From 9b22a1c861b706dd7facd77831001c19da38e67c Mon Sep 17 00:00:00 2001
From: Jeevan <118162251+jivan84@users.noreply.github.com>
Date: Mon, 21 Nov 2022 17:10:42 +0530
Subject: [PATCH] Added a useful resource

Hey, I've added a useful reference link for installing python, I think this will best add to your content and give your readers a more diverse understanding of the topic. I hope you will like this. Thank you.
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 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 5e3ae09..44992b7 100644
--- a/README.md
+++ b/README.md
@@ -376,7 +376,7 @@ The spiritual successor to spyder, in that it is designed specifically for scien
 
 # Beginner Recommendations
 
-* First, install python through anaconda, which will also give you the packages you're about to use.
+* First, [install python](https://www.scaler.com/topics/python/how-to-install-python-in-windows/) through anaconda, which will also give you the packages you're about to use.
 * Write your code in either `pycharm` (if you want a professional IDE), `spyder` or  `jupyterlab` (if you're used to MatLabs' environment).
 * Become familiar with `numpy`, the fundamental numeric object in python, and `matplotlib`, the standard way to plot.
 * Next, wrap your data into clearer, higher-level objects with either `Pandas` or `xarray` (use `xarray` if your data has more than one dimension).