This Python refresher covers fundamental concepts, including integers, floating-point numbers, strings, lists, dictionaries, and boolean values. Python's dynamic typing and versatility make it accessible for all levels of programmers, laying the groundwork for more advanced Python programming.

Explore essential data structures, their significance, and practical usage in this comprehensive guide.

Learn how to analyse the Space Complexity of a given algorithm...

Learn how to analyse the Time Complexity of a given algorithm...

How do we express the runtime of a program ? Do we measure the runtime directly ? Does processor speed matter ?

States defined in custom hooks are local to their use in every component. Meaning updating state in one component doesn't reflect in another.