Analysis of information sources in references of the Wikipedia article "Python (programming language)" in English language version.
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I'd spent a summer at DEC's Systems Research Center, which introduced me to Modula-2+; the Modula-3 final report was being written there at about the same time. What I learned there later showed up in Python's exception handling, modules, and the fact that methods explicitly contain 'self' in their parameter list. String slicing came from Algol-68 and Icon.
replace "CLU" with "Python", "record" with "instance", and "procedure" with "function or method", and you get a pretty accurate description of Python's object model.
We want something as usable for general programming as Python [...]
Mojo as a member of the Python family [..] Embracing Python massively simplifies our design efforts, because most of the syntax is already specified. [..] we decided that the right long-term goal for Mojo is to provide a superset of Python (i.e. be compatible with existing programs) and to embrace the CPython immediately for long-tail ecosystem enablement. To a Python programmer, we expect and hope that Mojo will be immediately familiar, while also providing new tools for developing systems-level code that enable you to do things that Python falls back to C and C++ for.
The Swift language is the product of tireless effort from a team of language experts, documentation gurus, compiler optimization ninjas, and an incredibly important internal dogfooding group who provided feedback to help refine and battle-test ideas. Of course, it also greatly benefited from the experiences hard-won by many other languages in the field, drawing ideas from Objective-C, Rust, Haskell, Ruby, Python, C#, CLU, and far too many others to list.
I had extensive experience with implementing an interpreted language in the ABC group at CWI, and from working with this group I had learned a lot about language design. This is the origin of many Python features, including the use of indentation for statement grouping and the inclusion of very high-level data types (although the details are all different in Python).
This module implements a number of iterator building blocks inspired by constructs from APL, Haskell, and SML.
It is a mixture of the class mechanisms found in C++ and Modula-3
List comprehensions and generator expressions [...] are a concise notation for such operations, borrowed from the functional programming language Haskell.
By popular demand, a few features commonly found in functional programming languages like Lisp have been added to Python. With the lambda keyword, small anonymous functions can be created.
This module provides regular expression matching operations similar to those found in Perl.
Since Python makes heavy use ofmalloc()andfree()}, it needs a strategy to avoid memory leaks as well as the re‑use of freed memory. The method chosen is called reference counting.
pprint – data pretty printer – Python 3.11.0 documentation". docs.python.org. Archived from the original on 22 January 2021. Retrieved 5 November 2022. stuff = ['spam', 'eggs', 'lumberjack', 'knights', 'ni']Almost all machines today (November 2000) use IEEE-754 floating point arithmetic, and almost all platforms map Python floats to IEEE-754 "double precision".
IDLE is Python's Integrated Development and Learning Environment.
The C3 method itself has nothing to do with Python, since it was invented by people working on Dylan and it is described in a paper intended for lispers
A PYC file is the bytecode file generated and read from when no optimization level is specified at interpreter startup [...] .pycDynamic modules have extensions like.dll,.pyd, and.so.
'stubs' - files containing only type information, empty of runtime code (the filename ends in .pyi).[...] the 'console' version of the launcher is associated with .py files and the 'windows' version associated with .pyw files.
After manually modifying one line of code by specifying the necessary type information, we obtained a speedup of 52.6×, making the translated Julia code 19.5× faster than the original Python code.
A PYC file is the bytecode file generated and read from when no optimization level is specified at interpreter startup [...] .pycDynamic modules have extensions like.dll,.pyd, and.so.
'stubs' - files containing only type information, empty of runtime code (the filename ends in .pyi).[...] the 'console' version of the launcher is associated with .py files and the 'windows' version associated with .pyw files.
I had extensive experience with implementing an interpreted language in the ABC group at CWI, and from working with this group I had learned a lot about language design. This is the origin of many Python features, including the use of indentation for statement grouping and the inclusion of very high-level data types (although the details are all different in Python).
I'd spent a summer at DEC's Systems Research Center, which introduced me to Modula-2+; the Modula-3 final report was being written there at about the same time. What I learned there later showed up in Python's exception handling, modules, and the fact that methods explicitly contain 'self' in their parameter list. String slicing came from Algol-68 and Icon.
This module implements a number of iterator building blocks inspired by constructs from APL, Haskell, and SML.
It is a mixture of the class mechanisms found in C++ and Modula-3
replace "CLU" with "Python", "record" with "instance", and "procedure" with "function or method", and you get a pretty accurate description of Python's object model.
The C3 method itself has nothing to do with Python, since it was invented by people working on Dylan and it is described in a paper intended for lispers
List comprehensions and generator expressions [...] are a concise notation for such operations, borrowed from the functional programming language Haskell.
By popular demand, a few features commonly found in functional programming languages like Lisp have been added to Python. With the lambda keyword, small anonymous functions can be created.
This module provides regular expression matching operations similar to those found in Perl.
We want something as usable for general programming as Python [...]
The Swift language is the product of tireless effort from a team of language experts, documentation gurus, compiler optimization ninjas, and an incredibly important internal dogfooding group who provided feedback to help refine and battle-test ideas. Of course, it also greatly benefited from the experiences hard-won by many other languages in the field, drawing ideas from Objective-C, Rust, Haskell, Ruby, Python, C#, CLU, and far too many others to list.
Since Python makes heavy use ofmalloc()andfree()}, it needs a strategy to avoid memory leaks as well as the re‑use of freed memory. The method chosen is called reference counting.
After manually modifying one line of code by specifying the necessary type information, we obtained a speedup of 52.6×, making the translated Julia code 19.5× faster than the original Python code.
pprint – data pretty printer – Python 3.11.0 documentation". docs.python.org. Archived from the original on 22 January 2021. Retrieved 5 November 2022. stuff = ['spam', 'eggs', 'lumberjack', 'knights', 'ni']Almost all machines today (November 2000) use IEEE-754 floating point arithmetic, and almost all platforms map Python floats to IEEE-754 "double precision".
Mojo as a member of the Python family [..] Embracing Python massively simplifies our design efforts, because most of the syntax is already specified. [..] we decided that the right long-term goal for Mojo is to provide a superset of Python (i.e. be compatible with existing programs) and to embrace the CPython immediately for long-tail ecosystem enablement. To a Python programmer, we expect and hope that Mojo will be immediately familiar, while also providing new tools for developing systems-level code that enable you to do things that Python falls back to C and C++ for.