This rigorous learning path extends your Python programming proficiency from intermediate to advanced level. It's dedicated to refine your knowledge and application of sophisticated algorithms, complex data structures and efficient implementation strategies.
Multidimensional Arrays and Their Traversal in Python
5 lessons
25 practices
Brush up on your knowledge of multidimensional arrays and their traversal techniques. This course will equip you with the skills to manipulate multidimensional arrays, transposing rows and columns, and iterating over nested elements.
Revision of Python HashMaps and Their Use in Practice
4 lessons
Course 3
Master Splitting Advanced Tasks into Smaller Pieces with Python
4 lessons
Course 4
Master Dictionaries, Two Pointers, and More Algorithms in Python
5 lessons
Course 5
Maximized Efficiency in Problem Solving Techniques in Python
5 lessons
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Data Scientist
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20 practices
Enhance your comprehension and use of hashmap data structures while focusing on its application in counting and aggregation tasks. This exploration will deepen your understanding of their efficient data access and manipulation capabilities.
Learn how to break down complex tasks into manageable sub-tasks. This course will help you master the skills necessary to effectively structure, divide, and implement each part of advanced coding problems. You'll also focus on merging sub-task solutions into a cohesive whole.
Delve into the essentials of optimal programming algorithms involving HashMaps, HashSets, and two-pointer techniques. Enhance your skills in data structure optimization and streamline problem-solving methods.
This comprehensive course incorporates unique problem-solving approaches and analyzing techniques that extend beyond core programming. Topics include optimizing brute force methods, dealing with combinatorial problems, and utilizing heaps and sorted lists effectively.
