Conda is a package and environment management system that allows you to:
Install the correct version of Python to run your software
Install software without admin rights (useful for shared machines and compute clusters).
Install software without affecting anyone elses software installation (e.g. on a shared machine).
Install software without potentially messing up any important software on your machine.
Install multiple (potentially conflicting) versions of software at the same time, and allow you to switch between the two. This is very useful if you want to keep using a specific version of software for one experiment, but try out some new features of the latest release for another.
(If you know what you're doing with virtual environments, feel free to ignore this, but conda does make CUDA and cuDNN installation easier).
Download the correct version of miniconda from here. You should download:
The correct version for your operating system (Linux/Windows/macOS etc.)
The Python 3.x version (i.e. not the Python 2.7 version)
The 64-bit version (in the unlikely event that you have a 32 bit machine, cellfinder probably won't work anyway).
You can download Anaconda instead, but we recommend miniconda.
N.B. conda is the program we are using, and is installed by both miniconda or Anaconda.
Open a new terminal window. On Linux and macOS, this is just called "Terminal", and on Windows, it will be called "Anaconda Prompt".
You should see a small screen with a prompt like:
(base) [email protected]:~$
(base) is the bit that tells you that conda is set up
Open a terminal (or Anaconda Prompt) and type:
conda create --name ENV_NAME python=3.9
Create a new conda environment (a kind of walled-off area on your computer that shouldn't affect other parts)
Call it something so you can reference it later (replace
ENV_NAME with something useful)
Install python version 3.9 into it.
conda activate ENV_NAME
ENV_NAME with whatever you called your environment
Your prompt should change to show the change from
(ENV_NAME) [email protected]:~$
The reason why we use conda environments (other methods other than conda are available) is to have separate Python installations. This way anything we do in the cellfinder environment shouldn't affect any of the other environments.
If anything goes wrong, and cellfinder stops working (and can't be fixed), you can simply make a new environment, and start again. If you have any troubles though, please get in touch.