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Related lectures (12)
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Python Lists Manipulation
Covers exercises on creating, manipulating, and modifying Python lists.
Python Basics: Functions and Lists
Introduces Python basics, functions, lists, and lambda functions for concise coding.
Compiler Extension Lab
Covers the Compiler Extension Lab, focusing on adding new functionality to a simple functional language compiler.
Python Basics: Functions and Types
Covers Python basics, including data types, loops, functions, classes, and GUI creation.
Data Structures and Functions
Covers the basics of tuples, lists, sets, linear types, conversions, dictionaries, and defaultdicts.
Python Programming: List Comprehensions and Higher Order Functions
Explores advanced Python programming concepts, focusing on list comprehensions and higher order functions.
Programming Paradigms: Functional, OOP, Polymorphism
Explores programming paradigms like procedural, functional, and OOP, with examples in Python.
Data Structures: Tuples, Lists, Sets, Dicts
Introduces Python data structures like tuples, lists, sets, and dictionaries, emphasizing manipulation and conversion techniques.
Python/NumPy Primer
Introduces Python basics and NumPy for scientific computing, covering data types, functions, arrays, indexing, and common operations.
General Introduction to Data Science
Offers a comprehensive introduction to Data Science, covering Python, Numpy, Pandas, Matplotlib, and Scikit-learn, with a focus on practical exercises and collaborative work.
Understanding and Modifying Programs
Covers understanding and modifying programs to prevent unwanted output.
Python: Dictionaries and Tuples
Explores dictionaries, tuples, mutable objects, and variable-length arguments in Python.
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