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Flow diagram. In computing, serialization (or serialisation, also referred to as pickling in Python) is the process of translating a data structure or object state into a format that can be stored (e.g. files in secondary storage devices, data buffers in primary storage devices) or transmitted (e.g. data streams over computer networks) and reconstructed later (possibly in a different computer ...
ZODB stores Python objects using an extended version of Python's built-in object persistence (pickle). A ZODB database has a single root object (normally a dictionary), which is the only object directly made accessible by the database. All other objects stored in the database are reached through the root object.
^ ASN.1 has X.681 (Information Object System), X.682 (Constraints), and X.683 (Parameterization) that allow for the precise specification of open types where the types of values can be identified by integers, by OIDs, etc. OIDs are a standard format for globally unique identifiers, as well as a standard notation ("absolute reference") for ...
Marshalling is similar to or synonymous with serialization, although technically serialization is one step in the process of marshalling an object.. Marshalling is describing the overall intent or process to transfer some live object from a client to a server (with client and server taken as abstract, mirrored concepts mapping to any matching ends of an arbitrary communication link ie.
Many programming languages define language-specific serialization formats. For instance, Python's "pickle" module and Ruby's "Marshal" module. These formats are generally language specific. They also don't require a schema, which makes them easier to use in ad hoc storage scenarios, but inappropriate for communications protocols.
Interestingly enough, the controversy surrounding the word "pickle" on pickle labeling has been around for several years. There's even a Reddit thread about it that dates back to 2017.
Free-agent closer Kenley Jansen has agreed to a one-year, $10 million contract with the Los Angeles Angels, he confirmed on social media after multiple media reports earlier Tuesday.
U.S. existing home sales dropped more than expected in January after three straight monthly increases as high mortgage rates and house prices stifled demand. Home sales decreased 4.9% last month ...