Covers the basics of Numpy, including importing the library, creating arrays, and performing linear algebra operations.
Covers the basics of C programming, focusing on arrays and functions, including 1D and 2D arrays, string operations, dynamic memory allocation, and reading files.
Introduces Python basics and NumPy for scientific computing, covering data types, functions, arrays, indexing, and common operations.
Introduces the fundamentals of vectors in C++, covering initialization, direct access, range-for loop, and specific functions.
Introduces structures in MATLAB and GNU Octave, covering arrays, cell arrays, and maps.
Introduces parallel scan left in Scala, covering its properties, sequential solutions, and efficient parallel computation techniques.
Covers unit testing with JUnit for array methods, including testing minimum elements, handling exceptions, calculating averages, and sorting arrays.
