Python JSON and CSV: Reading, Writing, and Common Pitfalls
JSON and CSV are the two formats I handle most. Here is how I read and write them correctly, avoiding the encoding and type pitfalls. JSON and CSV are the data formats I encounter most frequently. APIs return JSON, data exports come as CSV, and configuration files use both. The Python standard library has modules for each, and while the basics are simple, there are pitfalls around encoding, types, and large files that I learned to handle the hard way. Reading and Writing JSON The json module has four main functions: loads and dumps work with strings, load and dump work with files. The naming is consistent. the s stands for string. import json # Parse a JSON string data = json.loads('{ Monitoring and Alerting for Python Json Csv Handling I did not build monitoring for python json csv handling until after my first production incident. That was a mistake. Monitoring would have caught the issue 40 minutes before users noticed. Here is the monitoring setup I wish I had from day one. undefinedundefined Final Notes One more thing worth mentioning: the community around this topic has been incredibly helpful. When I hit issues that…