In Part 2 of the Python Masterclass Series, we dive into the engine room of programming: Numerical Data Types. Whether you are building high-frequency trading bots or simple automation scripts, understanding how Python handles Integers and Floats is non-negotiable for any aspiring Software Engineer. [What You’ll Learn] The technical difference between int and float (and why it matters for memory). Arithmetic Operators: Beyond the basics (+, -, *, /). Understanding Floor Division (//) and the Modulo Operator (%). [Timestamps] 0:00 - Numbers in Python: The Fintech Foundation 2:30 - Integers vs. Floats: Precision & Scale 7:15 - Basic Arithmetic: Building a Calculator 12:40 - The Modulo Operator: Real-World Use Cases 18:10 - Floating Point Math Errors (The 0.1 + 0.2 Problem) 24:30 - The Power Move: Augmented Assignment Operators Python Integers and Floats, Python Math Tutorial, Python Operators, Learn Python Part 2, Python Programming for Beginners. Fintech Development, Quantitative Analysis Python, Computational Mathematics, Python for Finance, Data Engineering Basics, Python Coding Interview, Algorithmic Logic.

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