Where are the straight-forward instructions to install Python Lean/QuantConnect natively on Linux?

Hi Brian, we're probably not going to support local installations given how hard it is; but we do support dockerized ones.

pip install lean 

This does everything for you in a perfect dockerized setup that works on all OS and ARM/AMD chipsets. 

Thanks Jared Broad for the quick response.

When you say "dockerized setup" are you including the jupyter notebook server in the container, or is there a way to use the dockerized version with any text editor?

I strongly prefer not to use jupyter/notebooks in this case, and I'm looking for a way to avoid jupyter.

The instructions here:

seem to want to accomplish that, but very few usable packages are installed by `pip install lean` and `conda install lean`. It looks like I can't do anything with this except start a Jupyter notebook and use that.

Can you confirm that using Jupyter notebooks through the docker container is pretty much the only way to develop?

If not, can you point me to the instructions for using Lean/QC that don't involve Jupyter or VS Code?

Thanks again!

https://www.quantconnect.com/docs/v2/lean-cli/getting-started/lean-cli

It's not related to VS Code or Jupyter / those are tools that help you with local installations but not required. 

LEAN CLI is a preconfigured way of running LEAN locally. You can use any code editor you want.

Just my 2 cents. I'm a fan of this guy.

Thanks Jared Broad for the suggestion, but I think that was the first (or maybe second?) method I tried last week. You're right that's a very straight-forward install and use case, but for me it's missing a crucial piece because the instructions assume that you already have a working algorithm.

I am trying to build algorithms, and for that I'm trying to get to the `from QuantConnect import *` at the bottom of these docs:

but I'm having problems with these as well---certain steps fail and it's unclear to me why (could be my fault) and also unclear which set of instructions is the one that I should be doing---do I need the docker container if I install the CLI, which config files match with which components, etc.

Anyway, thank you Foren Power for the video link. I gave it a quick watch and it might be exactly what I'm looking for. I'm going to give the steps there a try ASAP and then come back here with specific errors if I still have problems.

Jared---I'm not sure what your dev processes are---would you consider accepting a pull request with updates/additions to the repo documentation if I can get this working? Maybe if I can add a few things that would have helped me out it could be useful to others in the community.

Thanks to you both.

I don't use Linux but I think the process is the same for all ops. And it is very easy with great mew lean CLI package. What I did is:

1) pull lean docker container,

2) install lean cli with pip install lean,

3) Init lean with lean init command,

4) Generate data or prepare your own data in data folder

5) write algo in any editor and execute it with lean backtest 'algonamehere'

More here:

Before, I had to clone lean, build it etc, but above approach is much simpler. You need to clone lean only if you need to make changes to the lean source code. And even than you can use lean cli, that is lean build command.

Hope that helps.

Hi Brian,

If you are still facing issues, can you please share the errors you are seeing? There is a lot of information in this discussion, but not enough to figure out exactly what you're trying to do and what's going wrong.