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Python Crash Course
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Related lectures (43)
Probability and Statistics
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Covers mathematical concepts from number theory to probability and statistics.
Python Programming: List Comprehensions and Higher Order Functions
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Explores advanced Python programming concepts, focusing on list comprehensions and higher order functions.
Python Basics: Syntax, Variables, Functions
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Covers Python basics such as syntax, variables, and functions, introducing the Renku platform for collaborative data science.
Complex Numbers: Operations and Polar Form
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Explores complex numbers, operations, absolute value, and polar form, along with the analysis and graphic representation of complex numbers.
Data Structures and Functions
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Covers the basics of tuples, lists, sets, linear types, conversions, dictionaries, and defaultdicts.
Python Complement: Numpy, Scipy, Matplotlib
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Covers advanced Python topics like numpy operations, scipy linear algebra, and matplotlib for creating figures.
Python Programming: Lists and Functions Overview
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Introduces Python programming concepts, focusing on lists, functions, and their applications in problem-solving.
Control Structures; Functions
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Covers control structures, loops, and functions in C language, emphasizing the importance of local variables and avoiding global variables.
Python Modules and Functions
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Covers Python libraries, modules, scoping, functions, lambdas, and practical examples.
Wave Equation and Laplacian
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Explores the wave equation, Laplacian properties, and non-dependent functions in neighborhoods.
Real Functions: Definitions and Properties
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Explores real functions, covering parity, periodicity, and polynomial functions.
Derivability and Composition
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Covers derivability conditions, function composition, Jacobian matrix, and chain derivation.
Differential Equations: Solutions and Functions
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Explores solutions of differential equations and properties of functions.
Geometric Computing: Exam Practice
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Covers exam practice questions on geometric computing topics like 2D shapes, functions, barycentric coordinates, and Laplace Operator.
Convergence Criteria: Series & Functions
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Explores convergence criteria for series and functions, including the squeeze theorem and D'Alembert's criterion.
Image of Composite Functions
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Analyzes the image sets of composite functions on [1, +∞], deducing the final image set as [√2/2, 1) closed left, open right.
Introduction to C: Arrays and Functions
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Covers the basics of C programming, focusing on arrays and functions, including 1D and 2D arrays, string operations, dynamic memory allocation, and reading files.
Linear Maps and the Duality Principle in Mathematics
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Covers the duality principle in linear algebra and its implications in mathematics.
Query Operators Part 2
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Covers query processing with relational operations, focusing on different join methods and the impact of buffering.
Spectroscopy Basics
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Covers the fundamentals of spectroscopy, including light sources, sample analysis, and energy levels.
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