JSON comes with a lot of benefits, which is the reason why many web services provide data either in both XML and JSON, or just JSON.
Some of the benefits include:
obj = JSON.parse(<json string>);Benefits of JSON was originally found on Access 2 Learn
Assistant Professor
Walter Wimberly is an Assistant Professor at a regional college in Tennessee, teaching Computer Science in the Software Engineering track. He works as a student advisor, oversees curriculum changes, develops new courses, and manages the advisory panel.
Walter taught full time for about 7 years, before going back into “industry” as a full stack Software Developer for a dozen years. There he focused on web based projects coding in JavaScript/jQuery and utilizing the Bootstrap CSS Framework on the front-end, and coding in PHP, ASP/ASP.Net, SQL on the back-end.
Since he loves teaching, he taught as an adjunct web and digital media classes for eight (8) years, while working in industry, and has since returned to teaching full time.
He has been married for over 25 years, and is father to several special needs boys. As such, he is working on some projects to help others who have special needs to be self-sufficient, and support the care givers of those with special needs. Check out his Autism blog for more info.
If our data is pre-sorted then a binary search starts to make a lot of sense. It is like the guessing game we mentioned earlier where you need to find a number between 1 and 100. No one asks for 1, then 2, then 3… until they find it. Instead we ask for the mid…
Password entropy predicts how difficult a given password would be to crack through guessing, brute force cracking, dictionary attacks or other common methods. Entropy essentially measures how many guesses an attacker will need to make to guess your password. As computing power increases, the amount of time required to guess passwords decreases, in many cases significantly especially…
After a Constant Time Algorithm, and the Logarithmic Algorithms, the linear algorithm, often referred to as an O(n) algorithm in the Big O notation, is the next fastest. When an algorithm has a time complexity of O(n) the algorithm increases linearly with the size of the input. Inputs are often thought of as an array,…
The first, and one of the most common methods to search is using a breadth first search (BFS) pattern. In this case, you start at the root node of the tree, and evaluate the first child determining if you have a match. If not, you move to its sibling and then the next, until there…
When we look at transferring data we have to know how we want to format that data to transfer. A common, simple, file allows for it to easily be written from one system and read by another. But we didn’t always have a simple format that could be used for this purpose. We’d like to…
An exponential O(2^n) algorithm is a type of algorithm that has a time complexity of O(2^n), where ‘n’ represents the size of the input data. This means that the running time of the algorithm increases exponentially with the size of the input. While we often see it written as 2n, the numeric value can actually…
