From d512641ab0e9bf6714ccb25b6aed5238373a74d2 Mon Sep 17 00:00:00 2001
From: JacekHoleczek <15139005+JacekHoleczek@users.noreply.github.com>
Date: Fri, 4 Aug 2023 13:12:34 +0200
Subject: [PATCH] Update setup.md
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Adds explicit web links to the `environment.yml` and the `requirements.txt` files (important for users who want to try the tutorial on their own or their lab’s computer).
---
 setup.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/setup.md b/setup.md
index e059370..d8046b4 100644
--- a/setup.md
+++ b/setup.md
@@ -70,14 +70,14 @@ Simply click the following button:
 
 # After the tutorial
 
-If you want to install some of these packages on your own or your lab's computer, I recommend [Miniforge](https://github.com/conda-forge/miniforge) (or Anaconda/Miniconda with the [conda-forge channel](https://conda-forge.org/docs/user/introduction.html#how-can-i-install-packages-from-conda-forge)). This method also provides a way to [install ROOT in the same environment](https://github.com/conda-forge/root-feedstock#readme). To setup the environment use the environment.yml file in base of this repository as:
+If you want to install some of these packages on your own or your lab's computer, I recommend [Miniforge](https://github.com/conda-forge/miniforge) (or Anaconda/Miniconda with the [conda-forge channel](https://conda-forge.org/docs/user/introduction.html#how-can-i-install-packages-from-conda-forge)). This method also provides a way to [install ROOT in the same environment](https://github.com/conda-forge/root-feedstock#readme). To setup the environment use the [environment.yml](https://github.com/hsf-training/hsf-training-scikit-hep-webpage/blob/main/environment.yml) file (plus its [requirements.txt](https://github.com/hsf-training/hsf-training-scikit-hep-webpage/blob/main/requirements.txt) file) in [base](https://github.com/hsf-training/hsf-training-scikit-hep-webpage) of this repository as:
 
 
 ```bash
 conda env create --file environment.yml
 ```
 
-Alternatively, you can install all required packages locally with pip: Take a look at environment.yml for a list (this includes all dependencies listed under the pip key and some of the dependencies listed above).
+Alternatively, you can install all required packages locally with pip: Take a look at the [environment.yml](https://github.com/hsf-training/hsf-training-scikit-hep-webpage/blob/main/environment.yml) and the [requirements.txt](https://github.com/hsf-training/hsf-training-scikit-hep-webpage/blob/main/requirements.txt) for a list (this includes all dependencies listed under the pip key and some of the dependencies listed above).
 
 
 {% include links.md %}