After taking several courses in computer programming, you have now made it to the critical juncture, data structures! This course is often the gateway to many of the upper-level courses in computer science, and likewise is often the litmus test to see if someone has sufficient abilities as a programmer to make it through the rigors of majoring in computer science. While the content of this course can be extremely interesting, and is an essential component of programming, studying under the wrong teacher can make data structures become a nightmare.
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Data structures combine a number of themes, including advanced lists, trees, hash-tables, and sometimes even advanced algorithms, such as sorting, searching, and data storage. Although many contemporary programming languages handle the nuts and bolts of data structures implementation, it is critical that you know the basic outlines of the different types of data structures and how they are to be implemented without the help of code libraries. Such structures are often replicated in logic that extends beyond mere classroom exercises, and if you do not know how to implement said algorithmic exercises, it will be impossible for you to implement the more important and difficult higher-level algorithms. Ultimately, this presents a great detriment in all areas of computer science study and work, from courses in artificial intelligence to database development.
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