Introduction to python for pharmacists - GDZPY01

• Title: Introduction to python for pharmacists
• Form of teaching: seminar
• Guaranteed by: Department of Biophysics and Physical Chemistry (16-16110)
• Faculty: Faculty of Pharmacy in Hradec Králové
• Actual: from 2023
• Duration in semesters: 1
• Semester: both
• Points: 0
• E-Credits: 0
• Examination process: oral
• Hours per week, examination: 0/1, Ex [HT]
• Capacity: winter:unknown / unknown (unknown); summer:unknown / unknown (unknown)
• Maximum number of enrolled students: unlimited
• Min. number of students: unlimited
• 4EU+: no
• Virtual mobility / capacity: no
• State of the course: taught
• Language: English
• Teaching methods: full-time
• Repeated enrollment: 1 / 1 / - / 1
• Note: course is intended for doctoral students only; course can be enrolled in outside the study plan; enabled for web enrollment; you can enroll for the course in winter and in summer semester
• Guarantor: Eugen Hruška, Ph.D.

Annotation

English

This course aims to teach the basics of the python programming language relevant in pharmaceutical settings. The focus is on practical skills connected to data loading, data processing, creation of graphs and visualizations, and common data analysis approaches.

Last update: Dršatová Dita, Mgr. (17.08.2023)

Czech

Cílem tohoto kurzu je naučit základy programovacího jazyka python, který je důležitý pro farmaceutické prostředí. Důraz je kladen na praktické dovednosti spojené s načítáním dat, jejich zpracováním, tvorbou grafů a vizualizací a běžnými přístupy k analýze dat.

Last update: Dršatová Dita, Mgr. (17.08.2023)

Course completion requirements

English

Passing the exam.

Last update: Hruška Eugen, Ph.D. (31.07.2025)

Czech

Úspěšné absolvování zkoušky.

Last update: Hruška Eugen, Ph.D. (31.07.2025)

Literature

English

Recommended:

• Nash, Jessica A. et al. MolSSI Education: Empowering the Next Generation of Computational Molecular Scientists. Computing in Science & Engineering 24.3 (2022): 72-76. https://education.molssi.org/resources.html

Last update: prepocet_literatura.php (14.08.2025)

Czech

Doporučená:

• Nash, Jessica A. et al. MolSSI Education: Empowering the Next Generation of Computational Molecular Scientists. Computing in Science & Engineering 24.3 (2022): 72-76. https://education.molssi.org/resources.html

Last update: prepocet_literatura.php (14.08.2025)

Syllabus

English

1) general principles of python, variables, functions, jupyter notebook

2) data loading with pandas

3) creating graphs with matplotlib

4) hierarchical clustering in python

5) dimension reduction with PCA in python

6) linear regression and machine learning in python

7) visualizing molecules in python

Last update: Dršatová Dita, Mgr. (17.08.2023)

Czech

1) obecné principy pythonu, proměnné, funkce, jupyter notebook
2) načítání dat pomocí pandas
3) vytváření grafů pomocí matplotlib
4) hierarchické shlukování v pythonu
5) snížení dimenze dat pomocí PCA v pythonu
6) lineární regrese a strojové učení v pythonu
7) vizualizace molekul v pythonu

Last update: Dršatová Dita, Mgr. (21.08.2023)