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Related lectures (30)
Python Modules and Functions
Covers Python libraries, modules, scoping, functions, lambdas, and practical examples.
Python Functions: Basics and Arguments
Covers the basics of writing functions in Python and working with function arguments.
Python Basics
Covers Python basics, Git, control structures, functions, file handling, and debugging using PDB.
Python Modules and Pandas
Introduces Python modules, scoping, lambdas, and pandas for data manipulation and analysis.
Functions in Python
Introduces functions in Python, covering predefined and user-defined functions, formal and effective parameters, and the importance of docstrings.
Python Crash Course
Provides a Python crash course covering basic arithmetics, complex numbers, strings, lists, dictionaries, and more.
Polynomials: Definitions and Operations
Covers the definition and operations of polynomials, including addition and multiplication, degree, coefficients, and their role in algebraic systems.
Python Programming: Control Structures and Functions
Covers advanced topics in Python programming, focusing on control structures and functions.
Untitled
Programming Fundamentals: Functions
Introduces Python programming basics, focusing on functions to enhance code efficiency.
Real Functions: Definitions and Properties
Explores real functions, covering parity, periodicity, and polynomial functions.
Mathematics: Sets and Functions
Introduces sets, functions, Cartesian products, and compositions, discussing images, preimages, and function properties.
Scopes and Lambdas: Data Science with Python
Covers scopes, lambdas, and pandas in data science with Python, including nested declarations, scoping, assignments, and pandas manipulation.
Python Complement: Numpy, Scipy, Matplotlib
Covers advanced Python topics like numpy operations, scipy linear algebra, and matplotlib for creating figures.
Python Basics: Functions and Lists
Introduces Python basics like types, functions, conditions, loops, and lists, with examples of string manipulation and list operations.
Python Object: Exercises and Syntax Basics
Covers Python object exercises and basic syntax questions, including classes, dictionaries, file operations, and functions.
Variables, Objects, Types
Introduces variables, objects, and types in Python, emphasizing the significance of object mutability and its implications when passing objects to functions.
Recursive Functions: Examples and Applications
Explores recursive functions, including factorials and Fibonacci sequences, and their scope and namespaces.
Python Basics: Syntax, Variables, Functions
Covers Python basics such as syntax, variables, and functions, introducing the Renku platform for collaborative data science.
Functions and Control Structures in Python
Introduces functions and control structures in Python, emphasizing their importance for code organization and reusability.
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