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Streamlit with Python: What is Streamlit and How to Install it?
Jun 20, 2025
Streamlit is a free and open-source framework designed to enable you to quickly and easily create amazing web applications for data science and machine learning. It is designed specifically for data engineers and data scientists, who often have no experience or interest in web development. Streamlit with Python: What is it and How to Install it? Complete Guide for Beginners! Article: 💖 Donate and help us create more amazing content! 🙌 Every contribution makes a difference! ☕ Buy me a coffee: https://buymeacoffee.com/usandopython 💖Support this channel https://www.youtube.com/channel/UCpL2Gru508Z39oPqu1FIg4Q/join ⚡️ Connect with me on: Instagram: https://www.instagram.com/pybeginners/ Twitter: https://x.com/joaofuti_ LinkedIn Newsletter: https://www.linkedin.com/newsletters/pybeginners-7267881715929415681/ Website: https://www.usandopy.com/en Thread: https://www.threads.net/@pybeginners
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0:00
hello guys welcome back to the channel
0:02
here so today we are going to start the
0:04
tutorial about stream lit in Python so
0:07
in this tutorial we learn about the
0:08
stream L okay we try to learn how to
0:10
build any website by using streamlit and
0:13
we will learn about this component how
0:15
we can create them so this will be a
0:17
very practical tutorial okay so apart of
0:19
this we will be creating some project
0:21
also by using stream lead itself like
0:24
for this one is the first one of the
0:26
project that we create okay it's kind of
0:28
a portfolio by using stream so this way
0:30
you can have more practical by using
0:32
stream Le itself and a part of this
0:34
project okay we are going to use to
0:36
create another one which is task
0:38
management portal so working with this
0:40
task management portal is very good way
0:42
also so that you can get better by using
0:45
stream l so to be more familiar with it
0:47
like this two this manager port
0:50
management portal is very good okay so
0:52
it's very useful so we try to put in PR
0:54
everything that we learn about the
0:56
stream lad so as you can see there is a
0:58
kind of uh a okay which shows which task
1:01
is completed and painting so you have
1:03
option here to choose if a task is
1:06
painting or not so it's very simple uh
1:09
app so that you can get more familiar
1:12
with stream L and apart of this okay we
1:14
are going to create also a professional
1:16
consultation form which is this one like
1:18
a simple form okay where you can like
1:20
schedule some appointment okay when you
1:22
schedule an appointment it it will show
1:25
here itself okay for example for if I
1:27
enter my name like okay and and here
1:30
email okay let's say something like at
1:33
gmail.com at
1:35
gmail I think I wrote it wrong okay at
1:39
gmail.com and for number okay let's say
1:41
one blah blah any random number date so
1:43
I can click here and choose any date for
1:45
and for and description let's say blah
1:47
blah blah blah then I just click it
1:49
schedule so boom it will schedule the
1:51
task the thing okay oh I forget so it's
1:54
not showing because actually the right
1:57
now the one that is running is the task
1:58
management portal so and just it's just
2:00
about for me to come here okay come on
2:03
top and close this
2:05
guy so let me go CD dot dot go back and
2:09
CD again uh form formio okay CD then
2:15
let's run that up so that we can see the
2:18
form up boom perfect okay so this is it
2:22
one this is the one that personal sched
2:24
okay so let's try to do the thing again
2:26
okay so let's say name okay let's say
2:29
email
2:30
uh let's say at
2:34
gmail.com and if we come forone number
2:36
let's say 1 2 three okay just Rand the
2:37
number here we can choose any day and
2:40
description let's give any kind of
2:41
description so if I click on schedule
2:45
boom is going to schedule here so that
2:47
you can see okay the schedu uh
2:49
appointment which is this one dra blah
2:50
blah blah and description will be here
2:52
so even here we can come here and choose
2:55
like if you want to delete any
2:56
appointment that we made so we can come
2:58
here click here and boom we can delete
3:00
the appointments Boom the appointment
3:02
will disappear okay so those three apps
3:05
will be enough for us to get more
3:07
familiar with stream Le okay so before
3:10
we start first let's understand what is
3:11
stream L okay see uh before you
3:15
understand the reason why we need to
3:17
learn is like okay the field of data
3:19
science and analytics is rapidly growing
3:21
so everyone knows that and one of the
3:23
most important steps in the data science
3:25
pipeline right now is model deployment
3:28
so and in Python as we know okay the
3:30
Frameworks like flask and jungle are
3:32
commonly used for this purpose but
3:34
however this one okay this option often
3:37
require like extra knowledge like
3:40
technology like HML CSS and JavaScript
3:42
okay which can be sometime harder for
3:45
data scientist and machine learning
3:47
Engineers okay who prefers to focus more
3:49
on working with data and models than
3:51
working on front end technology so to
3:54
address this issue okay that's how
3:57
stream lead came on okay so stream is a
4:00
free and open source framework designed
4:02
to enable the quick and easy creation of
4:05
impressive we web application okay for
4:08
data scientist and machine learning so
4:11
it was developed especially for people
4:13
okay who are engineering and for those
4:15
also work on data science Fields who
4:18
often lack of experience for interesting
4:20
in web development so with swim lo you
4:23
can build really really beautiful and
4:25
functional application by just using
4:27
some few lines of python callede so this
4:31
practically okay s pratically it elim
4:34
eliminate the need for weeks of study
4:37
okay like time that you'll expend like
4:39
just studing those FR technology okay
4:43
and uh these things okay uh extremely
4:47
practically allow okay it allows
4:49
developers to focus more on what really
4:52
matter which is the data and the model
4:54
so why you should learn streamly see
4:58
streamly it's easy to use okay so you
5:01
don't need any knowledge like HML SSS or
5:04
or even JavaScript so extremely you can
5:06
rapidly develop web applications and it
5:10
kindly you can integrate it with most of
5:12
python libraries easily we by using
5:15
stream l so that's why in this project
5:18
in this tutorial okay we we are going to
5:20
focus to understand very well streamly
5:22
how we can use it okay or we can take
5:25
provate of it so that's why this those
5:28
three projects okay will be working for
5:31
you okay will be good for you so we will
5:33
create a portfolio project and we will
5:35
create a task management portal and in
5:38
then we'll create this one this
5:39
consultation form okay so how we can use
5:43
stream list see this is the website of
5:44
stream okay so this is like you can have
5:47
a lot of information from here okay you
5:48
can see some things that was built by
5:51
using stream Le and you can also follow
5:54
the documentation okay but sometime we
5:56
know that the documentation sometimes is
5:57
very difficult to understand so that's
5:59
why we are trying to resume it in very
6:00
easy way so that you can understand how
6:02
to use streamly okay so the first step
6:04
that we can do is to install streamly
6:07
how to install stream list to install
6:08
stream list VAR is as we can see okay
6:10
just enter peep install stream list so
6:12
let's start like this with this one so
6:14
for that let's come here in our uh test
6:18
editor so you can choose any test editor
6:20
that you wish to use okay so now let's
6:22
start the tutorial okay so I'm just
6:24
going to come CD back so let me clear
6:28
this okay clear
6:30
so the first thing that you will need to
6:32
do is to install streamly in your
6:34
environment so here to install streamly
6:37
very okay you just enter this command P
6:39
install stream L then hit enter it will
6:41
install stream l in your application
6:43
okay but as since I have stream L
6:46
install on my computer I'm not going to
6:48
install it anymore because my internet
6:50
right now is very slow okay so I don't
6:52
want it to take long time just for
6:54
installation okay now let's suppose now
6:56
you have stream L installed on your
6:58
machine okay so after that you need to
7:00
create any script okay I just create one
7:03
script like main. P okay you can give
7:05
any name that you wish so in order to
7:07
start with stream
7:09
lit for you to check if your app is
7:12
really working or not it's very e okay
7:14
just do something like that
7:17
import import stream lit
7:20
stream import stream L as s okay let's
7:24
import as save
7:27
then then the next thing that that you
7:29
need to do is just to run this this uh
7:32
script okay so for you to run this
7:33
script you need to do something like
7:35
this okay come in your terminal and do
7:38
something like this okay so in order to
7:40
run any stream L application in Python
7:42
you need to do something like this okay
7:43
you need to call stream okay stream lit
7:47
run then after this you need to give the
7:50
name of the script that you are uh
7:52
running this stream list so for us we
7:54
are using this main doy so that's why
7:56
I'm going to call it main do PI but
7:58
never forget okay you need to be in the
8:00
same director which where the script is
8:02
okay so that's why you have stream L run
8:04
main.py okay I am inside of this folder
8:07
called python stream L then I just need
8:10
to give
8:12
enter and as you can see it open here
8:14
okay this is the stream L that we are
8:16
going to work on so let me close this
8:18
guys since we don't need them anymore
8:20
now let's focus on here okay so in this
8:23
tutorial we are going to stop here so in
8:24
the next tutorial we are going to try to
8:28
understand properly how we can create
8:29
components in Python streamlink my name
8:32
is please subscribe to the channel give
8:34
a like to the video if you like the
8:35
video and see you in the next video bye