This is source code that is either used in the presentation, or was developed to create it. There is some material not covered in the presentation as well.

• Python version: at least 3.6
• Packages (names listed that can be used with pip or conda to install):
  • jinja2
  • jupyter
  • matplotlib
  • numpy
  • paramiko
  • psutil
  • python=3.7.5
  • sh

1. application: illustration of how to combine configparser and argparse.
2. cmd: illustration of how to create a repl application.
3. code-evaluation: illustrates how to evaluate a string containing Python code at runtime.
4. command-Line-args: illustration of how to use the argparse and the click module to handle command line arguments.
5. config-parser: illustrates how to use the ConfigParser module to handle configuration files.
6. data-formats: illustrates how to deal with data formats such as CSV files, binary data and XML.
7. directory-entrypoint: illustrates how to define an application entry point in a directory.
8. enviroment-variables: illustrates how to use environment variables to set paths in a script.
9. hydra: Facebook Hydra application framework illustration.
10. jinja: illustration of how to use the jinja2 template library.
11. logging: illustration of Python's logging facilities.
12. file-system: illustrations of interacting with the operating system and the file system.
13. paramiko: a few examples of using the Paramiko library for SSH to remote hosts.
14. processes: examples of how to work with processes.
15. sched: scheduled execution of functions in Python.
16. subprocess: illustrates executing a shell command from a Python script using the subprocess module.
17. xml-generator: code to generate a random XML documents.
18. fastapi: simple illustrations of using FastAPI for webservices.