This course will teach you how to develop web apps using the Streamlit library. With just a few lines of code, you can have your app up and running in no time.

streamlit.tar.gz

Streamlit

This course will teach you how to develop web apps using the Streamlit library. With just a few lines of code, you can have your app up and running in no time.

We'll start off with learning about the various components of Streamlit, before finally building an app that you can deploy and have your users access.

Develop Web Apps with Streamlit

There are times when you might have a function in your app that is computationally expensive. Streamlit provides a means through the st.cache() method to save on this expense. When set up, it ensures that the value stored in cache is what is used by your app, thus negating the need to calculate the value each time the function is run.

The only time a new value is calculated is if one of the following things happens:

    Function input parameters change
    Function body changes
    Inner function changes

x = 200
y = 3000000
    
def non_cached_function(x, y):
    return x ** y

start = time()
non_cached_function(x,y)
duration = round((time() - start),3)

st.write("Non-Cached Function took {} seconds to run".format(duration))

@st.cache
def cached_function(x, y):
    return x ** y

start = time()
cached_function(x,y)
duration = round((time() - start),3)

st.write("Cached Function took {} seconds to run".format(duration))

In the code above, the first time you execute it, both functions will take similar time to complete. The second time you execute it, the second function will take significantly less time to complete.

First Things First

Introduction to Streamlit

Display Information with Streamlit

Display Interactive Widgets with Streamlit

Streamlit Layout

Mutate Data with Streamlit

Streamlit Miscallenous Items

Deploy Streamlit Apps

Streamlit Cache