All atlases/Python Programming: From First Principles to Practical Applications

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Python Programming: From First Principles to Practical Applications

A comprehensive introduction to Python programming that emphasizes computational thinking, problem-solving, and practical applications. This course follows John Guttag's canonical textbook to build a solid foundation in Python fundamentals, data structures, algorithms, and object-oriented programming. Students will learn to write clear, robust, and efficient code while developing the skills to tackle real-world programming challenges.

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Next: Objects, Types, and Variables

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Getting Started with Python and Computational Thinking

Recommended next1. Objects, Types, and Variables

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current pathprerequisite
Objects, Types, and Variables appears earlier in the syllabus and supports Numeric Operations and Expressions.Numeric Operations and Expressions appears earlier in the syllabus and supports Conditional Statements and Boolean Logic.Conditional Statements and Boolean Logic appears earlier in the syllabus and supports For Loops and the Range Function.For Loops and the Range Function appears earlier in the syllabus and supports Function Definition and Parameters.Function Definition and Parameters appears earlier in the syllabus and supports List Operations and Methods.List Operations and Methods appears earlier in the syllabus and supports Dictionary Fundamentals and Operations.Dictionary Fundamentals and Operations appears earlier in the syllabus and supports Exception Handling and Assertions.Exception Handling and Assertions appears earlier in the syllabus and supports Classes and Object Creation.Classes and Object Creation appears earlier in the syllabus and supports Algorithm Complexity and Big-O Notation.prerequisite

prerequisite relationship

Objects, Types, and Variables -> Numeric Operations and Expressions

Objects, Types, and Variables appears earlier in the syllabus and supports Numeric Operations and Expressions.

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Objects, Types, and Variables

Explore Python's object model and learn about different data types including integers, floats, strings, and booleans.

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Objects, Types, and Variables: the core idea

Explore Python's object model and learn about different data types including integers, floats, strings, and booleans. The key thing to notice is: Everything is an object: id(), type(), and memory address. A useful example is Netflix recommendation engine: user_id variable re-bound from string to int when migrating databases. Do not treat this as a vocabulary item; the point is to use it to reason about a new situation.

Where would Objects, Types, and Variables show up in an everyday decision or news headline?

Look for the hidden relationship in the example: Netflix recommendation engine: user_id variable re-bound from string to int when migrating databases.

Objects, Types, and Variables: the core idea