Python Foundations in Programming
Introduction
Welcome to Princeton IntroCS Inspired Python Foundations in Programming. This beginner-friendly series teaches Python step by step using hands-on examples in Jupyter and VS Code. You do not need any prior programming experience.
This series is inspired by the topic sequence in the Princeton University IntroCS Python course (free online), and I’ll use it as a roadmap while explaining everything in my own words with my own examples and code. Throughout the lessons, we will also walk through selected examples from the official course website to see how these programming building blocks are used in real programs.
For reference: https://introcs.cs.princeton.edu/python/home/
Note: This is an independent educational series and is not affiliated with Princeton University.
What is programming?
Programming is the process of writing instructions that tell a computer what to do. We write these instructions using a programming language. In this course, we use Python.
Other popular languages include C, C++, and Java. We start with Python because it is readable, widely used, and beginner-friendly.
Python overview
Python can be used to build many kinds of applications, including:
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data analysis and data science
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automation scripts (saving time on repetitive work)
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web applications
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scientific computing
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simple games and tools
A useful way to think about Python is: it’s a flexible tool that works well in many situations—especially for learning and for building practical projects quickly.
What can you do with it?
By the end of this series, you’ll be able to:
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write small Python programs confidently
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use variables, data types, and basic input/output
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control program flow with
if, loops, and functions -
work with strings and lists
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solve beginner-friendly exercises by yourself
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run and experiment with code in Jupyter
How does Python compare to other languages?
Python is often easier to read than languages like C++ or Java, which is why it’s popular for beginners. It may not be the fastest language for every task, but it’s one of the fastest for learning and for building useful programs quickly.
What will you learn?
This course focuses on fundamentals—the core concepts you need before moving on to more advanced topics like data science, web development, or machine learning.
Each lesson is practical:
✅ you’ll learn a concept
✅ you’ll write code in Jupyter and VS Code
✅ you’ll practice with a short exercise
