I have python 3.8 installed in my windows 10 machine as system python.
I want to install anaconda. What precautions/steps should I take so that the system python does not interfere with the anaconda installation(which I am doing at a user level) while executing binaries or installing packages?
There are no specific precautions to take: a standard install of Anaconda won't replace the default Python installation of your system, unless you ask for it explicitly during setup.
Afterwards, you will be able to create independent conda environments, each of them having their own Python version and set of packages.
As #Woodford pointed to in eir comment, you will learn a lot by looking at the docs.
Related
I try installing python with
pyenv install 3.11.0
(though this happens no matter the version) on my Raspberry Pi. When the install is running, there's a 3.11.0 directory in ~/.pyenv/versions, pyenv versions recognizes it, and the installed python is actually usable, but the dir disappears after the installation process finished.
Raspberry Pi OS - Debian GNU/Linux 11 (bullseye) aarch64
Aside from one time when it errored out, this has happened every time I tried installing, including 3.11, 3.10, 3.9 and 3.8
I have tried:
Installing python 3.11, 3.10, 3.9 and 3.8, so I dont think it will work with any other version
Reinstalling pyenv and its dependencies multiple times
One possible cause of this issue is that there is a conflict between pyenv and another tool that you have installed on your Raspberry Pi. For example, if you have another version of Python installed on your system, it is possible that this version is overwriting the directories created by pyenv.
Another possible cause is a permissions issue. If the user account that you are using to install Python does not have the correct permissions to create and modify directories, this could cause the directories to be deleted after they are created.
To troubleshoot this issue, you may want to try the following steps:
Check to see if you have any other versions of Python installed on your system. If you do, try uninstalling them and then re-installing the versions of Python that you want to use with pyenv.
Check the permissions for the ~/.pyenv/versions directory. Make sure that the user account that you are using to install Python has permission to create and modify files in this directory.
Try installing a different version of Python, such as Python 3.8. This will help you determine if the issue is specific to certain versions of Python, or if it occurs with all versions.
If you are still experiencing issues, you may want to try uninstalling pyenv and then reinstalling it from scratch. This will reset the configuration of pyenv and may help resolve any underlying issues with the tool.
As I already have quite a lot of packages installed without installing Anaconda will I have to reinstall them again separately? Or are they accessible in Anaconda environment because I have them preinstalled? There is a similar question which has the answer suggesting installing only miniconda but in my case Anaconda is necessary.
No, anaconda uses completely different environments and whatever downgrading it does, it does it within it's own environments. So, if you are using anaconda environments within your applications, you don't need to reinstall anything but if you are using another environment (like pip only) you need to make sure you have installed all the necessary packages there as well.
Also, if a package is installed using pip and not installed in conda, it will automatically switch to pip so there is no problem there.
Is there any benefit of using Anaconda for PyCharm instead of the standard python distribution for PyCharm?
Using Anaconda instead of standard Python will benefit you as Anaconda comes with preinstalled packages. A lot of time will be saved there since installing various packages and making them run gets irritating sometimes.
Also, since it will have preinstalled packages, it can be heavy for your system. You can try miniconda as an alternative where you install packages when required. It is still better than having Python only. You can even install Anaconda by using conda install anaconda
Pip installation of Python packages sometimes may cause few problems to the user and you need to constantly update the pip as well before installing any other python packages via pip. So using Anaconda will be a benefit in this case.
I have Ubuntu 16.04 LTS with Python 2.7 and 3.5. I've set up virtual environments to access both 2.7 and 3.5 separately and everything works fine.
Now, I need to install Anaconda to access some libraries for a class I am taking. Whats the best way to do this without disrupting the virtual environments I have already set up.
Install Miniconda, a mini version of Anaconda that includes just conda, its dependencies and Python.
https://conda.io/docs/user-guide/install/index.html#installing-conda-on-a-system-that-has-other-python-installations-or-packages
You do not need to uninstall other Python installations or packages in order to use conda. Even if you already have a system Python, another Python installation from a source such as the macOS Homebrew package manager and globally installed packages from pip such as pandas and NumPy, you do not need to uninstall, remove, or change any of them before using conda.
Try using documentation of anaconda as most of the dependencies are untouched while installing it
I want to install Python 2.7 in two places at once on my Windows machine. For example, one in c:\python27 and another in c:\myproduct\python27. The official installer refuses to let me do this. If there is already an installation when I run the installer, it prompts me and asks if I want to Change, Repair or Remove the existing installation.
The TARGETDIR trick mentioned elsewhere on Stackoverflow doesn't work either - I get the same result if I type the following into a cmd window:
msiexec /i python-2.7.8.msi TARGETDIR=c:\myproduct\python27
So, is there anyway to install Python 2.7 twice on my Windows machine?
Reasons I want to do this are:
My product requires a 32-bit version of Python 2.7 to be installed because it uses ctypes to load a 32-bit DLL. If the user already has a 64-bit version of 2.7 installed, I don't think it is safe to install the 32-bit version over the top.
Relying on the users pre-installed Python 2.7 is bad because they might uninstall it later. That would stop my product from working.
It reduces the complexity of testing my product if I can make its installer always install a known version of Python. I can rely on it being in a known state.
I'd like to add the pyreadline module to the Python install that is part of my product. I suspect most users would rather that I did not mess around with their Python install.
When a user uninstalls my product, the Python it installed should also be removed. If I installed Python in the standard place the user might come to use it for other purposes and be surprised when it goes missing when they uninstall my product.
It appears that you should be able to install the 32 bit version of Python 2.7 in another folder when the 64-bit version is already installed. See How do I install Python 2.7.3 32 bit and 64 bit on Windows side by side for a description. However it may be tricky to automate this, you might have to get users to install it themselves.
I would suggest you ask your users to install Python 2.7 32-bit, and give them instructions on how to do it if they already have a conflicting 64-bit version. Then in your installation you:
Ensure that virtualenv is installed (and install it if it is not).
Create a virtualenv in your application folder.
That addresses everything except the second item on your list and I think you simply have to accept that no matter what you do, if someone removes a component that you need your application will fail. If they do that they can use the 'repair' option on your installer from which you can either reinstall the missing Python or tell them that's what they need to do.
To install virtualenv I would first install pip (see https://pip.pypa.io/en/latest/installing.html for instructions, you need to download get_pip.py and run it with the Python 2.7 interpreter), then just run pip install virtualenv.