Analysis of information sources in references of the Wikipedia article "Python" in Chinese language version.
Python is a simple, yet powerful, interpreted programming language that bridges the gap between C and shell programming, and is thus ideally suited for "throw-away programming" and rapid prototyping. Its syntax is put together from constructs borrowed from a variety of other languages; most prominent are influences from ABC, C, Modula-3 and Icon.
The Python interpreter is easily extended with new functions and data types implemented in C. Python is also suitable as an extension language for highly customizable C applications such as editors or window managers.
Python is an interpreted object oriented programming language. This document describes how to write modules in C or C++ to extend the Python interpreter with new modules. Those modules can define new functions but also new object types and their methods. The document also describes how to embed the Python interpreter in another application, for use as an extension language. Finally, it shows how to compile and link extension modules so that they can be loaded dynamically (at run time) into the interpreter, if the underlying operating system supports this feature.
Pyston was started at Dropbox in 2014 ……. …… In 2017 …… Pyston project was shut down. …… In 2019 the Pyston developers regrouped ……. …… In mid-2021 the Pyston developers joined Anaconda …….
Mojo is still young, but it is designed to become a superset of Python over time.
Nim's syntax is strongly reminiscent of Python's, as it uses indented code blocks and some of the same syntax (such as the way if/elif/then/else blocks are constructed).
We want something as usable for general programming as Python [...]
String slicing came from Algol-68 and Icon.
>>> from functools import reduce
>>> reduce(lambda x, y: x+y, [1, 2, 3, 4, 5])
15
>>> fac = lambda n: (1 if n<2 else n*fac(n-1))
>>> fac(5)
120
>>> [*map(fac, [1, 2, 3, 4, 5])]
[1, 2, 6, 24, 120]
不动点组合子示例：
>>> Y = lambda f: (lambda x: x(x))(lambda y: f(lambda *args: y(y)(*args)))
>>> fac = lambda f: lambda n: (1 if n<2 else n*f(n-1))
>>> Y(fac)(5)
120
>>> fib = lambda f: lambda n: 0 if n == 0 else (1 if n == 1 else f(n-1) + f(n-2))
>>> Y(fib)(6)
8
>>> [*map((lambda f: (lambda x: x(x))(lambda y: f(lambda *args: y(y)(*args))))(lambda f: lambda n: (1 if n<2 else n*f(n-1))), [1, 2, 3, 4, 5])]
[1, 2, 6, 24, 120]
上述Y组合子代码源出自Rosetta Code. [2020-10-21]. （原始内容存档于2021-01-11）.其原理可参见Equational derivations of the Y combinator and Church encodings in Python. [2020-10-21]. （原始内容存档于2020-11-12）.
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.
Python can be seen as a dialect of Lisp with "traditional" syntax (what Lisp people call "infix" or "m-lisp" syntax).
The term broadcasting describes how NumPy treats arrays with different shapes during arithmetic operations. Subject to certain constraints, the smaller array is “broadcast” across the larger array so that they have compatible shapes.
even though the design of C is far from ideal, its influence on Python is considerable.
We’re very excited to announce that today we are releasing a new version of Pyston-lite, our Python JIT-as-an-extension-module, with the headline feature of supporting Python versions 3.7 through 3.10 (Mac and Linux). Previously we only supported Python 3.8, and support for other versions was one of our most-requested features.
Compared with other programming languages, Python’s class mechanism adds classes with a minimum of new syntax and semantics. It is a mixture of the class mechanisms found in C++ and Modula-3.
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 use of freed memory. The chosen method is called reference counting.
simple_stmts:
| simple_stmt !';' NEWLINE # Not needed, there for speedup
| ';'.simple_stmt+ [';'] NEWLINE
statements: statement+statement: compound_stmt | simple_stmts
……block:
| NEWLINE INDENT statements DEDENT
| simple_stmts
Support for generator-based coroutines is deprecated and is scheduled for removal in Python 3.10.
almost all platforms map Python floats to IEEE-754 “double precision”.
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.
python library for design by contract (DbC) and checking values, exceptions, and side-effects.
Despite all its elegance and power and the availability of a free implementation, ABC never became popular in the Unix/C world. I can only speculate about the reasons, but here's a likely one: the difficulty of adding new "primitive" operations to ABC.
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.
Lambda expressions are particularly useful in combination with map(), filter() and reduce(), described below. Thanks to Amrit Prem for submitting this code (as well as map(), filter(), reduce() and xrange())!
The relational operators group left-to-right, but this fact is not useful;a<b<cis parsed as(a<b)<c, and evaluates to either0or1.
aspectlib is an aspect-oriented programming, monkey-patch and decorators library. It is useful when changing behavior in existing code is desired.
>>> from functools import reduce
>>> reduce(lambda x, y: x+y, [1, 2, 3, 4, 5])
15
>>> fac = lambda n: (1 if n<2 else n*fac(n-1))
>>> fac(5)
120
>>> [*map(fac, [1, 2, 3, 4, 5])]
[1, 2, 6, 24, 120]
不动点组合子示例：
>>> Y = lambda f: (lambda x: x(x))(lambda y: f(lambda *args: y(y)(*args)))
>>> fac = lambda f: lambda n: (1 if n<2 else n*f(n-1))
>>> Y(fac)(5)
120
>>> fib = lambda f: lambda n: 0 if n == 0 else (1 if n == 1 else f(n-1) + f(n-2))
>>> Y(fib)(6)
8
>>> [*map((lambda f: (lambda x: x(x))(lambda y: f(lambda *args: y(y)(*args))))(lambda f: lambda n: (1 if n<2 else n*f(n-1))), [1, 2, 3, 4, 5])]
[1, 2, 6, 24, 120]
上述Y组合子代码源出自Rosetta Code. [2020-10-21]. （原始内容存档于2021-01-11）.其原理可参见Equational derivations of the Y combinator and Church encodings in Python. [2020-10-21]. （原始内容存档于2020-11-12）.
Python has won the TIOBE programming language of the year award! This is for the fourth time in the history, which is a record! The title is awarded to the programming language that has gained most popularity in one year.
>>> from functools import reduce
>>> reduce(lambda x, y: x+y, [1, 2, 3, 4, 5])
15
>>> fac = lambda n: (1 if n<2 else n*fac(n-1))
>>> fac(5)
120
>>> [*map(fac, [1, 2, 3, 4, 5])]
[1, 2, 6, 24, 120]
不动点组合子示例：
>>> Y = lambda f: (lambda x: x(x))(lambda y: f(lambda *args: y(y)(*args)))
>>> fac = lambda f: lambda n: (1 if n<2 else n*f(n-1))
>>> Y(fac)(5)
120
>>> fib = lambda f: lambda n: 0 if n == 0 else (1 if n == 1 else f(n-1) + f(n-2))
>>> Y(fib)(6)
8
>>> [*map((lambda f: (lambda x: x(x))(lambda y: f(lambda *args: y(y)(*args))))(lambda f: lambda n: (1 if n<2 else n*f(n-1))), [1, 2, 3, 4, 5])]
[1, 2, 6, 24, 120]
上述Y组合子代码源出自Rosetta Code. [2020-10-21]. （原始内容存档于2021-01-11）.其原理可参见Equational derivations of the Y combinator and Church encodings in Python. [2020-10-21]. （原始内容存档于2020-11-12）.
Pyston was started at Dropbox in 2014 ……. …… In 2017 …… Pyston project was shut down. …… In 2019 the Pyston developers regrouped ……. …… In mid-2021 the Pyston developers joined Anaconda …….
String slicing came from Algol-68 and Icon.
even though the design of C is far from ideal, its influence on Python is considerable.
Compared with other programming languages, Python’s class mechanism adds classes with a minimum of new syntax and semantics. 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.
Python is a simple, yet powerful, interpreted programming language that bridges the gap between C and shell programming, and is thus ideally suited for "throw-away programming" and rapid prototyping. Its syntax is put together from constructs borrowed from a variety of other languages; most prominent are influences from ABC, C, Modula-3 and Icon.
The Python interpreter is easily extended with new functions and data types implemented in C. Python is also suitable as an extension language for highly customizable C applications such as editors or window managers.
This module provides regular expression matching operations similar to those found in Perl.
We want something as usable for general programming as Python [...]
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.
Python can be seen as a dialect of Lisp with "traditional" syntax (what Lisp people call "infix" or "m-lisp" syntax).
Python has won the TIOBE programming language of the year award! This is for the fourth time in the history, which is a record! The title is awarded to the programming language that has gained most popularity in one year.
Lambda expressions are particularly useful in combination with map(), filter() and reduce(), described below. Thanks to Amrit Prem for submitting this code (as well as map(), filter(), reduce() and xrange())!
aspectlib is an aspect-oriented programming, monkey-patch and decorators library. It is useful when changing behavior in existing code is desired.
python library for design by contract (DbC) and checking values, exceptions, and side-effects.
Since Python makes heavy use ofmalloc()andfree(), it needs a strategy to avoid memory leaks as well as the use of freed memory. The chosen method is called reference counting.
Despite all its elegance and power and the availability of a free implementation, ABC never became popular in the Unix/C world. I can only speculate about the reasons, but here's a likely one: the difficulty of adding new "primitive" operations to ABC.
Python is an interpreted object oriented programming language. This document describes how to write modules in C or C++ to extend the Python interpreter with new modules. Those modules can define new functions but also new object types and their methods. The document also describes how to embed the Python interpreter in another application, for use as an extension language. Finally, it shows how to compile and link extension modules so that they can be loaded dynamically (at run time) into the interpreter, if the underlying operating system supports this feature.
simple_stmts:
| simple_stmt !';' NEWLINE # Not needed, there for speedup
| ';'.simple_stmt+ [';'] NEWLINE
statements: statement+statement: compound_stmt | simple_stmts
……block:
| NEWLINE INDENT statements DEDENT
| simple_stmts
Support for generator-based coroutines is deprecated and is scheduled for removal in Python 3.10.
almost all platforms map Python floats to IEEE-754 “double precision”.
The relational operators group left-to-right, but this fact is not useful;a<b<cis parsed as(a<b)<c, and evaluates to either0or1.
We’re very excited to announce that today we are releasing a new version of Pyston-lite, our Python JIT-as-an-extension-module, with the headline feature of supporting Python versions 3.7 through 3.10 (Mac and Linux). Previously we only supported Python 3.8, and support for other versions was one of our most-requested features.
The term broadcasting describes how NumPy treats arrays with different shapes during arithmetic operations. Subject to certain constraints, the smaller array is “broadcast” across the larger array so that they have compatible shapes.
DataFrame is a 2-dimensional labeled data structure with columns of potentially different types. You can think of it like a spreadsheet or SQL table, or a dict of Series objects. It is generally the most commonly used pandas object.
Mojo is still young, but it is designed to become a superset of Python over time.
Nim's syntax is strongly reminiscent of Python's, as it uses indented code blocks and some of the same syntax (such as the way if/elif/then/else blocks are constructed).
format方法）的示例：
print("""亲爱的{recipient},
我希望你离开Sunnydale并永不返回.
不是很爱你的,
{sender}
""".format(sender="吸血鬼猎人Buffy", recipient="Spike"))
favourite_colour接受一个实际参数，并返回一个修饰器：
def favourite_colour(colour):
def decorator(func):
def wrapper(*args, **kwargs):
print(f"My favourite colour is {colour}.")
func(*args, **kwargs)
return wrapper
return decorator
def invincible(func):
def wrapper(*args, **kwargs):
print("I'm invincible!")
func(*args, **kwargs)
return wrapper
使用毗连的修饰符链接修饰器示例：
@invincible
@favourite_colour("blue")
def black_knight():
print("None shall pass.")
使用中间变量链接修饰器示例：
blue_decorator = favourite_colour("blue")
decorated_by_blue = blue_decorator(black_knight)
black_knight = invincible(decorated_by_blue)
它们等价于：
black_knight = invincible(favourite_colour("blue")(black_knight))
black_knight()结果为：
>>> black_knight()
I'm invincible!
My favourite colour is blue.
None shall pass.
Python is a simple, yet powerful, interpreted programming language that bridges the gap between C and shell programming, and is thus ideally suited for "throw-away programming" and rapid prototyping. Its syntax is put together from constructs borrowed from a variety of other languages; most prominent are influences from ABC, C, Modula-3 and Icon.
The Python interpreter is easily extended with new functions and data types implemented in C. Python is also suitable as an extension language for highly customizable C applications such as editors or window managers.