using a

10:32built-in function called type it's built

10:34in which means we don't need to import

10:37another python module

10:39in order to use it

10:40so let's see what the type of x is

10:43if i print this out i see that

10:46x

10:47is class end and int is short for

10:50integer

10:53i'm going to move my hello world back up

10:56here to the top

10:58just so that my most recent output is

11:00always going to be at the bottom

11:04now

11:05let's overwrite

11:06x with a new value

11:09let's say that we don't want x to store

11:115 anymore we want it to store 5.5 which

11:15is not a whole number and therefore is

11:17not an integer

11:18if you're coming from another

11:19programming language where you declare

11:21the type at the time you declare a

11:23variable you're probably like what i can

11:26change the type of my variable i can say

11:29it's no longer storing an end it's now

11:30going to store a floating point number

11:33and yes you can in python so let's see

11:35it in action let's say x is now a sine

11:405.7 i'll print out x

11:43i'll print out the type of x

11:46and we'll see

11:48that x is now a float

11:51so now we're seeing another data type in

11:53python

12:01so float is short

12:03for

12:04floating point number

12:08so this would be

12:11a data type that defines values that

12:14have

12:15a fractional part or set in other way

12:17decimal numbers

12:21so a float variable

12:23can store

12:24decimal numbers

12:26or numbers with a fractional part

12:31in this case 0.7 is the fractional part

12:38let's assign x again this time i'm going

12:40to assign x what's called a string

12:43so a string is a sequence of characters

12:50in python the string data type is

12:53represented by str or stir

12:59and a string variable

13:02can store a sequence of characters

13:10so let's print out x and then let's

13:12print out the type of x

13:17and there we see hello printed to the

13:18console and we see stir short for string

13:23now let's put this all together and

13:25let's say we assign to x

13:285 but not the int 5

13:31the string 5.

13:33when i print out x

13:36i see five and this looks just like the

13:39output i had earlier from line number

13:4317 when i print out x the integer

13:46so the output looks the same

13:48but we know now

13:50that the value is being stored as a

13:52different type

13:54previously on line number 17 we're

13:56printing out x where x is storing five

13:58as an integer and now on line 38 x is

14:01storing five the character as a string

14:04so this is why type can come in handy

14:08if you're ever unsure of what the data

14:10type of your variable or a value is

14:16all right

14:17let's move on to our last big topic for

14:19this video which is operators we've

14:21covered comments we've covered variables

14:24now let's cover operators

14:27hopefully you recall

14:29pemdas

14:30this is an acronym for remembering the

14:32order of operations

14:34this order of operations parentheses

14:37exponents multiplication division

14:39addition and subtraction applies in

14:41python as well plus there are some

14:43additional operators in python beyond

14:46pemdas but let's start with the basics

14:48here

14:49so parentheses

14:51exponents

14:53multiplication

14:54division

14:56addition and subtraction

15:00so parentheses have the highest order of

15:03precedence in this list of

15:06six different operators

15:08so parentheses in python

15:11are the same as you're used to

15:13from say

15:14typing them in word or typing them in

15:16another language or writing them in

15:18algebra

15:21now let's do

15:22exponentiation

15:25so a double star is the exponentiation

15:28operator

15:31in python

15:32so let's say i want to raise

15:352 to

15:37the third which would be

15:40two times two times two

15:44two times two is four times two is eight

15:47so i run this

15:49and i see eight

15:52this is a good opportunity here to see

15:54another way to do exponentiation that

15:57uses

15:59the math module

16:01so a python file

16:04is also

16:06known

16:08as

16:09a module

16:11and we can use

16:15standard modules

16:17that are included

16:19with python

16:21without having to install any additional

16:24libraries or packages to do so one of

16:26the standard modules or libraries that

16:29we can use in python is the math module

16:33so let's use the math module

16:36to see another way

16:38to compute

16:41an exponent

16:43we'll need to import the math module in

16:46order to gain access to code written in

16:49the math module

16:50so let's scroll all the way up to the

16:52top of our file

16:56and let's write import math

17:00so by convention

17:02you put all of your import statements

17:04at the top

17:10you don't have to do this because python

17:12executes a module or a python file from

17:15top to bottom so as long as your import

17:18statement is before the line of code

17:21that uses the module you're importing

17:24your code will compile and run just fine

17:26but by convention it's good to put all

17:28your import statements at the top so

17:30that it's really easy to find what

17:32dependencies or what modules are being

17:35used by this file

17:37so the very top i'm going to import math

17:42this is going to allow my main dot py

17:45module to access code written

17:47by awesome python developers in the math

17:50module

17:52so let's do the same thing we did on

17:54line 47

17:55but using the math module

17:57so i can do math dot and i can see all

18:01of the functions and variables that we

18:03have access to from the math module

18:06so some fun ones like

18:08seal

18:09or cosine or degrees

18:13or absolute value floor et cetera

18:16what i'm interested in is math.pow which

18:20will compute x to the power of y

18:22so i'm going to pass in 2 comma 3

18:26and we should see the same result

18:28which we do

18:308.0 coming from line 51 but it's

18:33slightly different because if you see

18:37our previous result from line number 47

18:39using the exponentiation operator it was

18:42an integer there's no point on the end

18:45but the result from line 51 using the

18:47math module is a floating point number

18:49because there is a point on the n

18:51so just something to note about the

18:53difference between these two ways of

18:56computing exponentiation

18:58when both your operands for the

19:00exponentiation operator or ins you'll

19:02get an int

19:03with math.pow even if both arguments to

19:06the pow function are integers you'll get

19:09a floating point number

19:12i'll mention too that what we're doing

19:13here with callingmath.pow

19:16involves knowledge of functions and

19:18arguments

19:19if you're not familiar with functions

19:20and arguments stay tuned for another

19:22video where i'll go through the basics

19:24of them in python

19:28all right let's move on now to

19:29multiplication

19:31so a single star

19:33is multiplication

19:36so maybe i'll print out four times five

19:39and i accept expect to see 20

19:41which i do

19:43let's move on to division

19:45there are two types of division in

19:47python that you should know about

19:49the first is a single forward slash

19:52which is floating point division

19:55and what we think of as

19:58the normal division

20:00so let me give you an example

20:02if i were to say print 2

20:04or let's do 5 divided by 2

20:07okay you would say 2 goes into 5 evenly

20:102 times with a remainder of 1

20:131 over 2 is a half so the result is 2

20:16and a half

20:18and i print this and i see two and a

20:19half i'm like okay that makes sense

20:22well there's also an operator that is

20:25two forward slashes

20:28which is integer division

20:30so integer division

20:33is

20:34the whole number result

20:37of floating point division

20:39so if we look at the result of floating

20:41point division the whole number is two

20:44two goes into five evenly two times so

20:48let's try printing out five integer

20:50divide two

20:52and we get the result of two

20:54another way to think about integer

20:56division is you take the result of

20:58floating point division and you just

21:00chop off or just truncate off the

21:02fractional part the 0.5 and what you're

21:05left with is the result

21:10there's one more operator here worth

21:12mentioning which is the mod operator

21:18so the mod operator

21:20is the remainder

21:24from integer

21:26division

21:27so if i do print five mod two

21:32two goes into five evenly two times with

21:34remainder one

21:37i will see one printed

21:40so floating point division integer

21:42division mod and multiplication all have

21:46the same order of precedence you would

21:48evaluate them from left to right

21:52i'll mention that exponents

21:54are evaluated from right to left so that

21:57is something a little different to keep

21:58in mind

22:00i won't do demos for addition and

22:01subtraction because i'm sure you're

22:04familiar with the plus and minus signs

22:06from your algebra days and whatnot

22:09they work as you would expect in python

22:11and they are truly the plus and minus

22:13signs

22:16all right

22:17that's a wrap up of this video we

22:19covered commons variables operators and

22:22how to run python code in vs code and

22:26how to run it in

22:28the terminal or at your command line

22:30stay tuned for the next few python

22:33videos which will continue with

22:35important topics when getting started

22:36with python like

22:38getting input from the user conditionals

22:41loops functions lists etc

22:44lots to learn python is a great language

22:46i hope you're enjoying it so far

22:49thanks for watching and please consider

22:51subscribing to my channel

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