You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
We recommend installing geo-related dependencies with `conda-forge`. We
19
24
have created a custom yaml list with all of the dependencies that you will
20
25
need to run the lessons in this course. Follow
21
26
these steps below to get your environment ready.
22
27
23
28
About Conda Environments: https://conda.io/docs/user-guide/tasks/manage-environments.html
24
29
25
-
An environment for conda has been created specifically for this course. To load this run:
30
+
An environment for conda has been created specifically for this course. To load it, run:
26
31
27
32
`conda env create -f environment.yml`
28
33
29
34
* Note that it takes a bit of time to run this setup
30
-
* Also note that for the code above to work, you need to be in the directory where the `environment.yml` file lives.
35
+
* Also note that for the code above to work, you need to be in the directory where the `environment.yml` file lives (ex: cd earth-analytics-python-env).
36
+
31
37
32
38
To manage your conda environments, use the following commands:
33
39
@@ -69,7 +75,7 @@ docker run -it -p 8888:8888 earthlab/earth-analytics
69
75
70
76
To run your earth-analytics image, use the following code:
71
77
72
-
`docker run -it -p 8888:8888 earthlab/earth-analytics-python-env`
78
+
`docker run --hostname localhost -it -p 8888:8888 earthlab/earth-analytics-python-env`
73
79
74
80
NOTE: `earthlab/earth-analytics-python-env` is the name of this image as built above. To
0 commit comments