## Download Numpy Mac

## Posted on October 4, 2016 by Paul

NumPy appreciates help from a wide range of different backgrounds. Work such as high level documentation or website improvements are valuable and we would like to grow our team with people filling these roles. Go to the Python download page and download the package called Python 2.7.2 Mac OS X 64-bit/32-bit x86-64/i386 Installer. Double-click the downloaded.dmg file to install Python. Go to the NumPy download page and download the package called numpy-1.6.1-py2.7-python.org-macosx10.6.dmg. Install as usual.

*Updated 26 January 2020*

In this article, I will show you how to install Python 3 with NumPy, SciPy and Matplotlib on macOS Catalina.

There is also a video version of this tutorial:

MacOS comes by default with Python 2.7 which, at this point, receives only bug fixes and will be EOL by 2020. Python 3.x is the future and it is supported by all major Python libraries. In this tutorial, we’ll use Python 3.8.

Start by installing the *Command Line Tools* for *macOS*. Please note, that you will need the *Command Line Tools* even if you’ve already installed *Xcode*. Open a Terminal and write:

Once the *Command Line Tools* are installed, we can install Python.

The official installer of Python is a *pkg* file that will start a GUI installer which will guide you through the installation. You can also check the video version of this tutorial if you want to see how I did it.

As a side note, you can have multiple Python 3 versions installed on your macOS machine. If this is the case, you can select which version you want to use by specifying the version number, e.g.:

or:

After the above, you can invoke Python 3.8 using the *python3.8* command. *python3* will also invoke the latest installer version of Python 3. This is what I see if I run *python3.8* on my machine:

Next, let’s follow best practices and create a new Python environment in which we can install *NumPy*, *SciPy* and *Matplotlib*:

At this point, your prompt should indicate that you are using the *work* environment. You can read more about Python environment in the documentation.

Once an environment is activated, all the install commands will apply only to the current environment. By default, if you close your Terminal, the environment is deactivated. If you want to be able to use it, use the *source work/bin/activate* command.

We can install *NumPy*, *SciPy* and *Matplotlib* with:

As a side note, when you are in an active environment you can use the *python* command to invoke the Python interpreter, no need to use the version number.

Fire up Python, import *scipy* and print the version of the installed library. This is what I see on my machine:

Let’s try something a bit more interesting now, let’s plot a simple function with *Matplotlib*. First, we’ll import *SciPy* and *Matplotlib* with:

Next, we can define some points on the (0, 1) interval with:

Now, let’s plot a parabola defined on the above interval:

You should see something like this:

As you’ve probably noticed, *plt.show()* is a blocking command. You won’t be able to use the interpreter until you close *Figure 1*.

There is also an interactive mode in which you can plot functions. Close *Figure 1* and write:

This is what you should see:

At any point you can disable the interactive plot mode with:

after which you will need to use the *plt.show()* function in order to actually see the result of the *plt.plot* function.

If you want to learn more about Python and Matplotlib, I recommend reading Python Crash Course by Eric Matthes. The book is intended for beginners, but has a nice *Data Visualization* intro to *Matplotlib* chapter:

Another good Python book, for more advanced users, which also uses *Matplotlib* for some of the book projects is Python Playground by Mahesh Venkitachalam:

## Official source and binary releases¶

For each official release of NumPy and SciPy, we provide source code (tarball),as well as binary wheels for several major platforms (Windows, OSX, Linux).

Project | Available packages | Download location |
---|---|---|

NumPy | Official | |

SciPy | Official | SciPy release page (sources) PyPI page for SciPy (all) |

## Source code repository access¶

The most recent development versions of NumPy and SciPy are available throughthe official repositories hosted on GitHub.

To check out the latest **NumPy** sources:

To check out the latest **SciPy** sources:

## Build instructions¶

Build instructions for SciPy can be found in its documentation.The latest version can be found at:https://docs.scipy.org/doc/scipy-dev/reference/building/index.html

## Third-party/vendor package managers¶

## Download Numpy Module Python

Below is a partial list of third-party and operating system vendor packagemanagers containing NumPy and SciPy packages.

## Download Numpy For Mac

These packages are **not** maintained by the NumPy and SciPydevelopers; this list is provided only as a convenience. Thesepackages may not always provide the most up-to-date version of thesoftware, and may be unmaintained.

**IMPORTANT:** If you experience problems with these packages (*especially*those related to installation/build errors), **please report the problem tothe package maintainer first, rather than to the NumPy/SciPy mailing lists**.

## Download Numpy On Mac

## Uninstall Numpy Mac

Distribution | NumPy Packages | SciPy Packages |
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numpy-py27,numpy-py35 | scipy-py27,scipy-py35 Rabbit mac song download mp3. | |

py-numpy, | py-scipy, | |

python-numpy,python-numpy-devel | python-scipy,python-scipy-devel |