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author | Vincent Driessen <vincent@3rdcloud.com> | 2011-11-15 23:31:01 +0100 |
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committer | Vincent Driessen <vincent@3rdcloud.com> | 2011-11-15 23:31:53 +0100 |
commit | f15f6d784306bcc0b1c0da8effe0cb1252879d7c (patch) | |
tree | 95850508bfb10faf365c90a7b404e8df22ca35fe /README.md | |
parent | 83e29ca9872e138c1a7aec6aa77f70eaf99d4c1d (diff) | |
download | rq-f15f6d784306bcc0b1c0da8effe0cb1252879d7c.tar.gz |
Fix terminology.
Diffstat (limited to 'README.md')
-rw-r--r-- | README.md | 4 |
1 files changed, 2 insertions, 2 deletions
@@ -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` |