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Python Crash Course
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Related lectures (43)
Functions in Python
Introduces functions in Python, covering predefined and user-defined functions, formal and effective parameters, and the importance of docstrings.
Dictionary Operations
Covers operations and methods related to dictionaries in Python, including creating, updating, and handling key errors.
R Programming: Conditions, Loops, Functions & Graphics
Covers conditions, loops, functions, and graphics in R programming with practical examples.
Python Programming: Control Structures and Functions
Covers advanced topics in Python programming, focusing on control structures and functions.
Python Functions: Basics and Arguments
Covers the basics of writing functions in Python and working with function arguments.
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.
Programming Fundamentals: Functions
Introduces Python programming basics, focusing on functions to enhance code efficiency.
MATLAB Essentials: Functions and Variables
Covers essential MATLAB functions, variables, loops, and debugging tools.
Modules and Namespaces
Explores Python modules, program hierarchy, module importing, and namespaces, including variables and scopes within functions.
Real Numbers and Functions
Introduces Real Analysis I, covering real numbers, functions, limits, derivatives, and integrals.
Isomorphism Criterion of Coverings
Covers the isomorphism of coverings and the lifting theory.
Harmonic Forms: Main Theorem
Explores harmonic forms on Riemann surfaces and the uniqueness of solutions to harmonic equations.
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
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Covers Python object exercises and basic syntax questions, including classes, dictionaries, file operations, and functions.
Matlab 2: Vectorisation and Functions
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Covers vectorisation, functions, and flow control in Matlab, emphasizing the importance of avoiding global variables and providing examples of simple plots and debugging techniques.
File Management and Exception Handling in Python
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Focuses on file management and exception handling in Python programming.
Untitled
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Analysis I: Functions of a Variable
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Introduces fundamental concepts of Analysis I, focusing on functions of a variable and numerical sequences.
Python Basics
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Covers Python basics, Git, control structures, functions, file handling, and debugging using PDB.
Complex Numbers: Convergence, Equations, and Exponential Functions
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Covers convergence of power series, complex equations, exponential functions, and function properties.
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