What Is Boolean Logical Operator?

TechDogs Avatar

Allow us to explain what Boolean Logical Operators are. Simply put, they are the instruments with which we compare and manipulate binary values in computer programming and digital logic circuits. Don't worry if you've never heard of binary; we'll explain it shortly. AND, OR, and NOT are the three primary Boolean Logical Operators. How about we take them apart, one by one? The operation of AND is simple: if both inputs are true, the result will also be TRUE. The AND operator takes two inputs and returns TRUE if both are true for the given expression. Both assumptions (A and B) must be TRUE for the result to be TRUE. No brainer, right? There is a bit more leeway with OR. Similarly, it takes two arguments and returns TRUE if both are true. The OR operator takes two inputs and returns TRUE if either is true or both are true. If both A and B are false, the OR operator will always give a false result. The word "not" differs from the other two in keyways. One input is required, and the output is the inverse of that input. As a result, if we input A and it is true, the NOT operator will return FALSE, while if it is false, it will return TRUE. If the input is ON, then NOT will turn it OFF, and likewise, if the input is OFF, then ON will be restored. Let's dive deeper into the world of binary now. Numbers in the binary system can only be a zero or a one. Since it is easy to understand and implement, binary is widely used in computer programming and digital circuitry. Each digit stands for a bit of a discrete chunk of data. For example, a binary number 1101 has four bits: two on the left and two on the right. Let's see this all come together with an illustration now. To illustrate, we want to compare two inputs, A and B, using Boolean Logical Operators. The binary representation of the letter A is 1011, and the binary representation of the letter B is 0101. The three main operators would be applied as follows: Since the only bit in both A and B that is TRUE is the rightmost bit, the result of ANDing the two is 0011. Since both A and B contain TRUE bits, the OR operation between them would produce the value 1111. NOTE: NOT A would return 0100 since it inverts all of A's bits, turning ones into zeros and ones into ones. There you have it! Although working with Boolean logical operators can be intimidating at first, it's quite enjoyable once you get the hang of it. So, my friend, start playing with those binary values with all the wit and merriment you can muster!

TechDogs Logo

Related Terms by Software Development

Sentiment Analysis

Sentiment analysis is a lot like having the ability to discern minds, except it's done with computers. Opinion mining is a data mining subfield that utilizes unstructured text analysis to gauge consumer sentiment toward a brand, individual, or concept. Sentiment analysis is a technique for gleaning emotional data from online sources using NLP, computational linguistics, and text analysis. Social media sites and other online forums where users post their thoughts and observations on various subjects are familiar places to find this data. Sentiment analysis uses complex algorithms and machine learning methods to identify a person's opinion's positive, negative, or neutral nature. As a bonus, it can determine whether the text is joyful, sad, angry, or anxious, as well as other emotions. The results of this analysis can be used to calculate the extent to which the public approves or disapproves of various brands, individuals, and concepts. Knowing the thoughts and preferences of customers can be invaluable to companies and organizations. A business may employ mood analysis to monitor customer feedback via social media and use the results to improve its offerings. The material's polarity in its context can also be revealed through sentiment analysis. It can tell you how people feel about a subject or entity and what it is about that subject or entity that people like or dislike. Sentiment analysis can show, for instance, that consumers have a generally positive attitude toward a given brand but a negative attitude toward its customer service. To sum up, sentiment analysis is a subfield of data mining that assesses consumer reaction to a brand, individual, or concept by examining written language. It's like having the ability to read thoughts, only this time, and it's accomplished through complex mathematical formulas stored in a computer. Sentiment analysis, or opinion mining, is a method for gleaning and analyzing biased data from online sources, such as social media and blogs. Data analysis can reveal the contextual polarity of information and provide quantitative estimates of the public's feelings or responses to specific goods, people, or ideas.

...See More

Self-Provisioning

If you're like most people, you're always looking for ways to get out of work. So when we heard about self-provisioning—the ability to set up services and applications by yourself without the help of a dedicated IT specialist or service provider—we were all over it. It's like having your server, except that instead of having to buy your server, pay for its maintenance, and hire an IT person to manage it when things go wrong, you sign up with a cloud provider who has already done everything for you. Moreover, they'll even let you use their servers for free! So if you have ever wanted to launch your website but didn't want to take on the burden of managing it yourself, or if you've been dreaming of starting an online business but didn't want to spend all that money on servers and software licenses well, now's your chance! Self-provisioning is excellent, but the self-de-provisioning part is even more significant. Provisioning is like getting a massage—you know what you want and are in charge of getting it. Deprovisioning is like getting a haircut—it's a little more complicated than telling someone what to do. It requires much attention to detail and technical skill to ensure you're not cutting off any substantial parts of yourself in your zeal to be smooth and sleek. We don't want you to be soft and elegant! We want you to be well-groomed! So here are some tips for taking care of yourself by taking care of your resources. Always deprovision after using a resource so that others can use it when they need it later. Only do something once you've found another that does what that other one did for you (and then de-provision the old one).

...See More

Secure Hash Algorithm (SHA)

Secure Hash Algorithm is a set of algorithms developed by the National Institutes of Standards and Technology and other government and private parties. Cryptographic hashes (or checksums) have been used for electronic signatures and file integrity for decades. However, these functions have evolved to address some of the cybersecurity challenges of the 21st century. The NIST has developed a set of secure hashing algorithms that act as a global framework for encryption and data management systems. The initial instance of the Secure hash Algorithm (SHA) was in 1993. It was a 16-bit hashing algorithm and is known as SHA-0. The successor to SHA-0, SHA-1, was released in 1995 and featured 32-bit hashing. Eventually, the next version of SHA was developed in 2002, and it is known as SHA-2. SHA-2 differs from its predecessors because it can generate hashes of different sizes. The whole family of secure hash algorithms goes by the name SHA. SHA-3, or Keccak or KECCAK, is a family of cryptographic hash functions designed by Guido Bertoni, Joan Daemen, Michaël Peeters, and Gilles Van Assche. SHA-3 competition to develop a new secure hash algorithm was held by the United States National Security Agency (NSA) in 2007. To be a super safe and fast hashing algorithm, SHA3 was developed from this contest. The evolution of cybersecurity has led to the development of several "secure hash algorithms." Security is a crucial concern for businesses and individuals in today's digital world. As a result, many types of encryption have been developed to protect data in various scenarios. One of these is hash algorithms. All secure hash algorithms are part of new encryption standards to keep sensitive data safe and prevent different types of attacks. These algorithms use advanced mathematical formulas so that anyone who tries to decode them will get an error message that they aren't expected in regular operation.

...See More

Join Our Newsletter

Get weekly news, engaging articles, and career tips-all free!

By subscribing to our newsletter, you're cool with our terms and conditions and agree to our Privacy Policy.

  • Dark
  • Light