From 4fab582fbca7e3ea4e40f757c3a3adac43e68a0d Mon Sep 17 00:00:00 2001
From: ChanChan Mao <chanchanmao1130@gmail.com>
Date: Wed, 18 Dec 2024 16:14:10 -0800
Subject: [PATCH] minor spell checks

---
 docs-v2/core_concepts.md           | 2 +-
 docs-v2/core_concepts/dataframe.md | 2 +-
 docs-v2/index.md                   | 4 ++--
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/docs-v2/core_concepts.md b/docs-v2/core_concepts.md
index f746d86d65..992f53f4da 100644
--- a/docs-v2/core_concepts.md
+++ b/docs-v2/core_concepts.md
@@ -646,7 +646,7 @@ The [`df.explode()`](https://www.getdaft.io/projects/docs/en/stable/api_docs/doc
 (Showing first 8 rows)
 ```
 
-<!-- Commented out because theres Advanced/Partitioning section -->
+<!-- Commented out because there's Advanced/Partitioning section -->
 <!-- ## Repartitioning
 
 Daft is a distributed DataFrame, and the dataframe is broken into multiple "partitions" which are processed in parallel across the cores in your machine or cluster.
diff --git a/docs-v2/core_concepts/dataframe.md b/docs-v2/core_concepts/dataframe.md
index e039b734b4..bc052cb6eb 100644
--- a/docs-v2/core_concepts/dataframe.md
+++ b/docs-v2/core_concepts/dataframe.md
@@ -640,7 +640,7 @@ The [`df.explode()`](https://www.getdaft.io/projects/docs/en/stable/api_docs/doc
 (Showing first 8 rows)
 ```
 
-<!-- Commented out because theres Advanced/Partitioning section -->
+<!-- Commented out because there's Advanced/Partitioning section -->
 <!-- ## Repartitioning
 
 Daft is a distributed DataFrame, and the dataframe is broken into multiple "partitions" which are processed in parallel across the cores in your machine or cluster.
diff --git a/docs-v2/index.md b/docs-v2/index.md
index 685e598697..447f7853d6 100644
--- a/docs-v2/index.md
+++ b/docs-v2/index.md
@@ -87,7 +87,7 @@ This user guide aims to help Daft users master the usage of Daft for all your da
 - [:octicons-code-16: **Expressions**](core_concepts.md#expressions)
 
     Daft expressions enable computations on DataFrame columns using Python or SQL for various operations.
-    
+
 - [:material-file-eye: **Reading Data**](core_concepts.md#reading-data)
 
     How to use Daft to read data from diverse sources like files, databases, and URLs.
@@ -145,7 +145,7 @@ Take a look at the many issues tagged with `good first issue` in our repo. If th
 
     Daft is the right tool for you if you are working with:
 
-    - **Large datasets** that don't fit into memory or would benefit from parallization
+    - **Large datasets** that don't fit into memory or would benefit from parallelization
     - **Multimodal data types** such as images, JSON, vector embeddings, and tensors
     - **Formats that support data skipping** through automatic partition pruning and stats-based file pruning for filter predicates
     - **ML workloads** that would benefit from interact computation within a DataFrame (via UDFs)