[med-svn] [Git][med-team/intake][master] Numerated list should be indented to not mess up formatting in some implementations

[Andreas Tille]

Andreas Tille pushed to branch master at Debian Med / intake


Commits:
718d619c by Andreas Tille at 2020-06-21T17:53:20+02:00
Numerated list should be indented to not mess up formatting in some implementations

- - - - -


1 changed file:

- debian/control


Changes:

=====================================
debian/control
=====================================
@@ -52,13 +52,14 @@ Depends: ${python3:Depends},
 Description: lightweight package for finding and investigating data
  Intake is a lightweight set of tools for loading and sharing data in
  data science projects. Intake helps you:
- 1. Load data from a variety of formats into containers you already know,
-    like Pandas dataframes, Python lists, NumPy arrays and more.
- 2. Convert boilerplate data loading code into reusable intake plugins.
- 3. Describe data sets in catalog files for easy reuse and sharing
-    between projects and with others.
- 4. Share catalog information (and data sets) over the network with the
-    Intake server.
+ .
+  1. Load data from a variety of formats into containers you already know,
+     like Pandas dataframes, Python lists, NumPy arrays and more.
+  2. Convert boilerplate data loading code into reusable intake plugins.
+  3. Describe data sets in catalog files for easy reuse and sharing
+     between projects and with others.
+  4. Share catalog information (and data sets) over the network with the
+     Intake server.
 
 Package: python3-intake-doc
 Architecture: all
@@ -72,12 +73,13 @@ Recommends: python3-intake
 Description: documentation for the python3-intake package
  Intake is a lightweight set of tools for loading and sharing data in
  data science projects. Intake helps you:
- 1. Load data from a variety of formats into containers you already know,
-    like Pandas dataframes, Python lists, NumPy arrays and more.
- 2. Convert boilerplate data loading code into reusable intake plugins.
- 3. Describe data sets in catalog files for easy reuse and sharing
-    between projects and with others.
- 4. Share catalog information (and data sets) over the network with the
-    Intake server.
+ .
+  1. Load data from a variety of formats into containers you already know,
+     like Pandas dataframes, Python lists, NumPy arrays and more.
+  2. Convert boilerplate data loading code into reusable intake plugins.
+  3. Describe data sets in catalog files for easy reuse and sharing
+     between projects and with others.
+  4. Share catalog information (and data sets) over the network with the
+     Intake server.
  .
  This package contains documentation for python3-intake.



View it on GitLab: https://salsa.debian.org/med-team/intake/-/commit/718d619c6324c8573e4823957ad768f2884db169

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