Chapter 1: Prototyping and Environments Chapter Goal: Create a prototype script to read a single sensor valueNo of pages 25Sub -Topics1 Introduce the example of collating data from a large number of othermachines1.1 Possible usecases of this pattern include log aggregation, servermonitoring, IoT, monitoring of customer servers, etc1.2 We'll use raspberry pis with a mix of server monitoring andvery basic sensors like temperature sensors. There'll be no IoTspecific setup or detail, it's just that this is easier for people tofollow along with without inventing another system beingmonitored.1.3 There'll be plenty of extra context here for how to apply theongoing example if you do already have a system that needsmonitoring.2 Prototyping using jupyter and nbconvert3 Use pipenv to set up dependency environment3.1 Note that by introducing pipenv before setuptools we'repreempting the confusion about the right way to do dependencyand environment management.

Chapter 2: Testing, Checking and LintingChapter Goal: Progress the prototype to a series of reliable functions thatcan be testedNo of pages: 30Sub - Topics1 Testing with PyTest (especially fixtures and MUT style)2 Type hinting and checking with mypy3 Linting with flake8 and autoformatting with black4 pre-commit and commit hooks5 GitHub CI integration for easier contributions
Chapter 3: Packaging ScriptsChapter Goal: Create an installable package that gives a single script toread the sensor valueNo of pages: 30Sub - Topics: 1 setup.py and setuptools when it comes to packaging (not pip /setup.py for environment management, that's in chapter 1)2 Namespace packages3 Console entrypoint4 argparseHelpful aside: Package name conflicts, installing from GitHub releases, release hashing, wheels
Chapter 4: From Script to LibraryChapter Goal: Extend the package to allow reading of multiple sensorsthrough the command lineNo of pages: 20Sub - Topics: 1. Abstract Base Classes2. Second sensor value3. argparse subcommands
Chapter 5: Alternative InterfacesChapter Goal: Make the script functionality available as a HTTPmicroserviceNo of pages: 40Sub - Topics: 1 Simple API servers using flask2 Plugin architecture using entrypoints3 Dynamic dispatch4 Serialisation considerations with custom classes (like units from pintspackage)

Chapter 6: Speeding Things UpChapter Goal: Discuss optimisation strategies, what the tradeoffs betweenasync and different types of caching are. We'll use cachinghere, but async laterNo of pages: 25Sub - Topics: 1 asyncio vs lru_cache vs redis vs sqlite etc2 Use of timeit3 File operations using context managers
Chapter 7: Aggregation ProcessChapter Goal: Create a new package, read configuration files, do a basicHTTP loopNo of pages: 25Sub - Topics: 1 cookiecutter2 Config files (configparser vs json vs yaml)3 Requests library4 More depth in pytest usage
Chapter 8: Asynchronous ProgrammingChapter Goal: Understand the event loop, especially async for loops, demonstrate how
About the Author:

Matthew Wilkes is a European software developer who has worked with Python on web projects for the last fifteen years. As well as developing software, he has long experience in mentoring Python developers in a commercial setting.

He is also very involved in open source software, with commits to many popular

frameworks. His contributions in that space are focused on the details of database and security interactions of web frameworks.