Lecture

Introduction to Programming with Python

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

Covers the basics of programming with Python, emphasizing practical exercises and self-learning resources.

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.

Covers the basics of C programming, including syntax, data types, pointers, arrays, and compilation commands.

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

Covers Python basics, Pandas, data manipulation, visualization, and machine learning.

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.

Introduces Python modules, scoping, lambdas, and pandas for data manipulation and analysis.

Covers the computation of Economy-Wide Material Flow Analysis for Switzerland using EXIOBASE 3.

Covers Python basics, Git, control structures, functions, file handling, and debugging using PDB.

Covers the basics of programming in Python, focusing on practical skills and hands-on exercises.

Covers the vocabulary and syntax for Object-Oriented Programming with Python, including classes, objects, and namespaces.

Explores file handling and exceptions in Python programming, covering reading, writing, and error handling strategies.

Explores volume calculation for spheres, function definition, and loop logic.

Covers algorithmic thinking, Python programming, numerical methods, and essential computing concepts for scientific computing.

Introduces string formatting in Python, covering f-strings, precision, alignment, and common formatting types.

Introduces functions and control structures in Python, emphasizing their importance for code organization and reusability.