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Data Science with Python
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Related lectures (56)
Programming Basics: Control Structures and Functions
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Introduces fundamental programming concepts in Python, focusing on control structures like conditions and loops.
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 Crash Course
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Provides a Python crash course covering basic arithmetics, complex numbers, strings, lists, dictionaries, and more.
Introduction to C Programming
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Introduces fundamental C programming concepts, covering variables, control structures, functions, and pointers, with practical examples and exercises.
Introduction to C Programming
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Covers the basics of C programming, including syntax, data types, pointers, arrays, and compilation commands.
Introduction to C Programming: Basics and Compilation
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Covers the basics of C programming, including syntax, structure, and compilation processes.
Functions and Control Structures in Python
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Introduces functions and control structures in Python, emphasizing their importance for code organization and reusability.
Introduction to Matplotlib
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Introduces matplotlib for 2D graphic representation and data visualization with numpy.
Introduction to NumPy: Basics of Scientific Computing
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Introduces NumPy, focusing on array creation, manipulation, and its advantages for scientific computing.
Advanced Analysis II: Functions in R²
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Explores functions in R² with sets where x² + y² ≤ 1.
Functions in R²: Definitions and Examples
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Introduces functions in R² with examples and graphical techniques, illustrated by Peter Wittwer.
Mathematica Tutorial: Graphics and Functions
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Introduces Mathematica basics, including graphics creation, list manipulation, and function definition.
C++ Programming: Structures and Typedef
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Covers the fundamental concepts of C++ programming, focusing on structures, typedef, and data processing.
Entropy and the Second Law of Thermodynamics
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Covers entropy, its definition, and its implications in thermodynamics.
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.
Analysis I: Intermediate Value Theorem
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Covers the Intermediate Value Theorem, functions' properties, continuity, finding roots, and differentiation concepts.
Matlab Programming: Script and Function
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Explores Matlab programming with scripts and functions, vectorization, and 2D graphics.
Advanced Analysis II: Examples and Representations
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Explores advanced analysis topics through examples and graphical representations of functions.
Equidistribution of CM Points
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Covers the joint equidistribution of CM points and explores convergence in multiple variables.
Limits: More about Functions and Sequences
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Covers advanced topics related to limits and sequences.
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