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+---
+layout: home
+title: List copying in Python
+---
+
+For those curious about Lists in Python, here are some interesting ideas I've come across while exploring alternative ways to copy lists. Link to code: https://github.com/ibaddesmukh/python-notes/blob/main/list-copy.ipynb
+
+Using the assignment operator: When a list is copied using the assignment operator i.e. "a=b", the copied list only contains a reference to the memory address of the original list object. Therefore, changing the original list object, changes the output of printing the copied list as well.
+
+Shallow copy using list slicing: If you do not want a change in the original list to be reflected in the copied list, a shallow copy of the original list can be created through list slicing using the "copy_list=orig_list[:]" statement. This creates a real copy of all the top-level elements of the original list and saves them in a list in a new memory address. Therefore, changing the top-level elements of the original list object does not change the output of printing the copied list. However, if the original list contains another list that is nested inside it, a change in an element of the nested list in the original list will be reflected as a change in an element of the nested list in the copied list. This is because the nested list in the copied list is only a reference to the memory address of the nested list in the original list. This is why it's called a "shallow copy".
+
+Deep copying using copy.deepcopy() function: If you do not want a change in the nested list of the original list to be reflected in the copied list, a deep copy of the original list can be created using "copy_list = copy.deepcopy(orig_list)" statement. This function iterates through all elements in the original list, including all its nested lists, creates a real copy and saves it in a new memory address. This is why it's called a "deep copy".
diff --git a/index.md b/index.md
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+++ b/index.md
@@ -16,14 +16,6 @@ Queen Mary University of London (September 2023 - September 2024 expected)
 
 Courses: Computer Architecture and Networks, Computer Programming, Software Engineering, Database Systems, Interactive System Design, Data Analytics, Security and Authentication, Risk and Decision Making for Data Science and AI
 
-# skills
-
-- Programming Languages: Python, HTML, CSS, JavaScript, React, SQL
-- Web Development: HTML, CSS, JavaScript, React
-- Databases: SQL
-- Design Tools: Figma
-- Version Control: Git
-
 # projects
 
 ## User Interface Design and Prototyping
@@ -37,3 +29,8 @@ Design and implementation of a database for a college library using SQL.
 
 ## Corporate Financial Risk Level Prediction
 Predicted corporate financial risk levels using historical financial data with Decision Tree and K-Nearest Neighbors Classification algorithms.
+
+# writings
+
+### [Different ways to copy lists in Python](article-1.md)
+For those curious about Lists in Python, here are some interesting ideas I've come across while exploring alternative ways to copy lists.