I am using openSUSE Leap 42.1 and do some data analysis work in python. Most of the python packages I use are available in the standard openSUSE repositories (e.g. obs://build.opensuse.org/devel:languages:python); however sometimes they aren't, whereas they are available in Anaconda. I would like to replace all of the python packages installed on my computer with those available through Anaconda.
Is it possible to just install Anaconda in parallel with the normal openSUSE packages or should I manually delete the packages I've installed? I know python is used heavily throughout the operating system so I probably don't want to deep clean the system of python before going the Anaconda route.
Has anyone done this before? I was unable to find any info on this on the Anaconda site, and I'm curious if there is a clean way to do this.
I read the anaconda documentation, and there is no evidence of anaconda packages replacing your openSUSE packages. There isn't a reason for it to do so. If I got it right, then Conda is very similar to ruby's gem and similar tools, which definitely don't replace the installed packages. I think you can feel free to install it next to your current packages. Also, you can specify the python and python package version in the anaconda envinroments, which is another thing which it allows you to do, so you can decide what you will use there. Note, I'm not a conda user, this is how I understood the docs. Hope this helps.
I just wanted to go from 2.7 to 3.5+. To do that I did
$ sudo apt-get remove python
Followed by installing python 3.5 packages..
Now I cannot get into my operating system. It shows the screen for UBuntu 13.04 but beyond that it restarts. How do I go about recovering my Linux Mint back?
Do I need to reinstall it fresh or is there way to repair this. Please help me out.
As per #MattDMo, I did have a USB Stick with Linux Mint 17.3 (the latest copy) and over wrote the already installed copy of Linux Mint. It worked like a charm!
Two things to keep a note of:
1.) Do not install a lower version than the one that is/was present because that does not work well.
2.) Your home folder is not encrypted, if it is it will be an interesting problem.
Also AFAIK there is no need to reinstall fresh, you can just install the copy in the same drive and location and it should work fine.
You'll most likely need to reinstall fresh. You can view the Ubuntu wiki on Python here. Essentially, a lot of base packages have dependencies upon Python 2.7. A potentially more thorough response is available over on AskUbuntu at this link.
As also mentioned by other users, the preferred method is to install Python 3 alongside Python 2. It's easy enough to invoke it by using python3 instead of python.
I'm trying to use different versions of python on win7, and I was told that I can use the python laucher.
I find the docs for it: https://docs.python.org/3/using/windows.html#launcher
But I don't know where is it. Someone say its called py.exe, but there is no file with this name on my computer.
I installed python 3.4.3 with Anaconda, https://store.continuum.io/cshop/anaconda/, comes with Scipy
===========
UPDATE:
Since there is no python launcer in Anacoda, how can I re-install it? Or if there is better way of using different version on Win7?
It should be in the root directory of Python 3.3 installs and higher. It is not available for Python2.
Go to C:\PythonXX\ and you should find py.exe for your version.
In Command Prompt or your favorite shell (like Cygwin), run:
py -3.3 -m path/to/myscript.py
However, this only works if you have a 3.3 or higher installed.
EDIT: Anaconda does not come with Python launcher. It is only available for an ActiveState, standard, or probably many other installs.
EDIT2: Here are two brand-new, Python 3.4 installs of ActiveState Python and Anaconda Python, screenshotted. Notice how Anaconda Python does not include py.exe and a lot of other (non-essential) executables?
EDIT3: After some "difficult" testing, just set anaconda as your default install for Python3.4 and grab the py.exe from another install. That is all. So you can install Python3.4 from another source, uninstall it, and save the py.exe, make sure it is in the system path, and the python launcher is fully installed.
EDIT4: Actually there's also a standalone installer available here:
https://bitbucket.org/vinay.sajip/pylauncher/downloads
If installing python from python.org's downloads and you select "[x] install pylauncher [x] install for all users", py.exe is installed in C:\Windows\py.exe.
I think if you don't install for all users, then it's in the python install root.
If you are able to run py from cmd.exe, then you can find out where it is with where py.exe.
It looks like the python executable is part of the conda command if you're using Anaconda, according to their website. According to Alexander Huszagh (see his answer), the python launcher doesn't come with Anaconda python.
Here is a blog post that is perhaps relevant.
I first tried everything Alexander Huszagh has written. But none of it helped.
It took me a really long time to find the Python Launcher. I had accidentally changed how to open .py-files. And once you change it, you can't do right mouse click "Edit with IDLE" anymore. I eventually found them in the C:\Windows\ directory named py.exe.
The experts gave a reply which seems relevant to one version of python but not the latest version. e.g. In my least favorite command line tool I entered:
C:\Program Files (x86)\Python36-32>dir py.exe /s
It replied:
File Not Found
I am looking for the best option to keep my Python upgraded and to install new packages. I know there was previous discussion like this: Why use pip over easy_install? but they often quite old.
The problem is: I have ubuntu 12.04 at home and Windows 7 at work, would like to keep both of them on the same (newest) version level.
In ubuntu I found that repository contains often old version so I use different procedures to install new packages. I also found that pip installs new version, but did not check other options. In windows I try to install from provided .exe files which sometimes is difficult, and to have ipython working I had to install pythontools. Over the internet I see a lot of opinion about the subject, and advocates to different tools.
Is there a way to keep to different computers (ubuntu/windows) upgraded on the same level and what is the best choice.
I am looking for a constructive opinions like: if you use ... then you don't have to add paths manually but you need to clean downloaded files, or this ... will work perfectly on linux but for the reason ... not on windows.
I would like to use it in ubuntu 12.04 and Windows 7
I'm not sure about Windows. I think people like pip because it does dependencies better than easy_install. But I don't know enough about that to say more. Using virtualenv is a great choice in that it keeps your projects versions. You can also to pip freeze > requirements.txt to get a list of packages you installed within virtual env. This file can then be used to download those versions in another virtualenv. virtualenv installs its own local pip
If someone has problem with installation basic packages under windows this http://viziblr.com/news/2012/4/21/step-by-step-installing-pandas-on-windows-7-from-pypi-with-e.html gives good help. It works well in windows, although does it does not resolve the issue.
A colleague of mine wants to use my python 2 code on his OS X (10.6) machine. My code imports several built-in python packages, including Tkinter and shelve, and also uses third-party packages, including numpy, scipy, matplotlib, and ipython.
I've encountered a few problems with OS X's built-in python. (IDLE doesn't work, for example*). I suspect I should install a more recent version of python, and a different version of Tk.
My questions:
Will having two different versions of python/Tk on the same machine cause problems?
I would like to associate the terminal commands 'python', 'ipython', and 'easy_install' with the more recent version of python. How should I do this?
When I install third-party packages like numpy using a .dmg file, how do I control which version of python numpy installs into?
Is there a better way to do this?
If this process goes well, I'd consider adding OS X instructions to my code's documentation, so I'd like to boil down this process to the simplest, most general approach.
*EDIT: Also, this
EDIT: Thank you everyone for the useful answers. My colleague tried MacPorts, which seems to work well, but has a few speedbumps. First we had to install Xcode from the system install disk. This is not a fast or lightweight install (several GB). Luckily we still had the disk! Once Xcode was installed, MacPorts was easy to install. Python and the python subpackages we needed were also easy to install, but he told me this installation took several hours. Presumably this delay is due to compilation? He had an easy time setting the MacPorts python as default. However, I think we have to change the 'Python Launcher' application by hand, this seems to still default to the system python.
Even though he has a working system now, I'm tempted to ask him to try one of the other solutions. I'm not sure all of my code's potential users will tolerate a multi-hour, multi-gigabyte installation.
I use brew to install all my libraries/compilers/interpreters.
To install python try this:
brew install python
Then add Python's binaries directory to your $PATH in your ~/.profile:
export PATH=`brew --prefix python`/bin:$PATH
I'd recommend you to install pip, virtualenv and virtualenvwrapper to have better control over your environment too.
Have you tried ActivePython?
It includes a package manager (PyPM) that, by default, installs into your home directory (eg: ~/Library/Python/2.7). Main scripts get symlinked in /usr/local/bin; use the included pythonselect to set the active Python version.
You don't have to bother installing .dmg packages, as PyPM is a binary package manager ... therefore you can install non-pure Python packages like NumPy without having to compile things yourself.
ActivePython can use Apple's Tcl/Tk or, if installed, ActiveTcl.
A "simplest, most general approach" in your documentation could be:
Install ActivePython 2.7
Open Terminal and type pypm-2.7 install matplotlib ipython
Using MacPorts, you can install python 2.6, 2.7, 3.1 and 3.2 at the same time, with their own packages, without ever touching the built-in python.
numpy, scipy, matplotlib, and ipython are also available as ports for most of those python versions.
Moreover, if you install the python_select port, you'll be able:
to choose which one of those (plus the built-in python) is the "default" python;
to install python packages through easy_install/pip for the "selected" python, if they're not available as ports.
Add virtualenv to the mix, and you'll have a very, very flexible Python development environment.
As for your questions:
Q1: with MacPorts, no. while not a frequent user, I've installed and used matplotlib in 2.6 and 2.7, switching between the two using python_select.
Q2: easy_install, pip, ipython will be "linked" to the python they were installed by. (but see tip 1)
Q3: it's easier to install one of the py{26,27,xx}-numpy ports, or pip install numpy under your python_select'ed python.
Q4: well, MacPorts is the best thing I know after APT on Debian/Ubuntu... :-)
Now, two tips if you try MacPorts:
MacPorts cleanly installs ports separately from the OS X installation, in an /opt/local directory, and each python version is installed in a /opt/local/Library/Frameworks/Python.framework/Versions/{2.5,2.6,2.7,...} directory. Using python_select cleanly switch the "python" command using links. BUT... the Versions/{2.5,2.6,2.7,...}/bin directory, where python scripts are installed, is not added to the PATH. Just adding: export PATH=/opt/local/Library/Frameworks/Python.framework/Versions/Current/bin:$PATH to your ~/.profile will always give you direct access to the scripts installed for the selected python.
to avoid bad surprises, I've added a echo Selected python is \"$(python_select -s)\" line to my ~/.profile, so I always know which is my currently selected python when opening a session... :-)
Regards,
Georges
In almost all cases, the best python to use is the one from http://python.org/. It sets up the paths correctly and doesn't overwrite anything. DMG package installs usually work automatically, as does python setup.py install, and it's not too hard to get setuptools to work. If you want per-user installs, it is easy to set up .pydistutils.cfg and python automatically recognizes the path install_lib = ~/Library/Python/$py_version_short/site-packages
An addendum regarding the usage of brew:
Since some time, brew install python will install python3.
If you intend to install python2, you want to use
brew install python#2
It is perfectly fine to install both python and python3 using brew!
Here is an old post that answers your questions too.
In general it is not a problem at all to have more than one python installation on your machine. You just have to watch out which one you are calling on the command line.
>> which python
... helps to identify where your python binary is located. The original Mac OS X python is usually at "/usr/bin/python"
I personally use the MacPorts python installation. It also supports you with the installation of modules. (see link above)
I have 4 versions of python on my MacBook Pro. 2 from the original install of OS X 10.6 and a subsequent update, then self installed copies of python 2.7 and 3.2. You can update the python command to point at any of the versions. They all install in separate directories and cause no problems with each other.
I'm not sure what will happen when you install from a .dmg file. I believe it will simply use whatever version python points to.
This post on superuser.com answers your questions on changing default paths.