Data Structures and Algorithms

Data structures like arrays, strings, and hashmaps are available by default in most programming languages. They facilitate storage of large amounts of data in an efficient format which makes it easier (and sometimes relatively faster) to access during runtime. Arrays An array is a sequential store of data (referred to as elements). In languages like Python, an array can store elements with multiple data types, like, [1, "Hello, World", True] but for languages like Go, C++, and Java an array can store elements of a singular data type....

While programming allows us to create virtually anything, the true test of performance arises when we deploy the same code on a significantly larger scale. Time Complexity ($T(n)$) is a function that estimates the execution time of an algorithm given the amount of data to be processed as its input ($n$). It is a common benchmark used to measure an algorithm’s performance. Bounds of Time Complexity The output of the time complexity function will be a close estimate of an algorithm’s runtime given the size of its input but it does not consider other characteristics of the input that could affect its runtime....