United States
United States
Data Structures and Algorithms in Python is an introductory course to computer science and software engineering concepts related to data structures and algorithms, with a primary focus on development of algorithms in Python. This course provides students with an in-depth understanding of the core concepts and techniques used to design and implement algorithms using the Python programming language.
Students will learn data structure principles, such as linked lists, stacks, queues, priority queues, heaps, and hash tables, as well as sorting and searching algorithms, such as insertion, selection, quick sort, and binary search. The course also covers string algorithms and graph algorithms, including breadth-first search and Kruskal's algorithm. Finally, advanced topics including dynamic programming and graph theory are discussed in detail.
The course is suitable for beginners who want to get a deeper and more focused understanding of computer science and software engineering concepts related to data structures and algorithms. It is also suitable for more experienced programmers who want to gain a more comprehensive knowledge of the topic. Students will come away from this course with a solid foundation of data structures and algorithms in Python.
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The prerequisites for Data Structures and Algorithms in Python training typically involve having a basic understanding of programming fundamentals such as variables, conditions, loops, functions, classes, and data types. Experience with the Python programming language is also necessary for taking this course. Additionally, familiarity with basic concepts of computer science such as complexity analysis and recursion may be beneficial.
Data structures and algorithms in Python training can be targeted to many audiences. Students, either in high school or college, who are interested in learning computer science topics or preparing for programming interviews would be a main target audience. Experienced software engineers or developers, who want to add to or sharpen their programming skills, can also benefit from the course. Additionally, scientists and researchers who work with data and need to use specialized algorithm analysis to analyze, interpret, and process data can also benefit from these courses. The training would benefit anyone interested in learning about, gaining an understanding and expertise of, and implementing the fundamental principles, approaches, and tools used to represent, store, and process data in efficient and effective ways.
Data Structures and Algorithms in Python training focuses on teaching students the fundamentals of data structures and algorithms. This training provides a comprehensive understanding of different data structure and algorithm implementations in Python. Students will learn the fundamental principles and the basics of the algorithms in Python. They will also learn how to implement various types of data structures and algorithms on real-world problems. After completing this training, students will gain strong problem-solving and coding skills, enabling them to effectively tackle computational problems related to data structures and algorithms. Moreover, they will gain exposure to a variety of topics including recursion, big-O notation, sorting algorithms, dynamic programming, graph and tree traversal, searching algorithms and their implementation in Python.
