Fix links for basics

docs/basics/index.md

@@ -3,21 +3,17 @@
 There are a ton of resources to learn the basics of Python and I cannot necessarily write better ones.
 Here are some options I recommend—in decreasing order—along with what sections will be relevant for this course.
 
--   [Software Carpentry](https://software-carpentry.org/lessons/)
 -   [kaggle learn](https://www.kaggle.com/learn/): "Intro to Programming", "Intro to Machine Learning", "Python", and "Pandas" courses.
+-   [Software Carpentry](https://software-carpentry.org/lessons/)
 -   [learnpython.org](https://www.learnpython.org/): "Learn the Basics" and "Data Science Tutorials".
 -   [Google's Python Class](https://developers.google.com/edu/python): Everything.
--   [Byte of Python](https://python.oasci.org/external/byte-of-python/): Everything
+-   [Byte of Python](../external/byte-of-python/): Everything
 
 I am a huge fan of the [Real Python](https://realpython.com/) website; it is my go-to place for learning more about Python.
 
-## Computers are dumb
-
-One common misconception is that computers are "smart"; quite the contrary.
-Computers perform only the exact instructions that programmers tell them.
-If you leave something out or have a simple typo, then the computer will panic and not know what to do.
-Keep this in mind when you are on your programming journey.
-
-## 🎯 Learning objectives
+!!! note "Computers are precise but not intuitive"
 
-TODO:
+    A common misconception is that computers are "smart." In reality, computers are incredibly precise but lack intuition.
+    They only execute the exact instructions provided by programmers.
+    If you omit a detail or make a simple typo, the computer will encounter an error and stop.
+    Remember this as you embark on your programming journey: clarity and precision are key to effective coding.