Documentation mistakes and typos

[Krizsi96]

• [ ] Create Your First Log missing project description

• [ ] This function takes care of making sure that we can create our log file and setting up the console logging.

• [ ] This file is serialized with Protobuf,

[Krizsi96]

• [ ] from mcap_logger.demo.demo import logger

• [ ] Google's language-neutral mechanism for serializing structured data.

• [ ] . ├── .python-version ├── README.md ├── hello.py ├── pyproject.toml ├── thermostat_data.proto └── thermostat_data_pb2.py

• [ ] To create a thermostat data in our hello.py script,

• [ ] thermostat_data = SensorData(temperature=20, humidity=65)

• [ ] Log The Sensor Data

• [ ] Notice that you can change the log level of the console logging with the level argument for get_logger function. This can be useful if you need less verbose log messages in

• [ ] and for the Plot panel we will add two Series

• [ ] Now you know how to make full use of the mcap-logger package

[Krizsi96]

• [ ] This part of the project documentation focuses on an infromation-oriented approach. Use it as a reference for the technical implementation of the mcap-logger project code.

• [ ] Fortunately, there is already solutions like MCAP and Foxglove,

• [ ] Protocol Buffers are a language-neutral, platform-neutral extensible mechanism for serializing structured data.

• [ ] the serialization format for data that is written to a file (or sent across a network connection), and the serialized data.

• [ ] Optimized functionality through automatically-generated classes

[Krizsi96]

• [ ] MCAP-Logger wraps the MCAP protobuf logging package with the Foxglove schemas to provide a standardised, easy to import and use logging method (missing links)

[Krizsi96]

• [ ] Links:

Documentation PyPI package (missing repo link)

[Krizsi96]

• [ ] This python package to provide a standardised, easy to import and use logging method.