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     new 2e202fd6fe docs: fix typos and improve wording in README (#20301)
2e202fd6fe is described below

commit 2e202fd6fe0da66d5b08dab1bfece4301b16d83f
Author: Divyansh Pratap Singh <[email protected]>
AuthorDate: Fri Feb 13 06:21:55 2026 +0530

    docs: fix typos and improve wording in README (#20301)
    
    ## Which issue does this PR close?
    
    N/A
    
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    We generally require a GitHub issue to be filed for all bug fixes and
    enhancements and this helps us generate change logs for our releases.
    You can link an issue to this PR using the GitHub syntax. For example
    `Closes #123` indicates that this PR will close issue #123.
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    ## Rationale for this change
    
    This PR fixes minor typos and improves wording consistency in README.md
    to enhance clarity and maintain consistent formatting.
    
    
    <!--
    Why are you proposing this change? If this is already explained clearly
    in the issue then this section is not needed.
    Explaining clearly why changes are proposed helps reviewers understand
    your changes and offer better suggestions for fixes.
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    ## What changes are included in this PR?
    
    - Fix minor typos
    - Improve wording clarity
    - Ensure consistent capitalization in feature descriptions
    
    <!--
    There is no need to duplicate the description in the issue here but it
    is sometimes worth providing a summary of the individual changes in this
    PR.
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    ## Are these changes tested?
    
    Not needed. These are documentation changes only.
    
    
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    ## Are there any user-facing changes?
    
    No. This only updates the README.
    
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---
 README.md | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/README.md b/README.md
index 880adfb3ac..630d4295bd 100644
--- a/README.md
+++ b/README.md
@@ -58,7 +58,7 @@ DataFusion is an extensible query engine written in [Rust] 
that
 uses [Apache Arrow] as its in-memory format.
 
 This crate provides libraries and binaries for developers building fast and
-feature rich database and analytic systems, customized to particular workloads.
+feature-rich database and analytic systems, customized for particular 
workloads.
 See [use cases] for examples. The following related subprojects target end 
users:
 
 - [DataFusion Python](https://github.com/apache/datafusion-python/) offers a 
Python interface for SQL and DataFrame
@@ -67,7 +67,7 @@ See [use cases] for examples. The following related 
subprojects target end users
   DataFusion.
 
 "Out of the box,"
-DataFusion offers 
[SQL](https://datafusion.apache.org/user-guide/sql/index.html) and 
[Dataframe](https://datafusion.apache.org/user-guide/dataframe.html) APIs, 
excellent [performance],
+DataFusion offers 
[SQL](https://datafusion.apache.org/user-guide/sql/index.html) and 
[DataFrame](https://datafusion.apache.org/user-guide/dataframe.html) APIs, 
excellent [performance],
 built-in support for CSV, Parquet, JSON, and Avro, extensive customization, and
 a great community.
 
@@ -84,7 +84,7 @@ See the [Architecture] section for more details.
 [performance]: https://benchmark.clickhouse.com/
 [architecture]: 
https://datafusion.apache.org/contributor-guide/architecture.html
 
-Here are links to some important information
+Here are links to important resources:
 
 - [Project Site](https://datafusion.apache.org/)
 - 
[Installation](https://datafusion.apache.org/user-guide/cli/installation.html)
@@ -97,8 +97,8 @@ Here are links to some important information
 
 ## What can you do with this crate?
 
-DataFusion is great for building projects such as domain specific query 
engines, new database platforms and data pipelines, query languages and more.
-It lets you start quickly from a fully working engine, and then customize 
those features specific to your use. [Click 
Here](https://datafusion.apache.org/user-guide/introduction.html#known-users) 
to see a list known users.
+DataFusion is great for building projects such as domain-specific query 
engines, new database platforms and data pipelines, query languages and more.
+It lets you start quickly from a fully working engine, and then customize 
those features specific to your needs. See the [list of known 
users](https://datafusion.apache.org/user-guide/introduction.html#known-users).
 
 ## Contributing to DataFusion
 
@@ -115,15 +115,15 @@ This crate has several [features] which can be specified 
in your `Cargo.toml`.
 
 Default features:
 
-- `nested_expressions`: functions for working with nested type function such 
as `array_to_string`
+- `nested_expressions`: functions for working with nested types such as 
`array_to_string`
 - `compression`: reading files compressed with `xz2`, `bzip2`, `flate2`, and 
`zstd`
 - `crypto_expressions`: cryptographic functions such as `md5` and `sha256`
 - `datetime_expressions`: date and time functions such as `to_timestamp`
 - `encoding_expressions`: `encode` and `decode` functions
 - `parquet`: support for reading the [Apache Parquet] format
-- `sql`: Support for sql parsing / planning
+- `sql`: support for SQL parsing and planning
 - `regex_expressions`: regular expression functions, such as `regexp_match`
-- `unicode_expressions`: Include unicode aware functions such as 
`character_length`
+- `unicode_expressions`: include Unicode-aware functions such as 
`character_length`
 - `unparser`: enables support to reverse LogicalPlans back into SQL
 - `recursive_protection`: uses 
[recursive](https://docs.rs/recursive/latest/recursive/) for stack overflow 
protection.
 


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