Good problem-solving is necessary today, and Python is one of the most widely used languages mainly because of its readability and succinctness. In this course, “Advanced Algorithmic Thinking with Python,” Robin Andrews explains algorithmic thinking in the form of different puzzles, more problems, and theoretical factors to enhance and develop one's skills. Before you do, it’s best to read up on a sample problem and introduction for the divide and conquer strategy, along with a look into the Quicksort algorithm, all supplemented with puzzles. Robin also explains the transform and conquer strategy that entails applying processes to data before solving problems and provides more exercises to solve.
Robin also covers dynamic programming where, for each problem, he provides a solution using both top-down and bottom-up approaches with solved problems. He also expounds about hash tables and how one can apply them when solving problems in Python. This course is devoted to “Advanced Algorithmic Thinking with Python,” which aims to improve your problem-solving skills and expand your algorithmic thinking knowledge by employing the aid of the multifaceted and efficient tool of Python programming language.
Advanced Algorithmic Thinking with Python Table of Contents:
- Introduction
- Warmup
- Divide and Conquer
- Transform and Conquer
- Dynamic Programming
- Hash Tables
- Conclusion
Who is this course for?
- Those Students and programmers who wish to enhance their problem-solving abilities.
- Practice for Python developers who want to build strong algorithms.
- People with a vested interest in real-world usages of decision-making algorithms pursued in CS education.
- Aspirants are looking for interview calls from technology companies.
- Anyone who wants to gain knowledge of advanced algorithms and data structures.
Click on the links below to Download Advanced Algorithmic Thinking with Python!
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