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Related lectures (24)
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Python Programming Basics
Covers the basics of Python programming, focusing on flow control structures, interactive mode, script mode, and variables.
Coq Workshop: Inductive Data Types and Proofs
Covers the definition of an inductive data type in Coq and how to build proofs interactively using tactics.
Solar Energy Potential: Switzerland
Explores estimating solar energy potential in Switzerland using GIS data analysis and Quantum GIS software.
Python Sets Operations
Covers Python sets operations, including creation, modification, and comparison, as well as set operations like union and intersection.
Functions in Python
Introduces functions in Python, covering predefined and user-defined functions, formal and effective parameters, and the importance of docstrings.
Python: Dictionaries and Tuples
Explores dictionaries, tuples, mutable objects, and variable-length arguments in Python.
Graph Algorithms II: Traversal and Paths
Explores graph traversal methods, spanning trees, and shortest paths using BFS and DFS.
Crystallography: Unit Cells, Lattices, and Reciprocal Lattice
Introduces crystallography basics, covering unit cells, lattices, and reciprocal lattice concepts.
Jupyter Notebook: Interactive Computing and Computational Narratives
Introduces Jupyter Notebook for composing interactive programs with live code and narrative text, covering installation, code cells, Markdown text, widgets, and kernel management.
Python Basics: Strings and Variables
Covers the basics of Python programming, focusing on strings and variables, with practical examples and exercises.
