
(If you want the best of both worlds, you can use a package like ijson, but that's more complex. The disadvantage is that you're no longer writing valid JSON, so you can't use tools like jq on the output. The advantage of this approach would be that you can now load each individual JSON object in memory, without having to load the entire file in at once. You'd read this like so: with open("filename", "rt") as file: Second approach would be to newline-separate your JSON objects, like this: Įach line is a JSON object.

So, start the file with an open bracket, and write a comma after every JSON object, except the last one, then end the file with a close bracket. One is to wrap the JSON objects in a list: [ There are a few approaches you could take here. Third, having multiple JSON objects in a file is not valid JSON. Second, you can avoid creating an extra string by writing directly to the file: with open('somefile.json', 'a',encoding="utf-8") as file: A better approach would be: with open('somefile.json', 'a',encoding="utf-8") as file:īecause that uses a context manager to explicitly close the file. That is true on CPython, but not on all Python implementations. You're implicitly assuming that the file will be closed here.

The 'tassle' worn on their lapel was the emblem of the employee's trade and was known as a 'mop' - hence the term " mop fair. It is used to soak up liquid, for cleaning floors and other surfaces, to mop up dust, or for other cleaning purposes.Ī servant with no particular skills would carry a mop head. A mop (such as a floor mop) is a mass or bundle of coarse strings or yarn, etc., or a piece of cloth, sponge or other absorbent material, attached to a pole or stick.
