CCMAR's advance training "Python for Life Science", with two separate modules:
Introduction to programming using python with an objective to optimize the learning towards data manipulation and data analysis.
Day1:
- Algorithmic thinking
- Introduction to Jupyter notebooks
- Variables
- Data types
Day2:
- Data structures
- Conditionals
- Operators
- Loops
- Functions
Day3:
- Modules
- Object oriented programming
- Scripting
- Pandas
- Seaborn
Tutorials are limited and are based on the needs of the participants in this particular edition of the course.
Day1:
- More Pandas
- Exploratory analysis
- Visualization with Seaborn
- Own data work
Day2:
- Own data work
Inspiration and structure how to create great open-source course has been taken from Neuromatch academy, which DP experienced in person.
Each tutorial can be opened in binder or colab if you navigate through the folders. Solution to exercises can be found in separate NB in tutorials/solutions_all.ipynb.