Materials on AI, Python, Git, SQL, SAP/ERP, statistics and time series: explanations, examples, practical tips, sources and applicability limits.
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The json module handles only a fixed set of Python types. To serialize complex numbers, dates, paths, or user-defined classes you must supply a default function or subclass JSONEncoder, then pair the output with object_hook on the decode side.
Use ISO timestamp strings and decimal strings, then reconstruct the fields explicitly. A complete standard-library example shows timezone checks, precision and predictable failures.
Learn how to parse JSON data in Python from both string literals and files, and how to effectively handle potential decoding errors using the built-in json module.
Transactions in PostgreSQL allow grouping SQL operations into atomic blocks using the commands BEGIN, COMMIT, and ROLLBACK. This ensures data integrity: either all changes are applied or none at all. The mechanism is based on ACID principles - atomicity, consistency, isolation, and durability.