I honestly can barely believe this channel exists. If you take the entire channel with all the videos, we literally get an entire college degree worth of learning for free. People can build better careers and improve their entire lives because of this channel. Thanks guys, keep it up please. I have a lot to learn, but I hope I can be successful!
50:00 this works because the original dataframe has all of its columns as object, you will need to cast to int/float accordingly. So the workaround, export then import as csv, actually casts the data to the correct datatype.
If I had known such a tool and tutorials would be available for free, I would have been born twenty years later. Yet, never too late to appreciate. Thanks!
For those that had the ValueError: could not convert string to float for the Basketball EDA project, you need to filter out the non-numeric columns like this "df = df.select_dtypes(include=[float, int])" before doing df.corr()
Amazing video!! just for the newbies like me ... the "beta" word from st.beta_set_page_config(layout="wide") has to be removed as its no longer in beta. So the new way of writing this line would be: st.set_page_config(layout="wide")
@@DataProfessor Hello Data Professor, I have problem with Tutorial 6. EDA Cryptocurrency. In Line 63: listings = coin_data['props']['initialState']['cryptocurrency']['listingLatest']['data'], there is an error "*** TypeError: string indices must be integers". Although we put coin_data = json.loads(data.contents[0]) on line 62 still cannot solve. This also results in the failure to show the whole page content on streamlit. (Only the first side bar, logo and expander_bar show on the page.) May you help us to solve this problem?
*Note* - Currently there is an issue between yfinance and panadas 1.4, resulting in error: 'Index' object has no attribute 'tz_localize'. The yfinance community is aware of the issue and a fix will be deployed soon. In meantime there are two solutions: 1. downgrade back to pandas 1.35 2. Use period='max' then filter the data using pandas: # symbol symbol = yf.Ticker("MSFT") # get historical market data hist = symbol.history(period="max") hist = hist.loc['2018-01-01':'2018-01-31'] st.line_chart(hist.Close) st.line_chart(hist.Volume)
all in all this is great to have so thank you for this video - just to add, it would have been better to add that you should install libraries in virtual environment and never directly on your desktop.
@@irtazaanwar2144 This tutorial is definitely beginner friendly, especially the first app can be created in a few lines of code. All other apps are also built in a few lines of code.
Thank you for this powerful training.... Please, I am beginner... How do I know the environment where my streamlit is installed. Also, you activated with Conda after installing with pip, using pd, Please, can you explain? I need help
Hi dear Chanin, Thank you SO much, for such excellent tutorials. I saw the six first, I love the material, the presentation, the simplicity, and so on. AMAZING Material! gab, from Rio Cuarto, Argentina
Im new to programming (trying to learn python) and what I really want to do is make tools in networking field . For example like an app testing the speed or telling what channel the wifi is using. how can I learn that ? would I need to use API's for this tools?.... great video
Hi, I would recommend looking into arduino, raspberry pi or NVIDIA Jetson Nano as these allows you to build IoT devices that can accept inputs from the real-world from which you can code in Python and probably you can use Streamlit or other front-end GUI to interact with the real-time data.
I was already fan of this channel but now I just want to kiss u guys. I cant believe it. This is amazing. Can u guys also do project samples for C+ or other languages
i have started learning python, i m a beginner how much or what all contents should i know before i start this video... basically what info should i know so that i can learn all the turorials in the video.. pls do help me out.. thanx
Excellent! Thx for showing how to activate conda environment for the uninititated and running streamlit from cmd ...Most tutorials overlook this stuff with that level of ability assumed....great work.
I'm not sure if I'm asking the right question, but here goes: I saw a similar article that incorporates docker in deploying Streamlit web apps, may I know what are the advantages of it and how does it differ from this video's current approach?
I have modify the EDA SMP500 Stock Price plots with plotly Express I think is better adapt for Streamlit , what do you think ? def price_plot(symbol): df = pd.DataFrame(data[symbol].Close) df['Date'] = df.index fig = px.line(df.Date, y= df.Close) fig.update_layout(title= symbol, xaxis_title='Date', yaxis_title='Price ($)') st.write(fig)
Amazing video tutorial! One question, is there any tutorial that shows how to implement streamlit to a wordpress site? I want to implement some Data Science projects into a resume homepage which I build with wordpress but couldnt find any realy guidance on how to implement streamlit on wordpress.
I have a doubt/issue in the app 5: Please, how to solve it? Most sites teach how to ignore/bypass but I would like to learn how to solve it. Thanks for the simplicity and for doing meaningful apps straight away, that's what I was looking for.
Thanks very much Prof for the very good tutorial. I only discovered streamlit this week (first week of January 2022) and I am already loving to work with streamli The explanations are clear indeed
Hello please I had I just started introduction to data sciences with Python and I’m still learning the fundamentals, please do I need some knowledge of Steamlit before I can start trying to watch this video once I’m done with the fundamentals of the Python course?
No knowledge of streamlit is assumed for this tutorial, I try my best to make the tutorial as beginner friendly as possible, once you a little of python fundamentals you can definitely give this tutorial a try.
Hello professor, i got some error in video "EDA Basketball" StreamlitAPIException: ("Expected bytes, got a 'int' object", 'Conversion failed for column FG% with type object') Traceback: File "C:\Users\ASUS\streamlit_freecodecamp-main\app_3_eda_basketball\basketball_app.py", line 44, in st.dataframe(df_selected_team) how to fix it??
@@edbull4891 I did that. Still getting the “Expected bytes, got a ‘int’ object”, ‘Conversion failed for column FG% with type object’ StreamlitAPIException. May uninstall Streamlit and try to reinstall
Dear Sir, Its a profound lectures and mind blow into the world of Data science with also Streamlit application. Good Job, But sir, I can see the DNA seq, but where did you get it .Do you have the website?
Why are the examples not in order? i.e. the third chapter talks about a prior penguin application, but that doesn't happen until chapter 9? Regarding hosting your app on the cloud (streamlit), what happens if you don't get an invite (of the 1 thousand available)?
🚀🚀 First of all, you way to teach is objective and powerful! 🚀🚀 I really liked the video and all the course. 👏👏👏👏 I'm looking for one solution to create a UI for my TensorFlow models and I have some questions about it. Can you help me? 📌1 - Do you have exemple using Streamlit library withTensorFlow? 📌2 - Do you think that its possible to make trainning for TensorFlow models using Streamlit library? 📌3 - Can Streamlit library make API calls to backend? 📌4 - Whats do you think about the Heroko for deploy TensorFlow models? Thanks so much for this video. I had so much fun coding with this projects, keep doing videos like that. 😎
Hi thanks for watching and glad the video is helpful. Here's my answers to your questions: 1. I haven't made a video about it but Tensorflow can indeed be used with Streamlit. I did made some videos on using Streamlit with Scikit-learn which is shown in this video for building ML classifier for the Iris dataset, Boston housing dataset and Penguins dataset. In a recent video on my channel I show how to build a Scikit-learn web app that will automatically build ML models by just uploading a CSV file. Links to the videos are here: th-cam.com/video/eT3JMZagMnE/w-d-xo.html th-cam.com/video/HT2WHLgYpxY/w-d-xo.html 2. Yes, an example of this in action is on the website of Streamlit www.streamlit.io/ 3. Yes it can, you can call APIs in Python and show it on the frontend (using one of many widgets from Streamlit) 4. Yes, Heroku can be used to deploy models. But there is a limitation in the size of the container, you might want to check if your model and dependencies will exceed that or not. Hope this helps 😆
studying data analysis for onsite job purposes. did you have to download those yfinance, streamlit, and pandas for functioning the outputs of your project? thanks in advance.
@1:15:26 when you deployed the S&P 500 app that you wrote in Colab. Did you just copy the code and save as .py and deploy as per the previous tutorials? I have tried deploying from colab directly with no success.
I honestly can barely believe this channel exists. If you take the entire channel with all the videos, we literally get an entire college degree worth of learning for free. People can build better careers and improve their entire lives because of this channel. Thanks guys, keep it up please. I have a lot to learn, but I hope I can be successful!
When online schools make you pay for an e-textbook which links to youtube videos... That's a slap.
yourAreRght = True
print(yourAreRight)
@@eugenetcgcomputer-guy6103Question= input("Are you a Coder")
@@eugenetcgcomputer-guy6103 Syntax Error line 2
@@HardwareGeek15 “Yes I am”: str
This guy: Builds 12 apps in 3 hours
Me: Writes 10 lines of code in 3 hours
I feel your pain ;)
feel same
So true it physically hurts lmaooo
but that depends what 10lines includes :) you can write deep learning codes in 10 lines only :)
Keep practicing. You will make it one day. Best wishes
50:00 this works because the original dataframe has all of its columns as object, you will need to cast to int/float accordingly. So the workaround, export then import as csv, actually casts the data to the correct datatype.
where put float?
If I had known such a tool and tutorials would be available for free, I would have been born twenty years later. Yet, never too late to appreciate. Thanks!
For those that had the ValueError: could not convert string to float for the Basketball EDA project, you need to filter out the non-numeric columns like this "df = df.select_dtypes(include=[float, int])" before doing df.corr()
it is absolute insane that this is free. thank you so much
Thanks for watching!
Thank you professor ! That's exactly what I needed to make a cool visualisation of my project
Absolutely brilliant, easy , straight to point , confidence booster tutorial with top down approach to learn DS. Subscribed to your channel
Great collaboration thank you data professor 👨🏫
Thanks, a pleasure! 😊
Saving this for this weekend! Awesome stuff.
Thanks! Hope you find it helpful! 😊
@@DataProfessor I watched a little bit, very easy to follow. also, subscribed to you!
@@Coolhotriad Glad to hear that the video was helpful 😊
Amazing video!! just for the newbies like me ... the "beta" word from st.beta_set_page_config(layout="wide") has to be removed as its no longer in beta. So the new way of writing this line would be: st.set_page_config(layout="wide")
Sad to see that many people ignore such kind of gold videos nd prefer to watch tiktok. Thank you guys for making such awesome content. ❤️🙏
Thanks for the support!
I cannot thank you enough for this series of projects. It is amazing. Thanks a lot.
right away i get the feeling that you lay things out in a genius fashion this is great and focused upon efficiency and simplification
Data professor is a great teacher!
Thanks Gustavo!
Ну ты конечно в лужу пернул!
Thank you sir for sharing. best 3 hours of my recent data science journey.
Thank you again. i need more content like this
at 6:34 pip install
be careful, if you're using windows you may need to open the cmd as an administrator (right click -> open as administrator)
Chanin, you are great! I am doing Bioinformatics M.Sc. and this video helped me a lot. Streamlit is fun.
Awesome! Glad to hear that Kamran!
@@DataProfessor Hello Data Professor, I have problem with Tutorial 6. EDA Cryptocurrency.
In Line 63: listings = coin_data['props']['initialState']['cryptocurrency']['listingLatest']['data'], there is an error "*** TypeError: string indices must be integers".
Although we put coin_data = json.loads(data.contents[0]) on line 62 still cannot solve.
This also results in the failure to show the whole page content on streamlit. (Only the first side bar, logo and expander_bar show on the page.)
May you help us to solve this problem?
Thank you very much Chanin Nantasenamat and freeCodeCamp. I really enjoy watchin, learning and doing alongside the projects.
*Note* - Currently there is an issue between yfinance and panadas 1.4, resulting in error: 'Index' object has no attribute 'tz_localize'. The yfinance community is aware of the issue and a fix will be deployed soon. In meantime there are two solutions:
1. downgrade back to pandas 1.35
2. Use period='max' then filter the data using pandas:
# symbol
symbol = yf.Ticker("MSFT")
# get historical market data
hist = symbol.history(period="max")
hist = hist.loc['2018-01-01':'2018-01-31']
st.line_chart(hist.Close)
st.line_chart(hist.Volume)
thanks
What did you viewers expect from a professor.
But i still say fantastic. Wonderfully explained. Hope to see more advanced videos
YES! Instant bookmarked for the weekend :)
Awesome!
Who downvotes content like this?! Fantastic resource thanks DataProfessor
Thanks Troy for the support 😊
This is the best channel on TH-cam. Thank you for sharing your knowledge!
Been searching night and day for a tut like this. Stellar!
It's always pleasure to see you, also am surprised to see you here😀
Thanks to the kind folks on freeCodeCamp for this collaboration, thanks for watching!
DATA PROFESSOR!!! 💪💪💪
Hey Tina, glad to see you here!
@Siraj Haq Thanks! I get that a lot 😆
Very helpful. Clear and simplified. Thank you very much for your efforts and sharing it.
Stop scrolling down the comment section and watch the video
Stop writing comments and watch the video 😂😂
Haha, hope you enjoyed the video 😆
@@DataProfessor OMG OMG OMG OMG ITS HIM
Gotta 😅
Wait. How did you know?! 😲😲
all in all this is great to have so thank you for this video - just to add, it would have been better to add that you should install libraries in virtual environment and never directly on your desktop.
Incredible! The classification and regression projects gave me a lot of ideas, thanks!
Glad to hear and thanks for watching!
@@DataProfessor hey i have just completed learning pandas shoud i take this tutorial or their are any other pre reqisites also
@@irtazaanwar2144 This tutorial is definitely beginner friendly, especially the first app can be created in a few lines of code. All other apps are also built in a few lines of code.
@@DataProfessor thanks
God bless the guy who made Streamlit
AMEN
Thank you for this powerful training.... Please, I am beginner... How do I know the environment where my streamlit is installed. Also, you activated with Conda after installing with pip, using pd, Please, can you explain? I need help
Hi dear Chanin,
Thank you SO much, for such excellent tutorials.
I saw the six first,
I love the material, the presentation, the simplicity, and so on.
AMAZING Material!
gab, from Rio Cuarto, Argentina
Saludos desde Cba Capital Gabriel!!!
I have just seen the first project and already subscribed to Data Professor.
Awesome dude, your 3 h is more productive than mine XD cant wait fo follow along
Thanks! It's 3 hours across 3 months. 😊
The best video I have watched so far, clear explanations line by line.
onoo
ik ioikoonio
Im new to programming (trying to learn python) and what I really want to do is make tools in networking field . For example like an app testing the speed or telling what channel the wifi is using. how can I learn that ? would I need to use API's for this tools?.... great video
Hi, I would recommend looking into arduino, raspberry pi or NVIDIA Jetson Nano as these allows you to build IoT devices that can accept inputs from the real-world from which you can code in Python and probably you can use Streamlit or other front-end GUI to interact with the real-time data.
I am learning it for deploying my models of capstone project. Really useful video.
Duuuuuude 🎉 you are my hero !
I was looking for this !
Data professor is a Legendary!
Thanks for watching and for the kind words 😊
Alright, I am back. I got it fixed, no need to worry over my matter. Thanks.
This looks really cool! appreciate for sharing the knowledge!
I was already fan of this channel but now I just want to kiss u guys. I cant believe it. This is amazing. Can u guys also do project samples for C+ or other languages
I can't still get over the fact that you designed it so effin well 🤩
Much neeeeeded video, pls make more related deployment and containerization for machine learning
This channel is a godsend. Thank you so much.
Thank you for making such valuable video. Really appreciate the fact thats it’s free!!
Thanks for watching!
i just want to say i love you guys
Thank you Sir. I really appreaciate your effort to teach the world.
Very good work and exactly this what I was searching for. Thank you so much.
i have started learning python, i m a beginner how much or what all contents should i know before i start this video... basically what info should i know so that i can learn all the turorials in the video.. pls do help me out.. thanx
huge and impressive content! Thank you.
Just at the right time, much needed 😁
Awesome, thanks for watching!
Excellent! Thx for showing how to activate conda environment for the uninititated and running streamlit from cmd ...Most tutorials overlook this stuff with that level of ability assumed....great work.
I'm not sure if I'm asking the right question, but here goes: I saw a similar article that incorporates docker in deploying Streamlit web apps, may I know what are the advantages of it and how does it differ from this video's current approach?
First time listener, i found your video verry helpful
Great work 👌
Didn't understand even a word, but still interesting. Thanks!
I just did your streamlit project from your channel and now after 6 hours you are here again
Haha, thanks!
Really Enjoyed!
I was searching for streamlit, and got it here🔥🔥
Awesome!
Thanks you so much for sharing.
This content is extremely valuable
Thank you so much, I needed some light for my studies about DataScience, I'm very lost
A pleasure, thanks for watching!
Good for weekend😎
Awesome! Hope it is helpful!
In the third one I got this error:
ArrowTypeError: ("Expected bytes, got a 'int' object", 'Conversion failed for column FG% with type object')
put ' dataFrameSerialization = "legacy" ' instead of ' dataFrameSerialization = "arrow" ' in .streamlit/config.py
@@christianblack2631 how to write that in cmd?
I have modify the EDA SMP500 Stock Price plots with plotly Express I think is better adapt for Streamlit , what do you think ?
def price_plot(symbol):
df = pd.DataFrame(data[symbol].Close)
df['Date'] = df.index
fig = px.line(df.Date, y= df.Close)
fig.update_layout(title= symbol,
xaxis_title='Date',
yaxis_title='Price ($)')
st.write(fig)
Amazing video tutorial!
One question, is there any tutorial that shows how to implement streamlit to a wordpress site? I want to implement some Data Science projects into a resume homepage which I build with wordpress but couldnt find any realy guidance on how to implement streamlit on wordpress.
Thank you ..Data Professor...It was very helpful..to me...
That simple stock price app is pretty cool. I wonder if you can have it take a user input stock symbol and auto update
Does streamlit allow us to create a front end like that?
the web scrapting fuction of cryptocurrency just could not work anymore. do we have another solutions?
did you find a solution? could you please share with me
Did you find the solution? Please help me
I have a doubt/issue in the app 5:
Please, how to solve it?
Most sites teach how to ignore/bypass but I would like to learn how to solve it.
Thanks for the simplicity and for doing meaningful apps straight away, that's what I was looking for.
Absolutely remarkable, love how you describe everything
Epic tutorial, thanks
Thanks for watching!
I think tutorials should not be only scrolling down and telling "we did this, we did that, with that code line" :/
@@YxG6kTfZ3HhcAQP i am not . But i can look from beginners' perspective
Great Video !! No Clickbait, Was exactly what it stated.!!!
Thanks very much Prof for the very good tutorial. I only discovered streamlit this week (first week of January 2022) and I am already loving to work with streamli
The explanations are clear indeed
Hello please I had I just started introduction to data sciences with Python and I’m still learning the fundamentals, please do I need some knowledge of Steamlit before I can start trying to watch this video once I’m done with the fundamentals of the Python course?
No knowledge of streamlit is assumed for this tutorial, I try my best to make the tutorial as beginner friendly as possible, once you a little of python fundamentals you can definitely give this tutorial a try.
Great courses and great teacher tanks a lot :)
I tried running the crytocurrency dashboard and it showed errors after repeated attempts to rectify it
Hello professor, i got some error in video "EDA Basketball"
StreamlitAPIException: ("Expected bytes, got a 'int' object", 'Conversion failed for column FG% with type object')
Traceback:
File "C:\Users\ASUS\streamlit_freecodecamp-main\app_3_eda_basketball\basketball_app.py", line 44, in
st.dataframe(df_selected_team)
how to fix it??
in .streamlit/config.py line 344 change
value = "legacy" ' instead
of
value = "arrow"
@@edbull4891 I did that. Still getting the “Expected bytes, got a ‘int’ object”, ‘Conversion failed for column FG% with type object’ StreamlitAPIException. May uninstall Streamlit and try to reinstall
Dear Sir, Its a profound lectures and mind blow into the world of Data science with also Streamlit application. Good Job, But sir, I can see the DNA seq, but where did you get it .Do you have the website?
JUST WHEN NEEDED THIS DUDE APPEARED> 🥰
Thank you so much. It's really helpful.
Why are the examples not in order? i.e. the third chapter talks about a prior penguin application, but that doesn't happen until chapter 9?
Regarding hosting your app on the cloud (streamlit), what happens if you don't get an invite (of the 1 thousand available)?
It's possible to count in one variable instead of using a function:
from collections import Counter
X=Counter(sequence)
usually more efficient as well. the collections library is great. that and itertools are very useful.
Thanks a lot for these tutorials
Should I modify these projects quite a bit then add them to my github and credit you?
Love it! Thank you sooo much!
Helpful tutorial...thanks
Best teacher for me
This course you will get really more challenges
Thanks for sharing your knowledge.
Thanks
What are the pre requisites ?
Excited to learn!!!!
So Stramlit is a web app / web service and not a "library" for Pyton as said at the biginnig of the video ? (confused)
Hi, I have got this error :
No default language could be detected for this app.
Why is that?
🚀🚀 First of all, you way to teach is objective and powerful! 🚀🚀
I really liked the video and all the course. 👏👏👏👏
I'm looking for one solution to create a UI for my TensorFlow models and I have some questions about it. Can you help me?
📌1 - Do you have exemple using Streamlit library withTensorFlow?
📌2 - Do you think that its possible to make trainning for TensorFlow models using Streamlit library?
📌3 - Can Streamlit library make API calls to backend?
📌4 - Whats do you think about the Heroko for deploy TensorFlow models?
Thanks so much for this video.
I had so much fun coding with this projects, keep doing videos like that. 😎
Hi thanks for watching and glad the video is helpful. Here's my answers to your questions:
1. I haven't made a video about it but Tensorflow can indeed be used with Streamlit. I did made some videos on using Streamlit with Scikit-learn which is shown in this video for building ML classifier for the Iris dataset, Boston housing dataset and Penguins dataset. In a recent video on my channel I show how to build a Scikit-learn web app that will automatically build ML models by just uploading a CSV file. Links to the videos are here:
th-cam.com/video/eT3JMZagMnE/w-d-xo.html
th-cam.com/video/HT2WHLgYpxY/w-d-xo.html
2. Yes, an example of this in action is on the website of Streamlit www.streamlit.io/
3. Yes it can, you can call APIs in Python and show it on the frontend (using one of many widgets from Streamlit)
4. Yes, Heroku can be used to deploy models. But there is a limitation in the size of the container, you might want to check if your model and dependencies will exceed that or not.
Hope this helps 😆
studying data analysis for onsite job purposes. did you have to download those yfinance, streamlit, and pandas for functioning the outputs of your project? thanks in advance.
This is an unreal learning resource
@1:15:26 when you deployed the S&P 500 app that you wrote in Colab. Did you just copy the code and save as .py and deploy as per the previous tutorials? I have tried deploying from colab directly with no success.