Python has two very similar operators for checking whether two objects are equal. These two operators are is and ==.
They are usually confused with one another because with simple data types, like ints and strings (which many people start learning Python with)
In this tutorial, we'll be covering the any() and all() functions in Python.
The any(iterable) and all(iterable) are built-in functions in Python and have been around since Python 2.5 was released. Both functions are equivalent to writing a series of or and
In this article, we'll be diving into the idea behind and Python implementation of Binary Search.
Binary Search is an efficient search algorithm that works on sorted arrays. It's often used as one of the first examples of algorithms that run in logarithmic time (O(logn)) because of its
The map(), filter() and reduce() functions bring a bit of functional programming to Python. All three of these are convenience functions that can be replaced with List Comprehensions or loops, but provide a more elegant and short-hand approach to some problems.
Before continuing, we'll go over a few things
For most people, Bubble Sort is likely the first sorting algorithm they heard of in their Computer Science course.
It's highly intuitive and easy to "translate" into code, which is important for new software developers so they can ease themselves into turning ideas into a form that
Heap Sort is another example of an efficient sorting algorithm. Its main advantage is that it has a great worst-case runtime of O(n*logn) regardless of the input data.
As the name suggests, Heap Sort relies heavily on the heap data structure - a common implementation of a
Merge Sort is one of the most famous sorting algorithms. If you're studying Computer Science, Merge Sort, alongside Quick Sort is likely the first efficient, general-purpose sorting algorithm you have heard of. It is also a classic example of a divide-and-conquer category of algorithms.
The way Merge
If you're majoring in Computer Science, Insertion Sort is most likely one of the first sorting algorithms you have heard of. It is intuitive and easy to implement, but it's very slow on large arrays and is almost never used to sort them.
Insertion sort is often illustrated by
