I have a problem.
I need numpy 1.14.2, and my machine (Linux Mint 17.3) has only 1.8.2 installed.
I then installed 1.14.2 through pip. But when I load it in ipython, it still says that it is 1.8.2.
Using yolk I saw that 1.14.2 is actually installed, but marked as non-active.
numpy - 1.14.2 - non-active development
(/usr/local/lib/python2.7/dist-packages)
While for 1.8.2 it says "active".
Also, 1.8.2 is located in "/usr/lib/python2.7/dist-packages/numpy".
Why is there a difference? I dont see a reason why there are two libraries.
I read that python loads the libraries by the order in $PATH.
And indeed, when I look at sys.path, I see that /usr/lib... is listet before /usr/local ....
How can I change that? I dont have anything in .bashrc, /etc/profile or /etc/rc.local which would set this specific order.
Thx.
You should use a virtual environment. Your system most likely will default to the most up to date version.
Try installing:
pip install virtualenv
then run:
virtualenv -p python2.7 environment_name.
Source the virtualenv with:
source environment_name/bin/activate
then pip install numpy=1.14.2.
Then you will have a mini environment with the exact version you want and wont update. This way you can have multiple versions all contained in the same system.
Related
I have two versions of python3 installed on my computer. They are located here:
/usr/local/bin/python3
/usr/bin/python3
I have set my PATH variable to use the first version. Running "which python3" routes to this version: /usr/local/bin/python3 -- this is what I want.
Unfortunately, pip3, and yet another version of Python, are installed in a different location (I think the version that comes pre-installed with mac). When I run "pip3 --version" I get the below:
pip 20.1.1 from /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/pip (python 3.7)
Shouldn't these match? Is there a way to make sure python3 uses the pip3 version via /usr/local/bin/pip3? Do I just need to change / add it to my path somehow?
Another option is to uninstall everything with homebrew (what I used to originally install python3), and then reinstall. However, apparently, per my co-worker, we need to stay on python3.7. I'm worried if I reinstall python3, it will default to 3.8 or higher.
Please help!
There are a few things that I have found increase the chances of success here:
don't mess with the Mac-installed default Python
don't use homebrew to install Python
use pyenv to install and manage Python versions
Here's a useful write-up on The right and wrong way to set Python 3 as default on a Mac.
I want to upgrade my base environment to Python 3.8. According to the official documentation, I should just run conda install -c anaconda python. This, however, only upgrades Python 3.7, so, in the end:
(base) C:\Users\bob>conda install -c anaconda python
Collecting package metadata (current_repodata.json): done
Solving environment: done
# All requested packages already installed.
(base) C:\Users\bob>python --version
Python 3.7.6
conda update -c anaconda python only updated a number of packages, but not Python itself.
And if I specify a version, like explained here, after two hours analyzing dependencies, the upgrade fails because of conflicts.
I managed to set up a 3.8 environment, but I'd rather upgrade my base environment as it's the one my system path for use outside of Anaconda.
Any suggestion?
It doesn't appear to be possible to update the base version of anaconda to 3.8 yet because of the conflicts you mention. I assume once all the standard packages are updated to support 3.8+ (and updated versions of all dependencies), then the anaconda release will include 3.8.x as the default. This might take a while.
The problem here is version conflicts in the packages that anaconda installs by default. The reason you can install 3.8 in a clean environment is because no other packages are installed in that environment, so no conflicts.
This does now present a solution, although it requires reinstalling everything from scratch...
disclaimer: I don't use windows, so adapt my instructions accordingly to your OS.
Remove your existing anaconda install from the path and delete
anything in your bashrc (or windows equivalent) that points to it.
You can just delete/uninstall anaconda, but it's good to have a backup just incase, so leaving it there and removing links to it is a good option.
Download and install miniconda, and put it in your path as you had before.
Install python 3.8 in the base environment conda install python=3.8
Install all the packages that you need to do whatever you do.
Depending on what you install, at some point you may run into the same conflicts that prevent a standard anaconda install from updating at the moment, but that hasn't happened for me.
The latest stable version of anaconda is version 3.7
Please see here:
https://www.anaconda.com/distribution/
There isn't an option to get python 3.8, this is due to anaconda sometimes running a version behind the release of python.
I had the same issue and found there is a 2020-07 release of Anaconda with Python 3.8 https://www.anaconda.com/products/individual
I'm new to programming and following a course where I must install Tensorflow. The issue is that I'm using Python 3.8 which I understand isn't supported by Tensorflow.
I've downloaded Python 3.6 but I don't know how to switch this as my default version of python.
Would it be best to set up a venv using python 3.6 for my program and install Tensorflow in this venv?
Also, I using Windows and Powershell.
Tensorflow is only supported until python 3.7 as of now.
You can check it here: https://www.tensorflow.org/install/pip
But there is a way to install it on Python3.8, just run the below command that will do your job:
python -m pip install --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.12.0-py3-none-any.whl
This command work on mac and windows both, I haven't tested on Linux.
You should always use venv because by default every project on your system will use these same directories to store and retrieve site packages (third party libraries). At first glance, this may not seem like a big deal, and it isn’t really, for system packages (packages that are part of the standard Python library), but it does matter for site packages.
Consider the following scenario where you have two projects: ProjectA and ProjectB, both of which have a dependency on the same library, ProjectC. The problem becomes apparent when we start requiring different versions of ProjectC. Maybe ProjectA needs v1.0.0, while ProjectB requires the newer v2.0.0.
You can also take a look at anaconda, it’s the most populasr data sciencie platform and will be easy for you install tensorflow and jupiter notebook in just 2 clicks. Anaconda
Uninstall all your python versions and use the latest anaconda.
$ conda create --name tensorflow python=3.5
This way you create a virtual environment with python 3.5 which is supported by tensorflow.
So now you can install it.
$ activate tensorflow
(tensorflow) $ pip install tensorflow
it would have been nice if you would have the share the error screenshot
though as per i got the case
tensorflow work in both 3.8 and 3.6 just you have to check that you have 64bit version not 32 bit
you can acess both version from thier respective folder no need to install a venv
If you don't want to use Anaconda or virtualenv, then actually multiple Python versions can live side by side. I use Python38 as my default and Python35 for TensorFlow until they release it for Python38. If you wish to use the "non-default" Python, just invoke with the full path of the python.exe (or create a shortcut/batch file for it). Python then will take care of using the correct Python libs for that version.
Worked on Python 3.8.2 (default, Mar 05 2020, 18:58:42) [GCC] on linux
pip3 install --upgrade tf-nightly
Python Versions 3.5 - 3.8 are supported now.
You can verify on this page:
https://www.tensorflow.org/install/pip
I installed Anaconda 3 2.3.0 on Windows xp. It is supposed to be the last version of anaconda to support windows xp as it contains python 3.4.3, and python 3.4.x is the last version of python to support windows xp.
When installing a package with
conda install
,one of its dependencies was updating conda to conda 4.x. conda 4.x crashed in the commandline when running conda install . This made anaconda unusable that i uninstalled anaconda.
My question, is it possible to lock versions of packages ? For the two use cases:
lock and forget : for packages I never want them to update, i need to run a command to lock them once so they will never update as a depency
ignore updating : install a package while ignoring to update certain package passed by name in this update.
If only one of the 2 use cases is possible or is known or is easier, please write it as answer.
There are two bits to this. First, you can prevent conda from auto-updating by changing the configuration option auto_update_conda to False:
conda config --set auto_update_conda False
The other bit is to pin packages to certain versions. For those packages you don't want to update, you can pin the version by adding a line to a file called pinned (you might need to create it) in the environment's conda-meta directory. The syntax is
[The code] below [placed in conda-meta/pinned] forces NumPy to stay on the 1.7 series, which is any version that starts with 1.7, and forces SciPy to stay at exactly version 0.14.2:
numpy 1.7.*
scipy ==0.14.2
See the documentation for more information.
Pin for conda install (=): package=1.0
vs.
Pin for pip install (==): package==1.0
Try
pip install <package name==version no*>
for instance
pip install musdb==0.2.*
That would pin your package
I have installed scipy and numpy, and they are being used with my current, desired version of python 2.7.6 (I am running on OSX Mavericks and had to upgrade.) However, when I pip installed matplotlib, by default it referenced my previous python version, 2.7.5, thus making it troublesome to use (obviously.)
How do I change which version of python matplotlib uses so I can import and use the library?
Thanks.
The way I would solve this problem is like this, firstly one would need to go into your 2.7.6 directory, and under the Scripts folder you will find the pip executable. My suggestion is (because its difficult to debug this kind of people without having all the details) is this:
./pip install matplotlib
And see if this succeeds, otherwise, I suggest using pyenv to manage your python installations.
I suggest you use Macports for installing additional Python versions on OS X. Once Macports is installed, it's fairly easy to install Python 2.7.6. All you'd have to do is:
sudo port install python27
Now, you should be able to get all the libraries you need just as easily, using, too, Macports.
sudo port install py27-numpy
sudo port install py27-scipy
sudo port install py27-matplotlib
Macports should solve all the dependencies and, of course, link the packages to their correct Python versions, avoiding you a lot of headaches.
For a step by step guide on how to set up a nice, functional Python environment, visit: http://jakevdp.github.io/blog/2013/02/02/setting-up-a-mac-for-python-development/