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Python is a widely used, high-level, general-purpose, interpreted, dynamic programming language. Having a basic familiarity with the programming language used on the job is a prerequisite for quickly getting up to speed.
When designing and/or analyzing an algorithm or data structure, it is important to consider the performance and structure of an implementation. Algorithmic thinking is one of the key traits of a good programmer, especially one working on complex or performance-critical code.
A dictionary (or associative array) is a data type composed of a collection of key-value pairs, where each possible key appears at most once in the collection. It is used when we need to access items by their keys.
Every programmer should be familiar with data-sorting methods, as sorting is very common in data-analysis processes.
A queue is a collection of items that are maintained in a sequence and can be modified by the addition of entities at one end of the sequence and removal from the other end of the sequence. It is the collection to be used when first-in-first-out (FIFO) collection is needed.
A set is a collection of distinct objects. It's one of the most used types of collection, alongside arrays, lists, and maps. There are many different types of set, each with multiple specific optimizations and use cases. It is, therefore, one of the most important collections for a developer to be familiar with.
Lists are collections that act as dynamic arrays. Lists offer the flexibility of dynamically sized arrays, the simplicity of access of arrays, and are more performant than more ubiquitous collections in most scenarios.
A tree is a hierarchical structure defined recursively starting with the root node, where each node is a data structure consisting of a value, together with a list of references to other nodes (the "children"). A lot of problems can be solved efficiently with trees, which makes them important for developers.
Many real-life situations are best modeled by graphs. Therefore, an in-depth knowledge of graph data structures is important for a good programmer.
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