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For example, one could define a dictionary having a string "toast" mapped to the integer 42 or vice versa. The keys in a dictionary must be of an immutable Python type, such as an integer or a string, because under the hood they are implemented via a hash function. This makes for much faster lookup times, but requires keys not change.
For example, to connect to the DICT server on localhost, on a Unix system one can normally type: telnet localhost dict and then enter the command "help" to see the available commands. The standard dictd package also provides a "dict" command for command-line use. More sophisticated DICT clients include: cURL
It ships with most Linux distributions, [230] AmigaOS 4 (using Python 2.7), FreeBSD (as a package), NetBSD, and OpenBSD (as a package) and can be used from the command line (terminal). Many Linux distributions use installers written in Python: Ubuntu uses the Ubiquity installer, while Red Hat Linux and Fedora Linux use the Anaconda installer.
for key, value in some_dict. items (): # Direct iteration on a dict iterates on its keys # Do stuff As for ... in is the only kind of for loop in Python, the equivalent to the "counter" loop found in other languages is...
Terminal symbols are the concrete characters or strings of characters (for example keywords such as define, if, let, or void) from which syntactically valid programs are constructed. Syntax can be divided into context-free syntax and context-sensitive syntax. [7] Context-free syntax are rules directed by the metalanguage of the programming ...
When using the Python shell, the primary prompt: >>>, is followed by new commands. The secondary prompt: ..., is used when continuing commands on multiple lines; and the result of executing the command is expected on following lines. A blank line, or another line starting with the primary prompt is seen as the end of the output from the command.
For example, in Python the following is syntactically valid code: x = 1 print ( x ) The following code, however, is syntactically valid in terms of the context-free grammar, yielding a syntax tree with the same structure as the previous, but violates the semantic rule requiring variables to be initialized before use:
While it is a command-line only tool, it can still interface with a number of other programs to provide visualisation including Wireshark, GnuPlot for providing graphs, graphviz or VPython for interactive displaying, etc. Starting with 2.4.0, Scapy supports Python 2.7 and 3.4+.