Next
This calls the __anext__() method of async_iterator,returning an awaitable. Awaiting this returns the next value of theiterator. If default is given, it is returned if the iterator is exhausted,otherwise StopAsyncIteration is raised.
next
Return an enumerate object. iterable must be a sequence, aniterator, or some other object which supports iteration.The __next__() method of the iterator returned byenumerate() returns a tuple containing a count (from start whichdefaults to 0) and the values obtained from iterating over iterable.
Return an iterator object. The first argument is interpreted verydifferently depending on the presence of the second argument. Without asecond argument, object must be a collection object which supports theiterable protocol (the __iter__() method), or it must supportthe sequence protocol (the __getitem__() method with integer argumentsstarting at 0). If it does not support either of those protocols,TypeError is raised. If the second argument, sentinel, is given,then object must be a callable object. The iterator created in this casewill call object with no arguments for each call to its__next__() method; if the value returned is equal tosentinel, StopIteration will be raised, otherwise the value willbe returned.
Given a jQuery object that represents a set of DOM elements, the .next() method allows us to search through the immediately following sibling of these elements in the DOM tree and construct a new jQuery object from the matching elements.
Next gen educators refuse to ignore that K-12 education in the U.S. is inequitable. The challenge of Designing for Equity is keeping it central to each design choice and next gen learning practice.
Next Generation Learning Challenges (NGLC) supports the educators who are reimagining public education. NGLC helps them apply what we now know about learning to school design; we help them live next gen learning professionally; and we work with them to generate environments in which next gen learning can flourish.
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Example of next generation sequencing (NGS) raw data-BRAF V600E mutation in melanoma. The mutation was found by our group in 2002 as part of several year-long efforts to define somatic mutations in human cancer using Sanger sequencing, prior to the advent of NGS.
AMD is transforming our lives by building great products that accelerate next-generation high-performance and adaptive computing experiences. AMD and Fortinet unlock high-performance capabilities for customers, enabling them to experience a best-in-class security and user experience with a compelling value proposition.
ATAR Labs builds next-generation SOAR platform ATAR. Together with Fortinet, SOC teams become more agile and respond to complex threats and defend their infrastructure. Automatic processes deployed and orchestrated from ATAR, and enforcement, and detection from Fortinet creates an integrated operation to achieve a secure environment. 041b061a72