Python Searching & Sorting Algorithms - A Practical Approach
Learn Python searching & sorting algorithms! Build projects & see how they work with animations. Master efficient data handling.
Course Content
Python Searching & Sorting Algorithms - A Practical Approach is an all-levels Udemy course taught by Estefania Cassingena Navone. It runs 6h 10m, is taught in English, and includes a certificate of completion. Learners rate it 4.7 out of 5 from 69 reviews, with 792 students enrolled. It is a paid course, last updated July 2022.
Master Searching and Sorting Algorithms in Python and unlock a deeper understanding of computer science fundamentals. This comprehensive course provides a visual and practical approach to implementing essential algorithms, empowering you to confidently tackle technical interviews and enhance your computational thinking.
What You'll Learn:
- Implement Core Algorithms: Gain hands-on experience implementing fundamental searching algorithms and sorting algorithms in Python.
- Understand Algorithm Internals: Go beyond syntax! Relate each line of code to the actual workings of the algorithms as they execute. Visualize the process and understand why they work.
- Algorithm Comparison: Learn to compare different algorithms based on their efficiency and choose the best fit for various scenarios.
- Apply to New Problems: Develop the ability to apply searching and sorting techniques to solve novel problems.
- Boost Your Career: Solidify your foundation in algorithms – a crucial skill for any developer and a frequent topic in technical interviews.
- Enhance Computational Thinking: Improve your problem-solving skills and develop a deeper understanding of how computers process information.
Course Content & Overview:
Dive into the world of algorithms with high-quality video lectures featuring graphics and animations. You'll learn:
- Linear Search: Understand the basics of sequential searching.
- Binary Search: Master the efficient algorithm for sorted data.
- Bubble Sort: Learn a simple sorting algorithm.
- Selection Sort: Explore another straightforward sorting method.
- Insertion Sort: Understand how to build a sorted list incrementally.
- Merge Sort: Discover a powerful divide-and-conquer sorting algorithm.
- Quicksort: Learn a highly efficient sorting algorithm.
- Time Complexity Analysis: Use the
timeitmodule to measure algorithm performance.
Learning Materials & Practice:
- 1,050+ PDF Slides: Comprehensive visual summaries of each algorithm.
- 96+ Quiz Questions: Test your knowledge and receive instant feedback.
- 23+ Downloadable Python Files: Implementations with carefully designed print statements to visualize execution.
- 10+ PDF Handouts: Graphical and detailed summaries of each algorithm.
- 10 Coding Exercises: Practice implementing and applying the algorithms.
- 9 Mini Projects: Deepen your understanding by explaining algorithm steps with sample inputs.
Why This Course Is Unique:
This course distinguishes itself through its emphasis on visual explanations and detailed insights into algorithm execution. You won't just learn how to implement algorithms; you'll understand how they work step-by-step.
- Code with Print Statements: See the algorithms in action with downloadable Python files containing print statements.
- Unique PDF Handouts: Specialized handouts with graphical descriptions of each algorithm.
- Quick Refresher: A dedicated section covering lists, tuples, and algorithmic time complexity.
- Interactive Quizzes: Test your understanding with instant feedback and thought-provoking questions.
- Offline Access: Downloadable PDF slides for learning on the go.
- Mini Projects for Interview Prep: Practice explaining algorithm steps – a key skill for technical interviews.
Ready to add Searching and Sorting Algorithms in Python to your skillset? This engaging, visual, and practical course will equip you with the knowledge and confidence to excel in your career. Watch the preview lectures and explore the full curriculum today!
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