1. SylabUZ
2. Wydział Nauk Inżynieryjno-Technicznych
3. semestr zimowy 2024/2025
4. Informatyka - Program Erasmus pierwszego stopnia
5. Scripting languages

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Scripting languages - opis przedmiotu

Cel przedmiotu

• To familiarize students with scripting languages (in particular, Python)
• Developing skills in the practical application of scripting languages
• Developing skills in using ready-made libraries and frameworksw

Wymagania wstępne

Zapisz zmiany

• The basics of programming
• Object-oriented programming

Zakres tematyczny

• the scripting and interpreted languages paradigm
• differences between interpreted and compiled languages (on the example of Python and C ++)
• the use of scripting languages to create websites
• using scripting languages in creating modern software
• use of scripting languages for intelligent calculations

Metody kształcenia

• lecture: conventional lecture, conversatory lecture
• laboratory: lab exercises, group work, programming in pairs,

Efekty uczenia się i metody weryfikacji osiągania efektów uczenia się

Opis efektu	Symbole efektów	Metody weryfikacji	Forma zajęć

Warunki zaliczenia

Lecture - the condition of passing is obtaining a positive grade from the exam

Laboratory - the condition for passing is obtaining positive grades from all laboratory exercises, planned to be implemented under the laboratory program

Components of the final grade = lecture: 50% + laboratory: 50%

Literatura podstawowa

1. Learning Python: Powerful Object-Oriented Programming, Mark Lutz, "O'Reilly Media, Inc.", 2013, 9781449355692
2. Python Crash Course: A Hands-On, Project-Based Introduction to Programming, Eric Matthes, No Starch Press, 2015, ISBN: 9781593276034
3. Deep Learning with TensorFlow: Explore neural networks and build intelligent systems with Python, 2nd Edition, Giancarlo Zaccone, Md. Rezaul Karim, Packt Publishing Ltd, 2018, ISBN: 9781788831833
4. Beginning Django: Web Application Development and Deployment with Python, Daniel Rubio,  Apress, 2017 ISBN: 978148422787
5. Practical Python Design Patterns: Pythonic Solutions to Common Problems, Wessel Badenhorst, Apress, 2017, ISBN: 9781484226803

Literatura uzupełniająca

1. Python Cookbook, Alex Martelli, Anna Ravenscroft, David Ascher,  "O'Reilly Media, Inc.", 2005, ISBN:  9780596554743
2. Practical Django 2 and Channels 2: Building Projects and Applications with Real-Time Capabilities, Federico Marani, Apress, 2018, ISBN: 9781484240991
3. Pro Python 3: Features and Tools for Professional Development, J. Burton Browning, Marty Alchin, Apress, 2019, ISBN: 9781484243855
4. Fluent Python: Clear, Concise, and Effective Programming, Luciano Ramalho, "O'Reilly Media, Inc.", 2015, ISBN: 9781491946251
5. Python Continuous Integration and Delivery: A Concise Guide with Examples, Moritz Lenz, Apress, 2018,9781484242810
6. Clean Architecture: A Craftsman's Guide to Software Structure and Design, Martin, Robert C, Prentice Hall, 2018, 9780134494166
7. Clean Python: Elegant Coding in Python, Sunil Kapil, Apress, 2019, ISBN: 9781484248782
8. Effective Python: 59 Specific Ways to Write Better Python, Brett Slatkin, Addison-Wesley Professional, 2015, ISBN: 9780134034409
9. Scripting Languages: Automating the Web, Rohit Khare, O'Reilly, 1997, ISBN: 9781565922655
10. Software Architecture: A Comprehensive Framework and Guide for Practitioners, Oliver Vogel, Ingo Arnold, Arif Chughtai, Timo Kehrer, Springer Science & Business Media, 2011, ISBN: 9783642197369

Uwagi

Zmodyfikowane przez prof. dr hab. inż. Krzysztof Patan (ostatnia modyfikacja: 09-04-2024 17:57)