Data Science with Python

Related lectures (30)

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Explores advanced Python programming concepts, focusing on list comprehensions and higher order functions.

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

Discusses image processing techniques, focusing on seam carving and pixel manipulation in Python programming.

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

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

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

Introduces Python programming concepts, focusing on lists, functions, and their applications in problem-solving.

Introduces Python programming concepts, focusing on dictionaries and classes, including their definitions, usage, and practical examples.

Covers control flow in Python, focusing on conditional statements and loops.

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