SubjectsSubjects(version: 954)
Course, academic year 2023/2024
  
Applied Programming - AM143016
Title: Applied Programming
Guaranteed by: Department of Informatics and Chemistry (143)
Faculty: Faculty of Chemical Technology
Actual: from 2023 to 2023
Semester: summer
Points: summer s.:5
E-Credits: summer s.:5
Examination process: summer s.:
Hours per week, examination: summer s.:2/2, C+Ex [HT]
Capacity: unknown / unknown (unknown)
Min. number of students: unlimited
State of the course: taught
Language: English
Teaching methods: full-time
Teaching methods: full-time
Level:  
Guarantor: Znamenáček Jiří Ing.
Interchangeability : N143037
Annotation -
Second part of the introductional programming course. Students will learn how to apply Python to practical problems (databases, their web interfaces, text search, graphing, structured data processing...) and other necessary techniques (versioning systems...).
Last update: Znamenáček Jiří (14.12.2023)
Aim of the course -

Students will be able to:

Know the more advanced features of Python and its standard library.

Know the basics of working with distributed version control systems (Mercurial, git).

Understand the basics of database systems.

Understand the basics of data communication over the Internet.

Process the most common structured data.

Last update: Znamenáček Jiří (14.12.2023)
Literature -

R: Necaise, Rance D.: "Data Structures and Algorithms Using Python". John Wiley & Sons, 2011. ISBN 978-0-470-61829-5

R: Oppel, Andrew J.: "Databases Demystified". McGraw-Hill/Osborne, 2004. ISBN 007-225364-9

R: Töpfer, Pavel: "Algoritmy a programovací techniky". Prometheus, Praha 2010 (1995). ISBN 978-80-7196-350-9

A: Brown, Tiffany B.; Butters, Kerry; Panda, Sandeep: "Jump Start HTML5". Sitepoint, 2014. ISBN 978-0980285826

A: Scott, Michael L.: "Programming Language Pragmatics". Morgan Kaufmann, 2009. ISBN 978-0123745149

A: Aho, Alfred V.; Lam, Monica S.; Sethi, Ravi; Ullman, Jeffrey D.: "Compilers -- Principles, Techniques, & Tools (Second Edition)". Pearson Education, 2007. ISBN 978-0321486813

A: Matoušek, Jiří; Nešetřil, Jaroslav: "Kapitoly z diskrétní matematiky". Karolinum, Praha 2010. ISBN 978-80-2461-740-4

Last update: Znamenáček Jiří (14.12.2023)
Learning resources -

https://Python.org

https://DiveIntoPython3.net (Czech translation at http://DiveIntoPython3.py.cz)

https://Conda.io

https://SQLite.org

https://Jupyter.org

https://Matplotlib.org

https://NumPy.org

https://pandas.PyData.org

Last update: Znamenáček Jiří (14.12.2023)
Requirements to the exam - Czech

Zápočet -- body za domácí úkoly

Zkouška -- praktická, komplexnější série programovacích úkolů

Při praktické části je povoleno používat libovolné zdroje.

Last update: Znamenáček Jiří (14.12.2023)
Syllabus -

1. distributed version control systems (git)

2. documentation tests and unit tests

3. working with text using regexp

4. practical usage of Python classes

5. working in Conda

6. database systems and SQL language

7. SQLite database, application of ORM

8. basics of HTTP and HTML5 web technologies

9. project (database)

10. working in the Jupyter Notebook environment

11. Matplotlib -- drawing graphs

12. Numpy -- multidimensional data

13. Pandas -- basics of data processing

14. project (data processing)

Last update: Znamenáček Jiří (14.12.2023)
Registration requirements -

Fundamentals of Programming (or similar introductory programming course; at least basic knowledge of Python programming language is expected)

Last update: Znamenáček Jiří (27.02.2024)
 
VŠCHT Praha