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Data Structures and Algorithms : the Complete Masterclass /
Get ready to solve modern computing problems with data structures and algorithms About This Video Understand the fundamentals of data structures and algorithms Learn how to implement data structures and algorithms in the real world using Python Prepare for your job interview by getting acquainted wi...
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| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
Packt Publishing,
2021.
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| Edición: | 1st edition. |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
| Sumario: | Get ready to solve modern computing problems with data structures and algorithms About This Video Understand the fundamentals of data structures and algorithms Learn how to implement data structures and algorithms in the real world using Python Prepare for your job interview by getting acquainted with some common interview questions In Detail With the knowledge of data structures and algorithms at your fingertips, you can write efficient computer programs to solve real-world problems. This course will help you to get up and running with data structures and algorithms in no time. The course starts by explaining the concepts of complexity analysis and big O notation. Next, you will become familiar with the concepts of memory and logarithms. Moving along, you will get a solid understanding of data structure concepts, such as arrays, linked lists, stacks, queues, hash tables, trees, heaps, and graphs. Next, you will understand what recursion is and get to grips with a variety of basic and advanced algorithms, such as searching, sorting elementary, sorting advanced, tree traversal, and graph traversal. Towards the end, you will go through a set of interview questions that will enhance your knowledge of data structures and algorithms and prepare you for job interviews. By the end of this course, you will have gained exceptional knowledge of data structure and algorithms and will have developed skills to apply in the real world. |
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| Descripción Física: | 1 online resource (1 video file, approximately 19 hr., 53 min.) |
| ISBN: | 9781801078504 1801078505 |