Remove old Python && Fresh install Python - python

AttributeError: 'module' object has no attribute 'openssl_md_meth_names'
I keep receiving this error when trying to install Flask or any library through pip
I have viewed other attributeerror posts and they have helped but this openssl module has little insight. I did try to install Python 2.7.9
What steps should I take to remove python and preform a fresh install? I executed sudo apt-get remove python earlier and that was a big mistake. I have since recovered from that.

I would try:
sudo apt-get install --reinstall python2.7
I would also then use python2.7 instead of python in the command line to be sure I'm using the correct executable.
What I would do in your case to avoid future headaches is install python via anaconda. Tutorial here: http://docs.continuum.io/anaconda/
With this tool you install python in a different place than the system python and can use different versions and different packages for different projects without breaking your system (although it does have a learning curve). It also has good support for libraries like numpy and the like who can get grumpy when compiled and you can use pip with it.

If you use apt-get to install Python, then you get whatever version of Python is supported by your Linux distribution.
If you are using Debian, you can get 2.7.9 from the "unstable" repos (code-named "sid"). You don't necessarily have to upgrade your whole system to "unstable"; read about "pinning" packages. Pinning is tricky and I avoid it.
You also have the option of simply downloading the Python source code and building it on your system. Then you would run Python 2.7.9 out of /usr/local/bin and you would still have the stable Python supported by your system.
If you do wind up installing your own build of Python, you might want to look into VirtualEnv. http://simononsoftware.com/virtualenv-tutorial-part-2/

Related

Should Which Pip and Which Python Return the Same Directory? Zeppelin Configuration On Unix RHEL

This is probably a really dumb question but I am stuck and wasting too much time on this so I would SO appreciate any help.
I am using a RHEL 7 box and installed Apache Zeppelin on it. Everything works except for the life of me I can't import Python packages such as Pandas.
I realized I didn't have PIP so I installed it with these steps: https://pip.pypa.io/en/stable/installing/ (notice I had to use the "--user" argument for the command "python get-pip.py").
Finally, I did "pip install pandas --user" which worked perfectly. I then go into my Zeppelin notebook and I cannot import pandas, even after restarting the Python interpreter.
I did some research and I think the problem is that "which python" and "which pip" are installed in different directories as the former results in "/usr/bin/python" while the latter in "~/.local/bin/pip".
So I suspect the packages installed with pip are basically getting loaded into a different version of python? If it helps, when I do "whereis python" I get 5 different results such as "/usr/bin/python" and "/usr/bin/python2.7" etc.
First thing to understand is: Python packages aren't installed globally, every installed Python has its own set of packages. BTW, pip being a Python package with a script is also not global. If you have a few different pythons you need different pips for them. I don't know Apache Zeppelin so I cannot guess if it uses the system Python (/usr/bin/python) or has its own Python; in the latter case you need to install pip specifically for Zeppelin so its pip install packages available for Zeppelin.
To investigate to what Python pip installs packages you need to find out under what python it runs. Start with shebang:
head -1 `which pip`
The command will prints something like ~/.local/bin/python. If it's not the version of Python you need to install packages for you need to install a different pip using that Python.
The most complex case would be if the shebang is PATH-dependent, something like #!/usr/bin/env python. In that case pip runs Python that you can find with which python.
PS. AFAIK the simplest way to install pip at RedHat is dnf install python-pip.
phd's answer was very helpful but I found that it was just a matter of using the root account to install the python packages. Then my Zeppelin was able to see any packages.

Cannot uninstall 'numpy'

I've been trying to install astropy and at the end of the installation I get this message:
Cannot uninstall 'numpy'. It is a distutils installed project and thus
we cannot accurately determine which files belong to it which would
lead to only a partial uninstall.
I have tried: pip uninstall numpy and then I get the same message.
I have Python 2.7.10 in a macOS High Sierra version 13.10.5
This doesn't directly answer your question, but that's because you're asking the wrong question.
Astropy requires Python 3.5 or 3.6. Trying to get it working with Apple's pre-installed Python 2.7 is a waste of time. You might be able to get an old version working this way, but not by using the installation instructions on astropy.org, and it won't be supported even if you do.
The easy solution is to just Install the latest Anaconda 5.x with Python 3.6, because it comes with Astropy built in.
The almost-as-easy solution is to install Python 3.6 from either a python.org binary installer, or Homebrew, and then use pip3 or, better, python3 -m pip to install everything, as explained on the Astropy install page.
Either way, before doing anything else, you want to get back to a clean slate. In particular, you do not want pip, or any other scripts, attached to Apple's Python 2.7; they will only cause confusion. Assuming you can't reinstall macOS from scratch, the best way to do this is:
Look in /Library/Python/2.7/site-packages and delete everything there except for README and Extras.pth.
Look in /usr/local/bin for symlinks to anything in that site-packages. (If you don't know much about using Unix, try this command: ls -l /usr/local/bin | grep 2.7.) You'll probably have pip and pip2.7 here, and probably nothing else. But whatever you have here, delete it.
Now, when you install Python 3.6, the only thing named pip anywhere will be that Python 3.6's pip. You still want to use pip3 or python3 -m pip, but if you screw up and type pip by accident, it won't break anything.
Also, you should strongly consider using a virtual environment. See the Python Packaging Authority's User Guide (or the Anaconda docs, if you went that way) for more on this.
One simple solution I found:
sudo -H pip install astropy --ignore-installed numpy
I also had this issue and couldn't get around it in a clean way, but this is what I did:
Inside the Lib folder search "numpy" for an egg_info file (eg. numpy-1.11.0.dev0_2329eae.egg-info).
In my case, this is what Pip was looking at to determine if a current version already exists. I deleted it, then ran normal
pip install numpy
and installed the newest version.
I don't recommend this because I don't understand what it's doing under the hood and it doesn't properly uninstall the old version which could be a recipe for trouble down the line, but if you're desperate like I was then maybe this is a solution for you.

Where does pip install its modules? What if using a virtualenv? Also getting an error setting up mod_wsgi

I am new to Python and there are some things which I am not able to apprehend. Questions may seem like very kiddish, so bear with me.
As you know, Ubuntu comes with an outdated Python version. I wished to use the latest python. But since it is recommended not to override the system's python, I installed virtualenv.
I installed pip first, using sudo apt-get install python-pip.
Then installed virtualenv, using sudo pip install virtualenv, and did all the configurations required to link it to the latest python.
The questions which I want to ask are-
Where does the command pip install <module> store the module in the system? I am asking this question because there is a section in this link, which says "Installation into Python". I was confused by this, thinking whether installing a python module is sensitive to which python version I am using. If it is so, then where does pip install the module if I am using virtualenv and otherwise.
I have manually installed Apache HTTP Server 2.4.23 using this link. While installing mod_wsgi using command sudo pip install mod_wsgi, I am getting this error
RuntimeError: The 'apxs' command appears not to be installed or is not
executable. Please check the list of prerequisites in the
documentation for this package and install any missing Apache httpd
server packages.
I searched for it and the solution is to install developer package of Apache. But the problem is that I am not able to find it anywhere on it's site. I want to install it manually. What to do? Also, If I install it through sudo apt-get install apache2-dev, Will there be any difference ?
Note: As mentioned on this link, I have already set the value of APXS environment variable to the location of apxs script, which is /usr/local/apache/bin/apxs.
Concerning 1., if I have well understood, you would like to have the last 2.7 or 3.5 Python version on your distribution. Actually, you can have multiple python distribution on your distribution. I would suggest you to have a look on conda/anaconda (https://www.continuum.io/downloads) : it is very powerful and i think it would better suit you than virtualenv: virtualenv would enable you to create a separate python environnement, but it would not install a newer version of Python.
Concerning 2, I am not an expert in Apache2, but I would have used apt-get instead of re-compiling apache. While compiling, you may need some dependancies to build the mod_wsgi module. So I think it is way more easy to use the pre-built packages from your ubuntu.

Having troubles installing GDAL for Python

I am still pretty new to python, and I was wondering if anyone has had this problem before. I have read other threads, but I haven't seen this problem addressed yet. I need to install the GDAL module for python, and I have seen threads saying you need to install GDAL first and then it can be used on python, but I have also see others that said that conda install GDAL is enough. When I try the latter, I get this error. Any ideas?
I had the same problem two days ago trying to install GDAL on Debian Jessie.
The solution was using pygdal python package from PyPi.
Just read the instructions at PyPi and follow them, they are a bit different then one expects. In general:
install required dependencies into your system (e.g. using apt-get install libgdal1-dev
check, what version of GDAL is installed
use pip to install pygdal with a version matching the installed GDAL lib.
The last step is a bit unusual, but does the trick.
This works for Linux. For Windows my colleagues claim, there are ready made binaries, which can be installed.

How to install matplotlib for particular version of Python?

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/

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