This is an automated email from the ASF dual-hosted git repository.

skrawcz pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/hamilton.git


The following commit(s) were added to refs/heads/main by this push:
     new da524c98 Fix typos and minor formatting issues in documentation (#1373)
da524c98 is described below

commit da524c98e32887f294f56a9fb893000a99b3f7fb
Author: datashaman <[email protected]>
AuthorDate: Sun Aug 24 07:49:21 2025 +0200

    Fix typos and minor formatting issues in documentation (#1373)
    
    * Fix typos and minor formatting issues in documentation
    
    * Fix commmunicate
---
 docs/community/index.md          | 10 +++++-----
 docs/how-tos/pre-commit-hooks.md |  4 ++--
 docs/integrations/streamlit.md   |  6 +++---
 3 files changed, 10 insertions(+), 10 deletions(-)

diff --git a/docs/community/index.md b/docs/community/index.md
index cfbed2d4..d5251c82 100644
--- a/docs/community/index.md
+++ b/docs/community/index.md
@@ -1,6 +1,6 @@
 # Meet-ups
 
-We have an active global meet up group that meets virtually once a month.
+We have an active global meetup group that meets virtually once a month.
 
 You can [sign up for the group 
here](https://www.meetup.com/global-hamilton-open-source-user-group-meetup/).
 
@@ -9,16 +9,16 @@ The below will be out of date. Please [see our 
youtube](https://www.youtube.com/
 
 
 ### August 2024
--[Recording](https://youtu.be/3LREcaewZbo?feature=shared)
+- [Recording](https://youtu.be/3LREcaewZbo?feature=shared)
 
 ### June 2024
--[Recording](https://youtu.be/SsrIIM1ed4w?feature=shared)
+- [Recording](https://youtu.be/SsrIIM1ed4w?feature=shared)
 
 ### April 2024
--[Recording](https://youtu.be/_-yXfnBtrlg?feature=shared)
+- [Recording](https://youtu.be/_-yXfnBtrlg?feature=shared)
 
 ### March 2024
--[Recording](https://youtu.be/IJByeN41xHs?feature=shared).
+- [Recording](https://youtu.be/IJByeN41xHs?feature=shared)
 
 ### February 2024
 - [Recording](https://www.youtube.com/watch?v=ks672Lm0CJo).
diff --git a/docs/how-tos/pre-commit-hooks.md b/docs/how-tos/pre-commit-hooks.md
index a2856cfc..803fcc4e 100644
--- a/docs/how-tos/pre-commit-hooks.md
+++ b/docs/how-tos/pre-commit-hooks.md
@@ -81,7 +81,7 @@ def B(A: int) -> float: ...
 def C(A: int, B: float) -> None: ...
 
 # driver code
-dr = driver.Builder().with_mdoules(my_module).build()
+dr = driver.Builder().with_modules(my_module).build()
 dr.validate_execution(final_vars=["C"]) # <- success
 ```
 
@@ -92,7 +92,7 @@ def B(X: int) -> float: ...
 def C(A: int, B: float) -> None: ...
 
 # driver code
-dr = driver.Builder().with_mdoules(my_module).build()
+dr = driver.Builder().with_modules(my_module).build()
 dr.validate_execution(final_vars=["C"]) # <- failure. missing `A`
 ```
 
diff --git a/docs/integrations/streamlit.md b/docs/integrations/streamlit.md
index 65e3db26..9c22d4b7 100644
--- a/docs/integrations/streamlit.md
+++ b/docs/integrations/streamlit.md
@@ -39,7 +39,7 @@ if __name__ == "__main__":
 > ⚠ This example is illustratory and real applications quickly get more 
 > complex.
 
 ### 2. Cache and state management
-When the user interacts with the app, Streamlit reruns your entire Python code 
to update what's displayed on screen 
([reference](https://docs.streamlit.io/get-started/fundamentals/main-concepts#data-flow)).
 By default, no data is preserved between updates and all computations need to 
be executed again. Your application suffer slow downs if you handle large 
dataframes or load machine learning models in memory for instance. To overcome 
this limitation, Streamlit allows to [cache expensive  [...]
+When the user interacts with the app, Streamlit reruns your entire Python code 
to update what's displayed on screen 
([reference](https://docs.streamlit.io/get-started/fundamentals/main-concepts#data-flow)).
 By default, no data is preserved between updates and all computations need to 
be executed again. Your application suffer slow downs if you handle large 
dataframes or load machine learning models in memory for instance. To overcome 
this limitation, Streamlit allows to [cache expensive  [...]
 
 ```python
 import pandas as pd
@@ -54,14 +54,14 @@ def app():
 
     # load_dataframe() will only run the first time
     df = load_dataframe(path="...")
-    st.dataframes(df)
+    st.dataframe(df)
 
     # If favorite flavor is known, display it.
     if st.session_state("favorite"):
         st.write(f"Your favorite ice cream is: {st.session_state['favorite']}")
     # Ask for the favorite ice cream until an answer is given.
     else:
-        st.text_inputs(
+        st.text_input(
             "What's your favorite ice cream flavor?",
             key="favorite",  # key to st.session_state
         )

Reply via email to