|
11 | 11 | </a><a href=/contribute class=navbar-item>Contribute</a><div class="navbar-item has-dropdown"><a aria-label="Select language" class=navbar-link>English</a><div class=navbar-dropdown><a href=/pt/install/ class=navbar-item>Português
|
12 | 12 | </a><a href=/ja/install/ class=navbar-item>日本語 (Japanese)</a></div></div></div></div></div></nav><section class=content-padding><div class=content-container><ul id=breadcrumbs class=bd-breadcrumbs><li class="breadcrumb-item breadcrumb-home"><a href=/><i class="fas fa-home"></i></a></li><li class=breadcrumb-item><a href=/install/>Installing NumPy</a></li></ul><h1>Installing NumPy</h1><div><p>The only prerequisite for installing NumPy is Python itself. If you don’t have
|
13 | 13 | Python yet and want the simplest way to get started, we recommend you use the
|
14 |
| -<a href=https://www.anaconda.com/distribution>Anaconda Distribution</a> - it includes |
| 14 | +<a href=https://www.anaconda.com/download>Anaconda Distribution</a> - it includes |
15 | 15 | Python, NumPy, and many other commonly used packages for scientific computing
|
16 | 16 | and data science.</p><p>NumPy can be installed with <code>conda</code>, with <code>pip</code>, with a package manager on
|
17 | 17 | macOS and Linux, or <a href=https://numpy.org/devdocs/building>from source</a>.
|
|
34 | 34 | operating system of interest. If you’re in between “beginning” and “advanced”,
|
35 | 35 | please go with “beginning” if you want to keep things simple, and with
|
36 | 36 | “advanced” if you want to work according to best practices that go a longer way
|
37 |
| -in the future.</p><h3 id=beginning-users>Beginning users<a class=headerlink href=#beginning-users title="Link to this heading">#</a></h3><p>On all of Windows, macOS, and Linux:</p><ul><li>Install <a href=https://www.anaconda.com/distribution/>Anaconda</a> (it installs all |
| 37 | +in the future.</p><h3 id=beginning-users>Beginning users<a class=headerlink href=#beginning-users title="Link to this heading">#</a></h3><p>On all of Windows, macOS, and Linux:</p><ul><li>Install <a href=https://www.anaconda.com/download>Anaconda</a> (it installs all |
38 | 38 | packages you need and all other tools mentioned below).</li><li>For writing and executing code, use notebooks in
|
39 | 39 | <a href=https://jupyterlab.readthedocs.io/en/stable/index.html>JupyterLab</a> for
|
40 | 40 | exploratory and interactive computing, and
|
|
0 commit comments