Added newton-raphson material and inclused recursive vs iterative approaches

1 files changed, 15 insertions, 2 deletions

diff --git a/tutorials/module_1/control_structures.md b/tutorials/module_1/control_structures.md
index 0a0abc6..68db0c5 100644
--- a/tutorials/module_1/control_structures.md
+++ b/tutorials/module_1/control_structures.md
@@ -4,10 +4,13 @@
 
 Control structures allow us to control the flow of execution in a Python program. The two main types are **conditional statements (`if` statements)** and **loops (`for` and `while` loops)**.
 
+[Input complete flowchart here]
 ## Conditional Statements
 
 Conditional statements allow a program to execute different blocks of code depending on whether a given condition is `True` or `False`. These conditions are typically comparisons, such as checking if one number is greater than another.
 
+[Image of a conditional statement]
+
 ### The `if` Statement
 
 The simplest form of a conditional statement is the `if` statement. If the condition evaluates to `True`, the indented block of code runs. Otherwise, the program moves on without executing the statement.
@@ -55,7 +58,7 @@ if 0 <= score <= 100:
         if retake_eligible == "yes":
             print("The student is eligible for a retest.")
         else:
-            print("The student has failed the course and must retake it next semester.")
+            print1("The student has failed the course and must retake it next semester.")
 
 	
 ```
@@ -65,6 +68,8 @@ if 0 <= score <= 100:
 
 Loops allow a program to execute a block of code multiple times. This is especially useful for tasks such as processing lists of data, performing repetitive calculations, or automating tasks.
 
+[Input image of flowchart loop here]
+
 ### The `for` Loop
 
 A `for` loop iterates over a sequence, such as a list, tuple, string, or a range of numbers. Each iteration assigns the next value in the sequence to a loop variable, which can then be used inside the loop.
@@ -104,7 +109,7 @@ while i < 6:
   i += 1
 ```
 
-## Loop Control Statements
+### Loop Control Statements
 
 Python provides special statements to control the behavior of loops. These can be used to break out of a loop, skip certain iterations, or simply include a placeholder for future code.
 
@@ -125,3 +130,11 @@ For example, if we are iterating over numbers and want to skip processing number
 The `pass` statement is a placeholder that does nothing. It is useful when a block of code is syntactically required but no action needs to be performed yet.
 
 For example, in a loop where a condition has not yet been implemented, using `pass` ensures that the code remains valid while avoiding errors.
+
+## Recursion vs. Iteration
+In computer logic it is possible for a function to call itself, this is called *recursion*.
+
+> The power of recursion evidently lies in the possibility of defining an infinite set of objects by a finite statement. In the same manner, an infinite number of computations can be described by a finite recursive program, even if this program contains no explicit repetitions.
+				— [Niklaus Wirth](https://en.wikipedia.org/wiki/Niklaus_Wirth "Niklaus Wirth"), _Algorithms + Data Structures = Programs_, 1976
+
+Whilst they are similar, computationally they differ.