An array stores elements in a sequential order from zero (or one) up to the size of the array (possibly minus one, if starting from zero). Arrays come from the classic days of computer programming performed with assembler code, where one would often have a base pointer (BP or BX) plus an index (SI or DI) plus a constant offset, if any.
To address the fourth element in an array, one would specify the BP of the array's initial index (index 0), then add an index to it. For example, add [bp+di], ax would add the contents of AX (a 16-bit register) to the memory location referenced by BP with DI added to it, both also 16-bit registers in classic assembler. Some languages, such as BASIC, ignored the zero index or used it for other purposes.
Arrays are generally fixed in size-- reallocation is necessary to increase or decrease the size of the array. They must also be initially allocated with some amount of memory before they can be used. Newer languages offer dynamic arrays, sometimes called vectors (a point with a line that has an infinite length) to represent arrays that automatically scale capacity as it is filled.
Hashes, in contrast, do not use traditional indexes; they are not represented by the bp + di model, but instead use objects as their indices. This leads to certain inconveniences, because objects are not necessarily sorted from smallest to largest, or lexicographical order, but simply by computed indexes based on the key's hash. Most languages smooth out this limitation by using b-trees (binary trees) to store the keys and their indices, so that iterations over the values of the hash are in key order, but this is not strictly a requirement.
Hashes have no maximum size, unlike traditional arrays. Increasing the size of the hash is a simple as assigning a new key a value. In this respect, they are similar to vectors, but they answer an important question: how does one find an element in a vector in constant time? The answer, of course, is that vectors must be traversed from the first index to the target index in order to find the value, so searches require linear time to find a value.
By using keys, the search complexity is reduced from linear time to constant time, offering a significant advantage on looking up data versus using a vector, linked list, or even an array of objects. Hashes use constant time look ups, just like an array does, but gives the added flexibility of specifying how the data is indexed, instead of just a number. This is especially useful for algorithms involving translating data (ETL) or looking up data that meets a certain criteria repeatedly in constant time, which can have a savings factor of hundreds or thousands times more than an array.
It makes a big difference because if you compared the hash: abcde.fg = hash 1 to abcdefg = hash 3 The results hash 1 and hash 3 are not equal.
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Period which specifies to a class using (.) or dot operator Where as hash or # specifies to id of a particular attribute of HTML tags
Linked list consists of data nodes each pointing to next in the list .An array consist of contiguous chunk memory of predetermined size
To implement a dictionary using a hash table, you can create a class HashTable that contains an array of linked lists (or buckets) to handle collisions. Each element in the array represents a hash index, where the key-value pairs are stored as nodes in a linked list. The hash function maps keys to indices in the array, allowing for efficient O(1) average time complexity for insertions, deletions, and lookups. Additionally, implement methods for adding, removing, and retrieving values associated with keys, along with a resizing mechanism to maintain performance as the number of entries grows.
The only difference is that the LinkedHashSet maintains the order of the items added to the Set but HashSet doesn't maintain any order.
It makes a big difference because if you compared the hash: abcde.fg = hash 1 to abcdefg = hash 3 The results hash 1 and hash 3 are not equal.
Not really anything. I've never heard of fancy hash browns but they sound more detailed and have a better taste.
Numeric array has numbers(+integers) that represent the values Associative array has strings that represent the values
When we declare an array of characters it has to be terminated by the NULL , but termination by NULL in case of string is automatic.
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Vectors are thread safe but array lists are not. Hence array lists are faster than Vectors.
The minimum absolute difference between any two elements in a given array is the smallest positive number that can be obtained by subtracting one element from another in the array.
The main difference between NFL and college hash marks on a football field is their width. In the NFL, the hash marks are narrower, measuring 18 feet 6 inches apart, while in college football, the hash marks are wider, measuring 40 feet apart. This difference affects the positioning of the ball for plays and can impact game strategies.
A Magician has a cunning array of stunts ...........................................................................
Using and gate - pla is programmable while pal is fixed
Period which specifies to a class using (.) or dot operator Where as hash or # specifies to id of a particular attribute of HTML tags