{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/5"}],"enrichment":{"capability":"Defines custom null and sentinel values that behave like empty containers or designated markers, distinct from Python's built-in None, False, and True.","skillfed_tags":["sentinel-values","null-object-pattern","data-parsing"],"use_cases":["Parsing REST API responses where nested keys may be absent, replacing repeated if-checks with chainable .get() calls using Nothing as a default.","Traversing XML or JSON parse trees where intermediate nodes might not exist, using a single sentinel to represent all missing branches.","Creating domain-specific sentinel values (e.g., Prohibited, Undefined, Passthrough) to distinguish different kinds of emptiness in business logic.","Replacing ad-hoc sentinel classes or magic values with named, printable NullType instances for clarity.","Implementing the null object pattern in Python without overloading None or False, making code intent explicit."],"what_it_does":"nulltype lets you create custom null-like sentinel values\u2014instances of NullType or NonNullType\u2014that behave like empty containers (falsy, iterable, indexable) but carry semantic meaning distinct from None. Instead of overloading None to mean \"not present,\" \"undefined,\" \"prohibited,\" or \"end of data,\" you can define separate sentinels like Empty, Nothing, or Passthrough, each with a clear purpose.\n\nThe main use case is simplifying nested data access patterns common in REST API responses, XML trees, and other deeply nested structures. Instead of writing guard clauses at each level, you can chain .get() calls with a Nothing sentinel as the fallback, and the sentinel will safely absorb further operations (attribute access, iteration, indexing, calls) without raising exceptions. The package is pure Python with no dependencies, tested against Python 2.6, 2.7, 3.3, 3.4, 3.5, 3.6, and 3.7, and distributed under Apache License 2.0.","worth_installing":"Yes, if you are working with nested data structures (APIs, XML, JSON) and want cleaner, more readable code for handling missing values. No, if you require active maintenance\u2014the package is abandoned as of 2018-06-03. For new projects, verify compatibility with your Python version and consider whether a modern alternative better fits your codebase."},"id":"nulltype","links":{"html":"https://skillfed.io/packages/nulltype","md":"https://skillfed.io/packages/nulltype.md","pypi":"https://pypi.org/project/nulltype/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2018-06-03","license_spdx":null,"license_treatment":"permissive","name":"nulltype","python_support":"unspecified","summary":"Null values and sentinels like (but not) None, False & True"},"popularity":{"monthly_downloads":3233025,"position":2691,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"2.3.1"}