Explain the key concepts of computational thinking, including syntax, semantics, and algorithms, and how they apply to Python programming. Use Python’s basic data types (integers, floats, strings, and booleans) and perform operations and comparisons on them.

Jan 23, 2025 · Python interpreter and interactive mode, debugging; values and types: int, float, boolean, string, and list; variables, expressions, statements, tuple assignment, precedence of operators, comments; Illustrative programs: exchange the values of two variables, circulate the values of n variables, distance between two points.

Course Objectives: Learn the syntax and semantics of Python programming language. Illustrate the process of structuring the data using lists, tuples , sets and dictionaries. Demonstrate the use of built-in functions to navigate the file system. Learn various paradigms of programming.

Fundamentals of Computing – Identification of Computational Problems-Algorithms, building blocks of algorithms (statements, state, control flow, functions), notation (pseudo code, flow chart, programming language), algorithmic problem solving, simple strategies for developing algorithms (iteration, recursion).

CHAPTER 1. Python Basics. CHAPTER 2. Variables and Basic Data Structures. CHAPTER 3. Functions. CHAPTER 4. Branching Statements. CHAPTER 5. Iteration. CHAPTER 6. Recursion. CHAPTER 7. Object Oriented Programming (OOP) CHAPTER 8. Complexity. CHAPTER 9. Representation of Numbers. CHAPTER 10. Errors, Good Programming Practices, and …

Applied Computational Thinking with Python provides a hands-on approach to implementation and associated methodologies that will have you up-and-running, and productive in no time. Developers working with Python will be able to put their knowledge to work with this practical guide using the computational thinking method for problem-solving.

Computational thinking is an approach to problem-solving that involves using a set of practices and principles from computer science to formulate a solution that’s executable by a computer.

Fundamentals of Computing - Identification of Computational Problems - Algorithms, building blocks of algorithms (statements, state, control flow, functions), notation (pseudo code, flow chart, programming language), algorithmic problem solving, simple strategies fordeveloping algorithms (iteration, recursion).

Nov 5, 2021 · The course covers elementary programming concepts (arithmetic expressions, for-loops, logical expressions, if-statements, functions, and classes) that are closely connected to mathematical/technical problems and examples, as well as mathematical manipulations and problem-solving (e.g. setting up matrices, solving linear problems, solving ...