differences for PR #636

Author: actions-user

00-before-we-start.md

@@ -102,7 +102,7 @@ when you have multiple projects. In general, you may wish to create separate dir
 your scripts, data, and documents.
 
 - **`data/`**: Use this folder to store your raw data. For the sake of transparency and provenance,
-  you should always keep a copy of your **raw data**. If you need to cleanup data, do it
+  you should always keep a copy of your **raw data**. If you need to clean up data, do it
   programmatically (*i.e.* with scripts) and make sure to separate cleaned up data from the raw data.
   For example, you can store raw data in files `./data/raw/` and clean data in `./data/clean/`.
 

04-data-types-and-format.md

@@ -348,14 +348,14 @@ df1['weight'].mean()
 38.751976145601844
 ```
 
-We can fill `NaN` values with any value that we chose. The code below fills all
+We can fill `NaN` values with any value that we choose. The code below fills all
 `NaN` values with a mean for all weight values.
 
 ```python
 df1['weight'] = surveys_df['weight'].fillna(surveys_df['weight'].mean())
 ```
 
-We could also chose to create a subset of our data, only keeping rows that do
+We could also choose to create a subset of our data, only keeping rows that do
 not contain `NaN` values.
 
 The point is to make conscious decisions about how to manage missing data. This

06-loops-and-functions.md

@@ -325,7 +325,7 @@ AND the file name itself.
 
 2. Let's say you only want to look at data from a given multiple of years. How would you modify your loop in order to generate a data file for only every 5th year, starting from 1977?
 
-3. Instead of splitting out the data by years, a colleague wants to do analyses each species separately. How would you write a unique CSV file for each species?
+3. Instead of splitting out the data by years, a colleague wants to do analyses of each species separately. How would you write a unique CSV file for each species?
 
 ::::::::::::::::::::::: solution
 

09-working-with-sql.md

@@ -23,7 +23,7 @@ exercises: 25
 ## Python and SQL
 
 When you open a CSV in python, and assign it to a variable name, you are using
-your computers memory to save that variable. Accessing data from a database like
+your computer's memory to save that variable. Accessing data from a database like
 SQL is not only more efficient, but also it allows you to subset and import only
 the parts of the data that you need.
 
@@ -225,7 +225,7 @@ con.close()
   results to their own tables in the portal database.
 
 2. What are some of the reasons you might want to save the results of your queries back into the
-  database? What are some of the reasons you might avoid doing this.
+  database? What are some of the reasons you might avoid doing this?
 
 ::::::::::::::::::::::: solution
 

md5sum.txt

@@ -4,16 +4,16 @@
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+"episodes/00-before-we-start.md" "ea73df20140c0901824a9a1eefb8cdbc" "site/built/00-before-we-start.md" "2026-04-06"
 "episodes/01-short-introduction-to-Python.md" "c94d05a1efb9a917e75dcd56ad344862" "site/built/01-short-introduction-to-Python.md" "2024-02-21"
 "episodes/02-starting-with-data.md" "7aae8d49ef03e5c65d66cc0104ddbf10" "site/built/02-starting-with-data.md" "2024-02-23"
 "episodes/03-index-slice-subset.md" "3085c53ba22bacb5ecf486aedefa4a8c" "site/built/03-index-slice-subset.md" "2025-04-29"
-"episodes/04-data-types-and-format.md" "e57b9b771e5d2dcf4c9e2521822f8d5a" "site/built/04-data-types-and-format.md" "2023-06-05"
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 "episodes/05-merging-data.md" "8491d51a41ad970f69acac6162e97432" "site/built/05-merging-data.md" "2024-02-21"
-"episodes/06-loops-and-functions.md" "d41f11e6c162c86393cd9bd4431c0687" "site/built/06-loops-and-functions.md" "2023-05-18"
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 "episodes/07-visualization-ggplot-python.md" "be85fc2fd560b30bee0818ecf4a4e712" "site/built/07-visualization-ggplot-python.md" "2024-03-29"
 "episodes/08-putting-it-all-together.md" "b279a4ab47789abda7f71609a78022ed" "site/built/08-putting-it-all-together.md" "2024-01-31"
-"episodes/09-working-with-sql.md" "e27af594f7ae68613dbaae8240493770" "site/built/09-working-with-sql.md" "2023-05-18"
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 "instructors/CONTRIBUTORS.md" "71ca6d2e0d81004775e42ce90cd6a298" "site/built/CONTRIBUTORS.md" "2023-05-08"
 "instructors/extra_challenges.md" "38b0d3016d4045f9d621c2cc267c72d6" "site/built/extra_challenges.md" "2023-05-18"
 "instructors/instructor-notes.md" "a3b921e91514156550fb850d42e90f80" "site/built/instructor-notes.md" "2023-05-19"