From ef863ebf81555e0cc41dd447d4f4468097fa4b57 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Guillaume=20Redoul=C3=A8s?= Date: Mon, 13 Aug 2018 15:09:53 +0200 Subject: [PATCH] minor update --- python/dask_distributed_parallelism.html | 4 ++-- sitemap.xml | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) 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 @@

launch_scheduler

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

-

web_dashboard

+

web_dashboard

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
@@ -220,7 +220,7 @@ Import the required libraries and define the function to be executed.

If you look at http://127.0.0.1:8787/status

you will see the tasks beeing completed.

-

progress

+

progress

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