diff --git a/python/dask_distributed_parallelism.html b/python/dask_distributed_parallelism.html index dc8913e..89bcea4 100644 --- a/python/dask_distributed_parallelism.html +++ b/python/dask_distributed_parallelism.html @@ -153,7 +153,7 @@

Next, you can load the web dashboard. In order to do so, the scheduler returns the number of the port you have to connect to in the line starting with "bokeh at :". The default port is 8787. Since we are running all the programs on the same computer, we just have to login to
http://127.0.0.1:8787/status
-
Finally, we have to launch the dask-worker(s). If you want to run the worker(s) on the same computer as the scheduler the type :
dask-worker 127.0.0.1:8786
If you look at http://127.0.0.1:8787/status
you will see the tasks beeing completed.
-
Once competed, gather the data:
data = client.gather(data)
df = pd.DataFrame(data)
diff --git a/sitemap.xml b/sitemap.xml
index c1703aa..5959bb4 100644
--- a/sitemap.xml
+++ b/sitemap.xml
@@ -5,7 +5,7 @@ xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
redoules.github.io/
-2018-08-13T15:02:23-00:00
+2018-08-13T15:09:29-00:00
daily
0.5