File tree 4 files changed +18
-19
lines changed 4 files changed +18
-19
lines changed Original file line number Diff line number Diff line change @@ -12,8 +12,9 @@ <h1>{{ docstitle|e }}</h1>
12
12
< p > < strong > For users:</ strong > </ p >
13
13
< table class ="contentstable " align ="center "> < tr >
14
14
< td width ="50% ">
15
- < p class ="biglink "> < a class ="biglink " href ="{{ pathto( "user /setting-up") }}"> Setting up</ a > < br />
16
- < span class ="linkdescr "> Learn about what NumPy is and how to install it</ span > </ p >
15
+ < p class ="biglink "> < a class ="biglink " href ="{{ pathto( "user /whatisnumpy") }}"> What is NumPy?</ a > < br />
16
+ < span class ="linkdescr "> Who uses it and why</ span > </ p >
17
+ < p class ="biglink "> < a class ="biglink " href ="https://numpy.org/install/ "> Installation</ a > < br />
17
18
< p class ="biglink "> < a class ="biglink " href ="{{ pathto( "user /quickstart") }}"> Quickstart</ a > < br />
18
19
< span class ="linkdescr "> Aimed at domain experts or people migrating to NumPy</ span > </ p >
19
20
< p class ="biglink "> < a class ="biglink " href ="{{ pathto( "user /absolute_beginners") }}"> Absolute beginner's guide</ a > < br />
Original file line number Diff line number Diff line change 3
3
.. _user :
4
4
5
5
################
6
- NumPy User Guide
6
+ NumPy user guide
7
7
################
8
8
9
- This guide is intended as an introductory overview of NumPy and
10
- explains how to install and make use of the most important features of
11
- NumPy. For detailed reference documentation of the functions and
12
- classes contained in the package, see the :ref: `reference `.
9
+ This guide is an overview and explains the important features;
10
+ details are found in :ref: `reference `.
13
11
14
12
.. toctree ::
15
13
:maxdepth: 1
16
14
17
- setting-up
15
+ whatisnumpy
16
+ Installation <https://numpy.org/install/ >
18
17
quickstart
19
18
absolute_beginners
20
19
basics
Original file line number Diff line number Diff line change 1
- ****************
2
- Installing NumPy
3
- ****************
4
-
5
- In most use cases the best way to install NumPy on your system is by using a
6
- pre-built package for your operating system. Please see
7
- https://scipy.org/install.html for links to available options.
8
-
9
- For instructions on building for source package, see
10
- :doc: `building `. This information is useful mainly for advanced users.
1
+ :orphan:
2
+
3
+ ****************
4
+ Installing NumPy
5
+ ****************
6
+
7
+ See `Installing NumPy <https://numpy.org/install/ >`_.
Original file line number Diff line number Diff line change
1
+ :orphan:
2
+
1
3
***************************
2
4
Troubleshooting ImportError
3
5
***************************
@@ -69,7 +71,7 @@ or conda.
69
71
Using Eclipse/PyDev with Anaconda/conda Python (or environments)
70
72
----------------------------------------------------------------
71
73
72
- Please see the
74
+ Please see the
73
75
`Anaconda Documentation <https://docs.anaconda.com/anaconda/user-guide/tasks/integration/eclipse-pydev/ >`_
74
76
on how to properly configure Eclipse/PyDev to use Anaconda Python with specific
75
77
conda environments.
You can’t perform that action at this time.
0 commit comments