Course detail

Scripting Languages

FIT-ISJAcad. year: 2020/2021

Basic concepts: scripts and scripting, scripting versus programming, an overview of scripting languages, macro languages, scriptable objects and components are, basics of Python, Unix system hacking, object-oriented programming in scripting languages, concurrency and parallelism.

Supervisor

doc. RNDr. Pavel Smrž, Ph.D.

Department

Department of Computer Graphics and Multimedia (UPGM)

Learning outcomes of the course unit

Students will get acquainted with modern scripting languages, having successfully completed the course, students will be able to demonstrate knowledge and understanding of the nature of scripting and the role of scripting languages, the syntax and semantics of Python, write simple scripts to automate system administration tasks using appropriate languages and rapidly develop simple applications using appropriate tools.
The students will learn to solve problems in Python through regular projects. They will also improve their programming skills and their knowledge of modern development tools.

Prerequisites

Not applicable.

Co-requisites

Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

Harms, D., Macdonald, K.: Začínáme programovat v jazyce Python. Computer Press, ISBN 80-7226-799-X.
Harms, D., Macdonald, K.: Začínáme programovat v jazyce Python. Computer Press, ISBN 80-7226-799-X (in Czech).
Lutz, M., Ascher, D.: Naučte se Python - Pohotová příručka. Grada, 2003, ISBN 80-247-0367-X.
Lutz, M., Ascher, D.: Naučte se Python - Pohotová příručka. Grada, 2003, ISBN 80-247-0367-X (in Czech).
Driscoll, M: Python 201: Intermediate Python. Amazon Digital Services LLC, ASIN: B01LMUAYSO, 2016.
Beazley, D.M.: Python - Podrobná referenční příručka pro programovací jazyk Python. Neocortex (in Czech).
Beazley, D.M.: Python - Podrobná referenční příručka pro programovací jazyk Python. Neocortex.
Abelson, H.: Structure and interpretation of computer programs, Cambridge. MIT Press, 2002.
Abelson, H.: Structure and interpretation of computer programs, Cambridge. MIT Press, 2002.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

  • Mid-term test - up to 9 points.
  • Individual projects - up to 8 x 5 points.

Exam prerequisites:

Language of instruction

Czech, English

Work placements

Not applicable.

Aims

To examine the topic of scripting languages and their applications. To understand the complementarity of the class of languages to systems languages, their strengths and weaknesses. To conceive basics of regular expressions, using appropriate data structures and approaches primarily in Python (and partially Ruby and others).

Specification of controlled education, way of implementation and compensation for absences

The evaluation includes a mid-term test and an individual project. The mid-term test does not have a correction option.

Classification of course in study plans

  • Programme IT-BC-3 Bachelor's

    branch BIT , 1. year of study, summer semester, 5 credits, elective

  • Programme BIT Bachelor's, 1. year of study, summer semester, 5 credits, elective
  • Programme BAK-MIn Bachelor's, 2. year of study, summer semester, 5 credits, elective

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

Ing. Martin Fajčík
doc. RNDr. Pavel Smrž, Ph.D.

Syllabus

  1. Introduction, a brief history of scripting languages, pros and cons, comparison of languages
  2. Regular expressions and their support in scripting languages
  3. Simple scripting for OS Unix, automating system administration
  4. Names in Python, basic data structures and their implementation
  5. Dictionary (hash structure) and its implementation in Python
  6. Functions and their arguments, modules, exception handling
  7. Object-oriented programming  in scripting languages
  8. Advanced concepts of object-oriented programming in Python, multiple inheritance and method resolution order
  9. Ruby basics through comparison with Python
  10. Function and class decorators
  11. Iteration protocol and iterables
  12. Generators and their use in functions
  13. Concurrency and parallelism

Project

26 hours, compulsory

Teacher / Lecturer

doc. RNDr. Pavel Smrž, Ph.D.

Syllabus

Projects consist of general problems to be solved, mostly by writing small scripts in Python. Electronic submission of assignments are required using IS FIT.

Instead of one or a few large projects, 8 mini-projects are assigned in the course, i.e. from the 3rd lecture almost every week. There is a server that automatically evaluates projects before the official submission via WIS, so you can find out in advance how many points will be for the current solution. The midterm test and exam are directly linked to the topics you will try within the projects.