Overview of Data structure
A data structure is a method of organizing data in a computer to make it more usable. In Computer Science, arrays, linked lists, stacks, queues, graphs, hash tables, and other data structures are used. Each data structure serves a specific purpose and fulfills a specific requirement. The algorithm is a step-by-step technique described as a series of instructions that must be performed in a specified order in order to create the desired result for the given input. The algorithm is generally created independently of required languages such as C, C++, Python, etc.
Data types are the fundamental elements in data classification. Data types are used in information transmission between the programmer and the compiler. There are various data types. They are listed below.
Computer programs have three types of data: numbers, text, and booleans. A boolean is a data type whose value can be either false or true, positive or negative. A boolean data type demonstrates whether the data is valid or invalid. The binary system employs the numbers 0 and 1. Boolean expressions are used to express algebraic, logical, and binary variables.
The integer data type stores both positive and negative numbers and zero. In order to maintain precision, the integer data type employs all of these integers. All arithmetic operations can be performed efficiently using integer data types. If the data value exceeds the integer’s numerical range, the database server will be unable to store the value. On the other hand, integer data types require four(4) bytes of storage per value.
A floating-point data type uses a formula to approximate real values, allowing for a trade-off between range and precision. Systems with extremely small and very large real numbers frequently use floating-point calculation due to the need for fast processing speeds. In a fixed base, an exponent is typically used to scale a number and approximate its representation to a certain number of significant digits. A detailed explanation of this concept can be found in a data structure and algorithm online course.
Fixed point number
In digital electronics, binary words are used to store numbers. A binary word is a fixed-length string of bits (1s and 0s). The data type determines how hardware elements and software processes interpret these 1s and 0s. Binary numbers are divided into two data types: fixed-point and floating-point. Fixed-point data formats in both signed, and unsigned formats are available. There is no indication, bit. As a result, the binary word does not usually express explicitly whether a fixed-point value is signed or unsigned. In contrast, the computer’s architecture implicitly defines the sign information.
The CHAR data type stores character information in a fixed-length field. Data can be a string of letters, integers, and other characters supported by your database locale’s code set, whether single-byte or multibyte characters.
Pointers are used to manage and store dynamically allocated memory blocks. In such alliances, data objects or arrays of objects are stored. Objects are dynamically allocated on the heap or free store, which is a memory area given by the majority of structured and object-oriented languages.
A string data type is made up of a series of characters that can be either a literal constant or a variable. The latter can have a fixed length or allow its elements to change (after creation). An array data structure of bytes (or words) is frequently used to create a string, which is commonly thought of as a type of data and contains a series of items, typically characters, encoded in some way.
Classification Of Data Structures
Linear and nonlinear
Linear structures, such as those found in an array, list, or queue, arrange data in a linear sequence. The data in nonlinear structures do not form a sequence but rather connect to two or more information items, as in a tree or graph.
Static and Dynamic
Static structures, as the name implies, are composed of fixed, permanent structures and sizes at compile time. The array stores a predetermined amount of reserve memory that the programmer allocates ahead of time. Dynamic structures have non-fixed memory capacities that shrink or expand as the program, and its execution requirements dictate. Furthermore, the location of the associated memory can shift.
Homogenous and Non-Homogenous
Like array element collections, homogenous data structures are made up of the same data element type. The data in non-homogeneous structures, such as structures, do not have to be of the same type.
Data structures are critical for every IT professional. DSA questions are asked in almost all IT interviews. As a result, mastering them is very important. You can check out the data structures and algorithm courses to help you acquire the in-demand DSA skills.