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Binary Search Algorithm
I made a new video explaining the Binary Search Algorithm. My aim is to explain Binary Search Algorithm more straightforwardly in this video. I have also tried to explain this visually with the help of an example array I took. I hope this video helps you understand about Binary Search Algorithm.
Do check it out!
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Understand what is searching algorithm and the types of searching algorithms i.e linear search and binary search along with its python code and applications.
To locate the data, the computer use a searching algorithm. The system enters its memory, performs a data search using the searching algorithm technique, and returns the data requested by the user.
Indexes are used to find rows with specific column values quickly.
Without an index, MySQL must begin with the first row and then read through the entire table to find the relevant rows.
The larger the table, the more this costs.
If the table has an index for the columns in question, MySQL can quickly determine the position to seek to in the middle of the data file without having to look at all the data.
This is much faster than reading every row sequentially.
MySQL uses indexes for these operations:
To find the rows matching a WHERE clause quickly
To eliminate rows from consideration. If there is a choice between multiple indexes, MySQL normally uses the index that finds the smallest number of rows (the mostselective index).
If the table has a multiple-column index, any leftmost prefix of the index can be used by the optimizer to look up rows. For example, if you have a three-column index on (col1, col2, col3), you have indexed search capabilities on (col1),(col1, col2), and (col1, col2, col3).
