Data Structures And Algorithms

• Data Structures: A data structure is a technique of storing data in a computer so that it can be accessed and modified efficiently.
• Algorithms: An algorithm is a step-by-step instruction to perform a task.

Why Should I Learn Data Structures And Algorithms?

• Enhance your problem solving skills.
• Write efficient code that is performant and scalable.
• Specialized fields: machine learning, data science, artificial intelligence and other engineering fields deal with complex data and require efficient processing. To delve into such fascinating fields of engineering, having a firm grounding in data structures and algorithms is beneficial and in many cases required.

Can I Develop Applications Without Studying Data Structures And Algorithms?

Yes, sure. A lot of applications just store some data in a datastore, typically a relational database and have some procedures to show this data in a user interface, most commonly the web browser. The crux of such applications can be defined using the acronym CRUD. CRUD stands for Create, Read, Update and Delete. Often you are doing one of these CRUD functions in the context of persistent storage of your application: