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Some programming languages (or compilers for them) provide a built-in (primitive) or library decimal data type to represent non-repeating decimal fractions like 0.3 and −1.17 without rounding, and to do arithmetic on them. Examples are the decimal.Decimal or num7.Num type of Python, and analogous types provided by other languages.
The Indian python (Python molurus) is a large python species native to tropical and subtropical regions of the Indian subcontinent and Southeast Asia. [3] It is also known by the common names black-tailed python , [ 4 ] Indian rock python , and Asian rock python .
The dwarf Burmese python (Python bivittatus progschai) is an insular dwarf subspecies of the Burmese python. The dwarf Burmese python is native to the Indonesian islands of Java, Bali, Sumbawa, and Sulawesi. The dwarf subspecies seems to have a maximum length of 5.9 ft (1.8 m). [2]
In December 2013, a 59-year-old security guard was strangled to death while trying to capture a python near the Bali Hyatt, a luxury hotel on Indonesia's resort island. The incident happened around 3 am as the 4.5-m (15-ft) python was crossing a road near the hotel.
3.14159 26535 89793 23846 is π rounded to 20 decimal places 2.71828 18284 59045 23536 is e rounded to 20 decimal places. In some programming languages, it is possible to group the digits in the program's source code to make it easier to read; see Integer literal: Digit separators.
The Indian system groups digits of a large decimal representation differently than the US and other English-speaking regions. The Indian system does group the first three digits to the left of the decimal point. But thereafter, groups by two digits to align with the naming of quantities at multiples of 100. [2]
Like the binary floating-point formats, the number is divided into a sign, an exponent, and a significand. Unlike binary floating-point, numbers are not necessarily normalized; values with few significant digits have multiple possible representations: 1×10 2 =0.1×10 3 =0.01×10 4, etc. When the significand is zero, the exponent can be any ...
Introduced in Python 2.2 as an optional feature and finalized in version 2.3, generators are Python's mechanism for lazy evaluation of a function that would otherwise return a space-prohibitive or computationally intensive list. This is an example to lazily generate the prime numbers: