Introduction to Programming with Python

Related lectures (29)

Page 2 of 3

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.