
Build 12 Data Science Apps with Python and Streamlit - Full Course
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Date: 2022-03-14
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Comments and reviews: 10
Lynette
The market is very unstable and you can not tell If it's going bearish or bullish. I advise y'all to forget predictions and start making a good profit now because future valuations are all speculations and guesses.When these reports are bullish take some off to the side lines, when news gets bearish start buying. -Keep it simple simple- that bear/ correction was the best thing that happened me.
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The market is very unstable and you can not tell If it's going bearish or bullish. I advise y'all to forget predictions and start making a good profit now because future valuations are all speculations and guesses.When these reports are bullish take some off to the side lines, when news gets bearish start buying. -Keep it simple simple- that bear/ correction was the best thing that happened me.
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Al
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 ($)')-
st.write(fig)
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I have modify the EDA SMP500 Stock Price plots with plotly Express I think is better adapt for Streamlit , what do you think ?
def price_plot(symbol):-
df = pd.DataFrame(data[symbol].Close)-
df['Date'] = df.index-
fig = px.line(df.Date, y= df.Close)-
fig.update_layout(title= symbol,-
xaxis_title='Date',-
yaxis_title='Price ($)')-
st.write(fig)
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Crypto
Great tutorial! thanks a lot for everything!
I encounter a small bug however when trying to filter the data on the EDA apps as the number of rows, columns don't update, and neither does the information when trying to select a different year.
Does anyone have any ideas what should I do to fix it?
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Great tutorial! thanks a lot for everything!
I encounter a small bug however when trying to filter the data on the EDA apps as the number of rows, columns don't update, and neither does the information when trying to select a different year.
Does anyone have any ideas what should I do to fix it?
reply
Thiago
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.
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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.
reply
ashwani
StreamlitAPIException: (-Expected bytes, got a 'int' object-, 'Conversion failed for column FG% with type object')
36:00 not working showing error like this
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StreamlitAPIException: (-Expected bytes, got a 'int' object-, 'Conversion failed for column FG% with type object')
36:00 not working showing error like this
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charles
could you do another class: serverless version with react chrome browser local and web asm with chartjs charting and a js datatable with sort and filtering ?
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could you do another class: serverless version with react chrome browser local and web asm with chartjs charting and a js datatable with sort and filtering ?
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Zhipeng
My question is, the app can be run locally, but when deploying through github. It has problems. Is it caused by the location of the dataset?
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My question is, the app can be run locally, but when deploying through github. It has problems. Is it caused by the location of the dataset?
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K2ICC
It will be nice one to plot moving averages instead of the Bollinger Bands. For example, to plot the 20, 50 and 200 ma on the same chart.
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It will be nice one to plot moving averages instead of the Bollinger Bands. For example, to plot the 20, 50 and 200 ma on the same chart.
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CharitosYannis
Thank you sir for sharing. best 3 hours of my recent data science journey.
Thank you again. i need more content like this
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Thank you sir for sharing. best 3 hours of my recent data science journey.
Thank you again. i need more content like this
reply
Metal
right away i get the feeling that you lay things out in a genius fashion this is great and focused upon efficiency and simplification
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right away i get the feeling that you lay things out in a genius fashion this is great and focused upon efficiency and simplification
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