Good question! So we've had a lot of feedback that the install flow was confusing to users. That's because we're doing a few things behind the scenes like

pip-tools compile

,

requirements.in

+

requirements.txt

so

kedro install

In the next major version things will be simplified into the following: 1.

kedro build-reqs

is still going to prepare

src/requirements.txt

so that the dependencies are fully resolved. 2. We then recommend running

pip install -r src/requirements.txt

to install your compiled dependencies. I'm pretty sure

conda install

will work here too, but we do know that conda sometimes has issues with the kedro optional dependencies like

pip install "kedro[pandas]"

.

Cool! I think I've got it set up pretty slick

yaml
name: groseq-analysis
channels:
  - r
  - conda-forge
  - bioconda
dependencies:
  - python=3.7
  - pip
  - pip:
    - -r requirements.txt
  # Extras
  - r-base
  - rpy2
  - r-r.utils
  - r-essentials
  - bioconductor-genomicranges
  - bioconductor-genomicscores
  - bioconductor-phastCons100way.UCSC.hg19

So the requirements.txt is untouched for now from

kedro new

amazing!

FYI

kedro install

currently does (badly) a conda update from environment.yml. In 0.18 when

kedro install

is removed, if you want to use conda you'll need to write the

conda install

command yourself - that should work exactly the same as it does now if you're already doing it that way

@User Is there any reason that Kedro doesn't use something like Poetry as the package manager and dependency resolver? I felt it was really easy to incorporate in my flow and it nicely packages the requirements in the

pyproject.toml

Hi @User it’s something we may experiment with in the future, but I think the general answer is that we try to introduce the user to the smallest amount of things. As @antony.milne says we’re going to remove

kedro install

in the next version and basically just provide the

build-reqs

functionality. Lastly, there is nothing stopping you using poetry - but it does make it easier for us in the dev team having a flow we can support easily.

We did look into using poetry about 18 months ago and there were some compatibility issues (I can probably find the details if you're interested). I would like us to look into it again though to see if it's a possibility now since it sounded great and we're moving other stuff to pyproject.toml