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Lecture
Structured Data Representation
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Related lectures (28)
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Functions: Reusability and Error Reduction
Covers functions in C programming, emphasizing reusability and error reduction through proper function structure.
Introduction to C: Arrays and Functions
Covers the basics of C programming, focusing on arrays and functions, including 1D and 2D arrays, string operations, dynamic memory allocation, and reading files.
NumPy Arrays and Graphical Representations: Introduction
Covers NumPy arrays and their graphical representations using Matplotlib, focusing on array creation, manipulation, and visualization techniques.
MATLAB: Crash Course in MATLAB
Offers a crash course in MATLAB, covering data representation, array indexing, mathematical operations, and common pitfalls.
Excel Upgrade: Advanced Functions and Data Analysis
Covers advanced Excel functions and data analysis techniques, including automatic recording and using Solver.
Functions and Lists: Complements and Manipulation
Explores functions' complements, parameter order, and list manipulation, including counting occurrences and solving the '100 prisoners problem'.
Introduction to Arrays
Covers the introduction to arrays in C++, including their use, limitations, and solutions.
Dynamic Arrays: Initialization, Access, and Functions
Explores dynamic arrays in C++, covering initialization, access, functions, and practical applications like temperature data analysis.
Python Programming: Lists and Functions Overview
Introduces Python programming concepts, focusing on lists, functions, and their applications in problem-solving.
Functions and Periodicity
Covers functions, including even and odd functions, periodicity, and function operations.
