How to install numpy to Python 3.5?

Question

I'm attempting to install numpy on python3.5 via :

python3.5 -m pip install numpy

but receive error :

/usr/local/bin/python3.5: No module named pip

Same error for pip3 :

python3.5 -m pip3 install numpy
/usr/local/bin/python3.5: No module named pip3

Reason I'm attempting to install numpy this way is pip3 is pointing to a 3.4 dist-packages dir :

pip3 install numpy
Requirement already satisfied (use --upgrade to upgrade): numpy in /usr/local/lib/python3.4/dist-packages
Cleaning up..

How to install numpy to Python 3.5 ?

Update:

I decided to use docker in order to install on a clean ubuntu14.04 environment and it worked out of box.

wim · Accepted Answer · 2021-03-01 17:58:19Z

9

Although using virtual environment is advisable in many use-cases, it is not strictly required. You can have a system python3.5 and a pip installation associated with it.

Note that Python 3.5 is now end-of-life and pip has now dropped support. The final version of pip supporting Python 3.5 was 20.3.4 (Jan 2021).

Download this file: pip-20.3.4-py2.py3-none-any.whl
Bootstrap a pip installation using the wheel file: sudo python3.5 pip-20.3.4-py2.py3-none-any.whl/pip install pip-20.3.4-py2.py3-none-any.whl
Install numpy with python3.5 -m pip install --user numpy

edited Mar 1, 2021 at 17:58

answered Jan 21, 2017 at 0:09

wim

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2 Comments

Hektor Over a year ago

"This script does not work on Python 3.5. The minimum supported Python version is Python 3.6... 03.2021

wim Over a year ago

@Hektor Pip has recently dropped support for Python 3.5, so their get-pip script has stopped working. Thanks for the heads-up. I've updated this answer with an approach that doesn't rely on the script, it should continue to work with 3.5.

erewok · Accepted Answer · 2017-01-20 22:44:45Z

4

I strongly recommend using a virtual environment and in the case of the scientific Python stack, I further recommend using anaconda. It will save you loads of headaches in the future.

Download anaconda for Python3.5.
Create an environment.
Activate it.
conda install numpy.

Step 2 looks like this:

conda create --name env_name numpy

Step 3 looks like this:

source activate env_name

Step 4 looks like this:

conda install numpy

Now, anytime you want to use numpy or any other dependency in your environment, you just do source activate env_name.

To deactivate, do:

source deactivate

answered Jan 20, 2017 at 22:44

erewok

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