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Rachel Brodsky of Stereogum called it a "punchy fuck-you anthem" and compared it to the likes of Olivia Rodrigo and Gayle. [3] It went viral on TikTok and was used in over 580,000 videos as of June 24, 2022. [9] [10] Commercially, "10 Things I Hate About You" reached the top 30 in Australia and the United Kingdom.
NumPy (pronounced / ˈ n ʌ m p aɪ / NUM-py) is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. [3] The predecessor of NumPy, Numeric, was originally created by Jim Hugunin with ...
Writing duo Karen McCullah and Kirsten Smith were inspired to write 10 Things I Hate About You after watching Clueless (1995). Being a fan of teen films , the pair set out to find a classic play or myth to turn it into a contemporary high-school movie, eventually settling on The Taming of the Shrew , a comedy by William Shakespeare . [ 4 ]
Single precision is termed REAL in Fortran; [1] SINGLE-FLOAT in Common Lisp; [2] float in C, C++, C# and Java; [3] Float in Haskell [4] and Swift; [5] and Single in Object Pascal , Visual Basic, and MATLAB. However, float in Python, Ruby, PHP, and OCaml and single in versions of Octave before 3.2 refer to double-precision numbers.
Thus, only 10 bits of the significand appear in the memory format but the total precision is 11 bits. In IEEE 754 parlance, there are 10 bits of significand, but there are 11 bits of significand precision (log 10 (2 11 ) ≈ 3.311 decimal digits, or 4 digits ± slightly less than 5 units in the last place ).
10 Things I Hate About You is an American television sitcom broadcast on ABC Family beginning in 2009. Developed by Carter Covington , the show is a half-hour, single-camera series based on the 1999 film of the same name .
Benefit of this encoding is access to individual digits by de- / encoding only 10 bits, disadvantage is that some simple functions like sort and compare, very frequently used in coding, do not work on the bit pattern but require decoding to decimal digits (and evtl. re-encode to binary integers) first.
Since 2 10 = 1024, the complete range of the positive normal floating-point numbers in this format is from 2 −1022 ≈ 2 × 10 −308 to approximately 2 1024 ≈ 2 × 10 308. The number of normal floating-point numbers in a system (B, P, L, U) where B is the base of the system, P is the precision of the significand (in base B),