Python dictionary with Redis as backend, built for large datasets. Simplifies Redis operations for large-scale and distributed systems. Supports various data types, namespacing, pipelining, and expiration.
As the title suggests, let's add support for the datetime type.
When implementing this feature, consider timezone handling, as there may be potential edge cases.
Add tests that involve timezones to determine if it is as straightforward as the rest of this message suggests.
Encoding and Decoding
We can use the following methods for encoding and decoding datetime objects:
from datetime import datetime
encode = datetime.isoformat
decode = datetime.fromisoformat
Attumm
commented
1 month ago
As the title suggests, let's add support for the
datetimetype.When implementing this feature, consider timezone handling, as there may be potential edge cases. Add tests that involve timezones to determine if it is as straightforward as the rest of this message suggests.
Encoding and Decoding
We can use the following methods for encoding and decoding
datetimeobjects: