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Related lectures (30)

Covers the basics of Python programming, focusing on flow control structures, interactive mode, script mode, and variables.

Explores the kinematics of 3D structures and twisted solutions in rod mechanics, including the mechanics of knots.

Covers syntax and typing rules in programming languages, discussing aliasing, mutability, and store locations.

Covers error management, exceptions, and debugging techniques in C++, emphasizing the importance of making code more robust and easier to debug.

Covers method headers, syntax, examples, and best practices for writing clear and maintainable code.

Covers the basics of using an online coding environment to write and run code.

Introduces the basics of programming with Python, emphasizing practical aspects and problem-solving skills.

Covers Python basics such as syntax, variables, and functions, introducing the Renku platform for collaborative data science.

Summarizes Scala syntax, covering types, expressions, and definitions in EBNF.

Covers the mechanics of slender structures, focusing on crane mechanics and internal loads.

Covers conditional queries and joins in GIS, explaining operators and attribute selection based on conditions.

Covers the syntax and examples of lambda functions, including parameters, types, bodies, and environments.

Covers the use of the enum keyword to define integer constants and improve code readability in programming.

Covers the 'for' loop in C++, demonstrating how to repeat instructions and avoid repetitive code.

Explores functions' complements, parameter order, and list manipulation, including counting occurrences and solving the '100 prisoners problem'.

Introduces Python programming basics using Anaconda and JupyterLab, with practical exercises on syntax and libraries.

Covers the concept of anonymous functions in MATLAB and Octave.

Covers advanced topics in Python programming, focusing on control structures and functions.

Covers Python object exercises with basic syntax questions and practical quizzes.

Covers Python object exercises and basic syntax questions, including classes, dictionaries, file operations, and functions.