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Grokking Dynamic Programming: A Deep Dive Using Python

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level

Intermediate

Duration

25h

Lessons

53 Lessons

Polish your programming skills by learning dynamic programming using Python and various dynamic programming patterns asked in interview questions.

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Some of the toughest questions in technical interviews require dynamic programming solutions. Dynamic programming (DP) is an advanced optimization technique applied to recursive solutions. However, DP is not a one-size-fits-all technique, and it requires practice to develop the ability to identify the underlying DP patterns. With a strategic approach, coding interview prep for DP problems shouldn’t take more than a few weeks.

This course starts with an introduction to DP and thoroughly discusses five DP patterns. You’ll learn to apply each pattern to several related problems, with a visual representation of the working of the pattern, and learn to appreciate the advantages of DP solutions over naive solutions.

After completing this course, you will have the skills you need to unlock even the most challenging questions, grok the coding interview, and level up your career with confidence.

This course is also available in C++, JavaScript, and Python—with more coming soon!

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Grokking Dynamic Programming: A Deep Dive Using Python
Grokking Dynamic Programming: A Deep Dive Using Python
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