Okay, out of curiosity I did a quick GitHub search of all keyword_ usages in Python files, which is the canonical way to bypass hard-keyword limitation 
Here are the results (sorted from highest count to lowest count):
| Keyword | Count | Link to search | Notes |
|---|---|---|---|
class_ |
158k | Link | |
in_ |
99.1k | Link | Notably used by SQLAlchemy |
from_ |
89.6k | Link | 85.5k results with from_ and to (or to_) in the file (link) |
or_ |
79.6k | Link | Notably used by SQLAlchemy |
assert_ |
72.4k | Link | |
and_ |
69.6k | Link | Notably used by SQLAlchemy |
is_ |
44.8k | Link | Notably used by SQLAlchemy |
lambda_ |
32.1k | Link | |
not_ |
26.1k | Link | Notably used by SQLAlchemy |
raise_ |
23.3k | Link | |
import_ |
14.5k | Link | |
else_ |
10.6k | Link | |
async_ |
10k | Link | |
as_ |
9.3k | Link | |
with_ |
9.2k | Link | |
if_ |
7.3k | Link | |
pass_ |
6.8k | Link | |
True_ |
6.8k | Link | |
global_ |
6.3k | Link | |
return_ |
6.1k | Link | |
def_ |
5.9k | Link | |
except_ |
5k | Link | |
yield_ |
3.8k | Link | |
False_ |
3.7k | Link | |
continue_ |
3.4k | Link | |
for_ |
3.2k | Link | |
break_ |
2.8k | Link | |
while_ |
1.6k | Link | |
await_ |
907 | Link | |
elif_ |
640 | Link | |
finally_ |
414 | Link | |
nonlocal_ |
147 | Link | |
try_ |
104 | Link |
So, we can see that from_ is really high in this list, and most of the time indeed in a from/to context.
I don’t know if that’s enough to justify making it special, but I think that show this is a fairly common problem!