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📘 CS50 Python – Lecture 0 Guided Walkthrough (Jupyter Lab) In this video, we continue our structured walkthrough of Harvard’s CS50 Introduction to Programming with Python — running every example interactively inside Jupyter Lab. This lecture builds deeper understanding of numbers, functions, and returning values — essential foundations for writing real Python programs. We carefully explore: 🔢 Integers (int) Understanding whole numbers in Python and how arithmetic operations work. ✨ Readability Wins Why clean, readable code is better than clever but confusing code. 🔍 Float Basics Working with decimal numbers and understanding floating-point behavior. ➕ More on Floats Precision issues, rounding, and how Python handles decimal calculations. 🧱 def How to define your own functions and structure reusable code. 🔁 Returning Values Using return to send results back from functions — a key programming concept. 🧾 Summing Up Bringing all concepts together with structured examples and improvements. This video is ideal for: • Beginners building strong fundamentals • Students following CS50 Python • Anyone wanting deeper clarity on numbers and functions • Educators looking for clean Jupyter-based demonstrations Follow along by running the examples yourself in Jupyter Lab: 👉 https://jupyter.org/try-jupyter/lab/ This is part of the full free CS50 Python guided series — subscribe to continue through all lectures step-by-step.