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  2. Bounds checking - Wikipedia

    en.wikipedia.org/wiki/Bounds_checking

    The safety added by bounds checking necessarily costs CPU time if the checking is performed in software; however, if the checks could be performed by hardware, then the safety can be provided "for free" with no runtime cost. An early system with hardware bounds checking was the ICL 2900 Series mainframe announced in 1974. [3]

  3. Cuneiform (programming language) - Wikipedia

    en.wikipedia.org/wiki/Cuneiform_(programming...

    Cuneiform provides a simple, statically checked type system. [11] While Cuneiform provides lists as compound data types it omits traditional list accessors (head and tail) to avoid the possibility of runtime errors which might arise when accessing the empty list.

  4. Strong and weak typing - Wikipedia

    en.wikipedia.org/wiki/Strong_and_weak_typing

    Smalltalk, Ruby, Python, and Self are all "strongly typed" in the sense that typing errors are prevented at runtime and they do little implicit type conversion, but these languages make no use of static type checking: the compiler does not check or enforce type constraint rules.

  5. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    Python supports a wide variety of string operations. Strings in Python are immutable, so a string operation such as a substitution of characters, that in other programming languages might alter the string in place, returns a new string in Python. Performance considerations sometimes push for using special techniques in programs that modify ...

  6. Syntax (programming languages) - Wikipedia

    en.wikipedia.org/wiki/Syntax_(programming_languages)

    In a dynamically typed language, where type can only be determined at runtime, many type errors can only be detected at runtime. For example, the Python code a + b is syntactically valid at the phrase level, but the correctness of the types of a and b can only be determined at runtime, as variables do not have types in Python, only values do.

  7. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Python uses the + operator for string concatenation. Python uses the * operator for duplicating a string a specified number of times. The @ infix operator is intended to be used by libraries such as NumPy for matrix multiplication. [104] [105] The syntax :=, called the "walrus operator", was introduced in Python 3.8. It assigns values to ...

  8. Category:Errors reported by Module String - Wikipedia

    en.wikipedia.org/wiki/Category:Errors_reported...

    This category is a catch-all for errors reported by Module:String. Such errors generally occur due to incorrect parameters, such as indices that are out of range for the strings being examined. Users of Module:String may also specify an alternative cat to use via the error_category= parameter.

  9. List of HTTP status codes - Wikipedia

    en.wikipedia.org/wiki/List_of_HTTP_status_codes

    This class of status code indicates the client must take additional action to complete the request. Many of these status codes are used in URL redirection. [2]A user agent may carry out the additional action with no user interaction only if the method used in the second request is GET or HEAD.