Hi

I am assuming that you belong to general category.

NTA has declared the results but hasn't released the qualifying cut off marks yet.

>>>>>>> With 139 marks,

Your chances of getting any medical/dental college be it government or private is extremely low .

This is because,

In order to be eligible for getting admission in MBBS BDS etc even in private colleges for management quota seat or anywhere  you must qualify Neet examination but with your marks, your chances of qualifying neet is low.

This is very difficult to predict neet 2021 cut off as cut off marks keeps changing every year  depending upon various factors like :-

----------) number of students that appeared in the exam,

----------) kind of marks obtained by them ,

----------) toughness  level of the examination etc.

Anyway,

Cut off marks will be more or less similar to previous years and when we go through past year qualifying cut off trends then last 3 years qualifying cut off data is given below for reference :-

So,   for neet 2020 , general category student required at least 147 marks to qualify neet 2020 .   So, with 139 marks your chances of qualifying neet 2021 is  low   .

Still you need to wait for neet 2021 qualifying cut off release

For detailed information, visit

https://medicine.careers360.com/articles/neet-cut-off

After the qualifying cut off marks gets released, in case, if you manage to qualify then you can try for management quota seats in private colleges and in this our college predictor will help you.

Neet college predictor:- https://medicine.careers360.com/neet-college-predictor?icn=QnA&ici=qna_answer

After qualifying cut off release in case, if you fail to qualify then I would suggest you to prepare again for Neet examination and don't worry we have Neet knockout program which will help you at every step of your preparation , the link for the same is given below

https://learn.careers360.com/knockout-neet

Thank you

Dear,

A heap is a complete binary tree, and the binary tree is a tree in which the node can have utmost two children. Before knowing more about the heap data structure, you should know about the complete binary tree. A complete binary tree is a binary tree in which all the levels except the last level, i.e., leaf node should be completely filled, and all the nodes should be left-justified. There are two types of the heap:

• Min Heap
• Max heap

The value of the parent node should be less than or equal to either of its children. In other words, the min-heap can be defined as, for every node i, the value of node i is greater than or equal to its parent value except the root node. Mathematically, it can be defined as:

A[Parent(i)] <= A[i]

A heap is a tree-based data structure in which all the nodes of the tree are in a specific order. You can read certain articles on GeeksForGeeks for better understanding.

Hashing is the process of mapping large amount of data item to smaller table with the help of hashing function(A fixed process converts a key to a hash key is known as a hash function).Hashing is also known as Hashing algorithm or message digest function.It is a technique to convert a range of key values into a range of indexes of an array.It is used to facilitate the next level searching method when compared with the linear or binary search.Hashing allows to update and retrieve any data entry in a constant time O(1).Constant time O(1) means the operation does not depend on the size of the data.Hasing is used with database to enable items to be retrieved more quickly.It is used in the encryption and decryption of digital signatures.

Matrix is a way to store data in an organized form in the form of rows and columns.Mtrices are usually used in computer graphics to project 3 dimensional space onto a 2 dimensional screen.Matrices in the form of arrays are used to store data in an organized form.A matrix is a representation of certain rows and columns,to persist homogeneous data.It can also be called as double dimensioned array.The uses of matrix are to represent class hierarchy using Boolean square matrix,for data encryption and decryption,To represent traffic flow and plumbing in a network,to implement graph theory of node representation.

A Graph is a non-linear data structure consisting of nodes and edges. The nodes are sometimes also referred to as vertices and the edges are lines or arcs that connect any two nodes in the graph.Graphs are used to solve many real-life problems. Graphs are used to represent networks. The networks may include paths in a city or telephone network or circuit network. Graphs are also used in social networks like linkedIn, Facebook. For example, in Facebook, each person is represented with a vertex(or node). Each node is a structure and contains information like person id, name, gender, locale etc.

In computer science, a tree is a widely used abstract data type that simulates a hierarchical tree structure, with a root value and subtrees of children with a parent node, represented as a set of linked nodes. A tree data structure can be defined recursively as a collection of nodes (starting at a root node), where each node is a data structure consisting of a value, together with a list of references to nodes (the "children"), with the constraints that no reference is duplicated, and none points to the root. Alternatively, a tree can be defined abstractly as a whole (globally) as an ordered tree, with a value assigned to each node. Both these perspectives are useful: while a tree can be analyzed mathematically as a whole, when actually represented as a data structure it is usually represented and worked with separately by node (rather than as a set of nodes and an adjacency list of edges between nodes, as one may represent a digraph, for instance). For example, looking at a tree as a whole, one can talk about "the parent node" of a given node, but in general, as a data structure, a given node only contains the list of its children but does not contain a reference to its parent (if any).

A list is an ordered data structure with elements seprated by a comma and enclosed within square brackets.

For example:List 1 and List 2 here contains a single type of data:

List 1=[2,3,4,5,6]

List 2=['Python','is','Awesome']

Here,list 1 has integers while list 2 has strings.Lists can also store mixed data types as shown in lost 3

List 3=[1,'Python',2,'is',3'Awesome']

Hi,

A list in computer is an ordered data structure with a number of elements that are separated by a comma and are enclosed within square brackets .  For example, list1 and list2 below contains a single type of data. Here, list1 has integers while list2 has strings. Lists can also store mixed data types as shown in the list3 here.

List 1- [1,2,3,4,5]

List 2- [ 'Python', 'Java', 'C++']

List 3- [1, 'Python', 2, 'Java', 3]

I hope this helps,

All the best

A Queue is a linear structure which follows a particular order in which the operations are performed. The order is First In First Out (FIFO). An example of a queue is any queue of consumers for a resource where the consumer that came first is served first. The difference between stacks and queues is in removing. In a stack we remove the item the most recently added; in a queue, we remove the item the least recently added.

Dear,

Understanding of data structures is very important. Stacks, Queues, Linked Lists, Graphs are various Data Structures. Stack is kind of data structure which follows LIFO concept. LIFO basically means Last In First Out which means that the element that is added last into the stack will be popped out first. The elements are added from the beginning and deleted from the same end. A pile of books, a stack of dinner plates, a box of pringles potato chips can all be thought of examples of stacks. The basic operating principle is that last item you put in is first item you can take out. That is, that a stack is a Last In First Out (LIFO) structure.

Hope this helps!