| Area of Mathematics: | Computational and Applied Mathematics (ECAM) |
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| Semester: | 2o | ||
| Course ID: | 22401 | ||
| Course Type: | Elective | ||
| Teaching hours per week: | Theory: 3 | Practice: 0 | Laboratory: 1 |
| ECTS : | 5 | ||
| Eclass: | For the course’s material, click here. | ||
| Instructors: | Spiros Georgakopoulos | ||
Description
Python programming language for fundamental algorithms implementation and problems solving. Introduction to object-oriented programming.
- Errors and Exceptions
- Fundamental algorithms implemented in python (linear search, binary search, bisection algorithm, divide and conquer algorithm, etc.)
- Sorting of lists
- Object-oriented programming: Introduction on classes, objects constructors, methods, inheritance
- Numpy library with examples: vectors and matrix manipulation, solving systems and linear equations. 2D and 3D plots with pylab, histograms and random numbers.
In laboratory will be carried out exercises and code hands-on in order to consolidate what has been taught in theory.
Bibliography
- John V Guttag, “Introduction to Computation and Programming Using Python: With Applications to Computational Modeling and Understanding Data‘‘, Third Edition, MIT Press, 2021
- Mark Lutz, Programming Python: Powerful Object-Oriented Programming, O’ Reilly Media, ISBN-13 978-059615810
- Zed Shaw, Learn Python 3 the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code ISBN-13 978-0134692883
