資料結構線上課程推薦、台大資料結構、資料結構ptt在PTT/mobile01評價與討論，在ptt社群跟網路上大家這樣說
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資料結構線上課程推薦在[請益] 請推薦資料結構與演算法書籍或線上課程- Soft_Job的討論與評價
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What is the best coding language to learn data structures? Data structures are not language-specific, so the data structures selected for individual coding projects depend a lot on what they are being used for. C, C++, Java, and Python are some of the most popular coding languages to learn data structures, but your decision should be based on what each language is best designed for. Many professionals say that C and C++ are the easiest. C++, in particular, is good for software that needs to run quickly and work directly with a computer's CPU and memory. It also is common in gaming because of its speed. Java, on the other hand, is the foundation for Android development and web and desktop apps. Python is commonly used for developing websites and software, task automation, data analysis, and data visualization. So there is no single language best suited for learning data structures. It's best to determine which field you plan to work in and master the language best suited for that application. Why are data structures important for coding interviews? During coding interviews, familiarity with various data structures is important because the solution to most problems in coding lies in selecting the optimal data structure to provide the required solution. Candidates must do more than simply memorize different data structures since interviews will likely test their knowledge of the principles and functions of data structures as well as their ability to manipulate the data structure to provide coding solutions. It's not enough, for example, to know that arrays and stacks are two types of data structures and their basic use. You may be asked to rearrange the positive and negative values in an array — or sort the values in a stack. If a coder wants to excel in their current position or apply for another one, they must demonstrate more than just a basic use of data structures in programming. They need to display a certain intuition in selecting and applying data structures to the solution of complex problems.
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