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authorVincent Driessen <vincent@3rdcloud.com>2011-11-15 23:31:01 +0100
committerVincent Driessen <vincent@3rdcloud.com>2011-11-15 23:31:53 +0100
commitf15f6d784306bcc0b1c0da8effe0cb1252879d7c (patch)
tree95850508bfb10faf365c90a7b404e8df22ca35fe /README.md
parent83e29ca9872e138c1a7aec6aa77f70eaf99d4c1d (diff)
downloadrq-f15f6d784306bcc0b1c0da8effe0cb1252879d7c.tar.gz
Fix terminology.
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1 files changed, 2 insertions, 2 deletions
diff --git a/README.md b/README.md
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@@ -18,7 +18,7 @@ a background process:
Notice anything? There's nothing special about a job! Any Python function can
be put on an RQ queue, as long as the function is in a module that is
-accessible from the worker process.
+importable from the worker process.
To calculate the 36th Fibonacci number in the background, simply do this:
@@ -42,7 +42,7 @@ own desire. Common patterns are to name your queues after priorities (e.g.
# The worker
**NOTE: You currently need to create the worker yourself, which is extremely
-easy, but RQ will create a custom script soon that can be used to start
+easy, but RQ will include a custom script soon that can be used to start
arbitrary workers without writing any code.**
Creating a worker daemon is also extremely easy. Create a file `worker.py`