diff --git a/docs/contributors/README.md b/docs/contributors/README.md
index 20b3c278..9a739cd5 100644
--- a/docs/contributors/README.md
+++ b/docs/contributors/README.md
@@ -1,3 +1,3 @@
-Here we maintain a database of contributors, from which we generate credits on release blog posts and social medias.
+Here we maintain a database of contributors, from which we generate credits on release blog posts and social media.
 
 For the HTTPie blog see: <https://httpie.io/blog>.
diff --git a/docs/installation/generate.py b/docs/installation/generate.py
index a67389dd..0597a3a4 100644
--- a/docs/installation/generate.py
+++ b/docs/installation/generate.py
@@ -55,7 +55,7 @@ def build_docs_structure(database: Database):
     tree = database[KEY_DOC_STRUCTURE]
     structure = []
     for platform, tools_ids in tree.items():
-        assert platform.isalnum(), f'{platform=} must be alpha-numeric for generated links to work'
+        assert platform.isalnum(), f'{platform=} must be alphanumeric for generated links to work'
         platform_tools = [tools[tool_id] for tool_id in tools_ids]
         structure.append((platform, platform_tools))
     return structure
diff --git a/extras/profiling/benchmarks.py b/extras/profiling/benchmarks.py
index c7374f6a..9d409deb 100644
--- a/extras/profiling/benchmarks.py
+++ b/extras/profiling/benchmarks.py
@@ -13,7 +13,7 @@ please run `pyperf system tune` to get even more accurate results.
 
 Examples:
 
-    # Run everything as usual, the default is that we do 3 warmup runs
+    # Run everything as usual, the default is that we do 3 warm-up runs
     # and 5 actual runs.
     $ python extras/profiling/benchmarks.py
 
@@ -188,7 +188,7 @@ DownloadRunner('download', '`http --download :/big_file.txt` (3GB)', '3G')
 def main() -> None:
     # PyPerf will bring it's own argument parser, so configure the script.
     # The somewhat fast and also precise enough configuration is this. We run
-    # benchmarks 3 times to warmup (e.g especially for download benchmark, this
+    # benchmarks 3 times to warm up (e.g especially for download benchmark, this
     # is important). And then 5 actual runs where we record.
     sys.argv.extend(
         ['--worker', '--loops=1', '--warmup=3', '--values=5', '--processes=2']