Hi Readers! Where data has become the equivalent of water, it is all about speed. Just imagine that you have to find a name in a million names, not within hours, not within minutes, but within 20 steps. That is the strength of the binary search. It is the technology of quick searches, intelligent applications, and real-time systems. Along with coding in Python, coding in Java, or cracking programming interviews, you need to know binary search, an efficient trick that you can use to write professional-quality code. The binary search algorithm is discussed in this guide in simple and short steps, which makes it ideal to be read by both newcomers and highly skilled programmers. We are going to explore one of the brightest gems in the toolset of a programmer in this blog. Binary search is a speedy method to search items in a sorting array. It divides the search range by half at a time, and hence is O(log n) in time computation. This implies that it is incredibly faster compared to linear search in the case of large data sets.