This Software Carpentry workshop will introduce the building blocks of the Python scripting environment. Participants will start by exploring the command-line interface and basic programming concepts using Unix, before moving on to learn about simple and complex data types, conditionals and looping in Python. This workshop will prepare participants to carry out batch analysis and equip them with the knowledge to start creating automated pipelines to increase data processing power and productivity.
Researchers looking for scripting capabilities to run batch analyses and link processes to create a basic pipeline, or to automated repeated tasks for efficiency and reproducibility. No prior knowledge of Python is required, but a familiarity with command-line interfaces will be helpful.
- Manage files using the Unix file system and perform simple automated tasks
- Use Python to read and write data from and to files
- Perform simple scripting operations using loops and conditionals to carry out batch analyses
- Generate data plots with Python
- Fundamental programming concepts and how to apply them in Unix and Python
- Python data types and data structures
- Importing functions into Python using modules
- Programming structures: loops, conditionals, and functions
- Using scripting language to automate data analysis pipelines