• Course code:63702I
  • Credits:5
  • Semester: winter
  • Contents
  1. Expressions, basic data types, variables. Working in Jupyter notebook. Program as a sequence of instructions.
  2. Files. Loops and conditional expressions
  3. Basic methods of strings.
  4. Dictionaries
  5. Lists
  6. Function definitions.
  7. Other data types in Python
  8. Advanced topics in working with strings and files
  9. List, set and dict comprehension, generators.
  10. Numpy library
  11. Matplotlib library
  12. Reading and writing of several common formats like json, xml, pickle, xlsx.
  13. Reading unstructured data (regular expressions HTML)
  14. Additional topics
  • Study programmes
  • Distribution of hours per semester
45
hours
lectures
30
hours
laboratory work
  • Professor
Instructor
Room:R3.18 - Kabinet
Teaching Assistant
Room:R2.33 - Laboratorij LRV