3.9 and 3.10, including pattern matching • Extensive coverage of type hints, with many examples • Updated coverage of async/await, with examples in asyncio, FastAPI and Curio • Draft available now at OReilly.com: https://bit.ly/FluPy2e 2021 Q4, est.) 5
this? Using Python professionally since 1998, at first I considered static typing a bad fit for the language. typing.Protocol addressed my main concern. I am now a happy user, with moderation.
this? Using Python professionally since 1998, at first I considered static typing a bad fit for the language. typing.Protocol addressed my main concern. I am now a happy user, with moderation.
this? Using Python professionally since 1998, at first I considered static typing a bad fit for the language. typing.Protocol addressed my main concern. I am now a happy user, with moderation.
them Who am I to talk about type hints? Read lots of PEPs, messages, issue reports; interacted with some key proponents of type hints in Python; studied similar features in other languages—to write than 100 pages and dozens of examples in Fluent Python, Second Edition. Contributed bug fixes improving type hints on typeshed typeshed is the official repository of type hints used by all type checking tools, covering the standard library and other packages. Reorganized the documentation of Python’s typing module Proposed and implemented new overall organization to typing module docs in the Python 3.9 standard library, in collaboration with Guido van Rossum. Using Python professionally since 1998, at first I considered static typing a bad fit for the language. typing.Protocol addressed my main concern. I am now a happy user, with moderation.
be omitted and/or type checking disabled on single lines, functions and entire packages. Python Adopted a Gradual Type System 17 The Default type is Any Any is consistent with all other types. It is more general than object, and is understood to implement all interfaces. Does Not Catch Errors at Runtime Type hints are not used at runtime, only by code analysis tools such as linters, IDEs, and dedicated type checkers. Does Not Increase Performance Current Python implementations do not use type hints to optimize bytecode or machine code generation.
JavaScript dialect to date. Dart by Google The language of the Flutter SDK. Hack by Facebook PHP dialect supported by the JIT-enabled HHVM runtime. Other Languages with Gradual Typing
time Import time CI pipeline Linting Writing code IDE features • Autocomplete • Instant warnings (wiggly underlines) • Refactoring assistance Stand-alone type checkers (same tools used for linting) Explicit type checking and services • explicit checks with isinstance() or issubclass() • Single dispatch functions • Data validation (e.g. pydantic) • API generation (e.g. FastAPI Stand-alone type checkers • Mypy • Pytype • Pyre • Pyright CLI Data class builders • @dataclasses.dataclass • typing.NamedTuple metaclass
invested heavily in type hints, and report they were also useful to migrate from Python 2.7. 22 Dropbox Large scale users... Employer of typing PEP authors. Released: Mypy. Facebook Employer of typing PEP authors. Released Pyre. Google Released Pytype. Microsoft Employer of typing PEP authors. Released Pyright. JetBrains Created proprietary type checker embedded in PyCharm IDE. ...and IDE vendors
2021 Thoughtworks static typing duck typing STATIC CHECKING STRUCTURAL TYPES NOMINAL TYPES goose typing static duck typing su ported by typing.Proto l su ported by AB
essence of Python’s Data Model and standard library Use typing.Protocol to build Pythonic APIs 42 Follow the Interface Segregation Principle Client code should not be forced to depend on methods it does not use Prefer narrow protocols Single method protocols should be the most common. Sometimes, two methods. Rarely more.
essence of Python’s Data Model and standard library Use typing.Protocol to build Pythonic APIs 43 Follow the Interface Segregation Principle Client code should not be forced to depend on methods it does not use Prefer narrow protocols Single method protocols should be the most common. Sometimes, two methods. Rarely more.
essence of Python’s Data Model and standard library Use typing.Protocol to build Pythonic APIs 44 Follow the Interface Segregation Principle Client code should not be forced to depend on methods it does not use Prefer narrow protocols Single method protocols should be the most common. Sometimes, two methods. Rarely more.
type checking ecosystem—tools and annotations— are still immature and beneath the quality of Python itself. Static Typing is No Silver Bullet 48 No support for common, useful data constraints—even simple ones “Quantity must be int > 0” “Airport code must be str of length 3” “Email address must not be empty str” Type hints are generally unsuitable to check business rules. We need testing and runtime checking to verify business rules and algorithms.
implement all the documented functionality, with 2 constants, no imports 29 Lines of code for type hints: 7 imports, 4 definitions, and 6 overloaded signatures
unpacking config(**settings) Static type checkers can’t handle the expressive power of Python 61 Limited support for advanced features and abstractions Properties, descriptors, metaclasses, metaprogramming techniques in general Type checkers lag behind False reports and crashes when checking new features, sometimes more than a year after a Python release
help with gradual typing. Others are unhelpful: they force static typing everywhere. 68 Helpful for gradual typing: --disallow-incomplete-defs --check-untyped-defs --warn-unused-ignores Unhelpful for gradual typing: --strict --disallow-any-* 3 options) --disallow-untyped-* 2 options)
For professional software development teams, the benefits of static typing surpass the cost. But remember that Python is widely used in many other contexts. Main takeaways 69
For professional software development teams, the benefits of static typing surpass the cost. But remember that Python is widely used in many other contexts. Main takeaways 70 Use Protocols to enable Pythonic APIs Without the support for static duck typing provided by typing.Protocol, widespread use of type hints may lead to inflexible and verbose codebases. Define and use narrow protocols as needed.
For professional software development teams, the benefits of static typing surpass its significant cost. But remember that Python is widely used in many other contexts. Main takeaways 71 Use Protocols to enable Pythonic APIs Without the support for static duck typing provided by typing.Protocol, widespread use of type hints may lead to inflexible and verbose codebases. Define and use narrow protocols as needed. Don’t make type hints mandatory everywhere Developers should be free to leave portions of the code without type hints, to avoid the downsides and limitations of the static type system and the tools that enforce it.
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