From 8be2a2eb3fe472918aa04357102c379d0f7ab235 Mon Sep 17 00:00:00 2001 From: lilyclements Date: Tue, 30 Jun 2026 23:03:31 +0100 Subject: [PATCH 1/2] Fix typo from "R" to "Python" in version --- source/reading.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/source/reading.md b/source/reading.md index e0d4c5f1..ea88136e 100755 --- a/source/reading.md +++ b/source/reading.md @@ -1137,7 +1137,7 @@ these. Tags are keywords that tell the web browser how to display or format the content. Above you can see that the information we want (`$800`) is stored between an opening and closing tag (`` and ``). In the opening tag, you can also see a very useful "class" (a special word that is sometimes -included with opening tags): `class="result-price"`. Since we want R to +included with opening tags): `class="result-price"`. Since we want Python to programmatically sort through all of the source code for the website to find apartment prices, maybe we can look for all the tags with the `"result-price"` class, and grab the information between the opening and closing tag. Indeed, From e65a97bcb4e14630b29c9854271b6ce9d9096daf Mon Sep 17 00:00:00 2001 From: lilyclements Date: Tue, 30 Jun 2026 23:04:43 +0100 Subject: [PATCH 2/2] Remove duplicated word --- source/wrangling.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/source/wrangling.md b/source/wrangling.md index aa5fe42d..e2244743 100755 --- a/source/wrangling.md +++ b/source/wrangling.md @@ -115,7 +115,7 @@ A data frame storing data regarding the population of various regions in Canada. ```{index} Series ``` -In Python, `pandas` **series** are are objects that can contain one or more elements (like a list). +In Python, `pandas` **series** are objects that can contain one or more elements (like a list). They are a single column, are ordered, can be indexed, and can contain any data type. The `pandas` package uses `Series` objects to represent the columns in a data frame. `Series` can contain a mix of data types, but it is good practice to only include a single type in a series