AI/ML

Master complex Python programming. Implement advanced data structures, optimize algorithm efficiency, and solve real-world problems with code.

Live batches with a trainer · Level: Advanced · Duration: 8 weeks · Language: English · Fee: ₹499

About this course

Take your programming skills to the next level with this comprehensive course on Advanced Python and Data Structures. Designed for developers looking to transition from basic scripting to writing highly efficient, production-ready software, this course bridges the gap between language syntax and computer science fundamentals.You will dive deep into advanced object-oriented programming, memory management, and structural optimization. By mastering core algorithmic concepts and custom data structures, you will learn how to write scalable code that minimizes time complexity and maximizes execution speed. Complete with hands-on projects, structural visualization exercises, and real-world coding challenges, this course equips you with the technical expertise demanded by top-tier tech companies.

What you will learn

  • Analyze algorithm performance using Big O notation for time and space complexity.
  • Build custom, low-level data structures including Linked Lists, Stacks, and Queues from scratch.
  • Implement complex structures like Binary Search Trees, AVL Trees, Graphs, and Hash Tables.
  • Leverage advanced Python features including decorators, generators, dunder methods, and metaclasses.
  • Design and implement efficient sorting and searching algorithms for large datasets.
  • Apply advanced programming patterns to optimize code speed and system memory usage.

Requirements

  • Solid foundational knowledge of basic Python syntax (variables, loops, conditional statements).
  • Familiarity with basic built-in data types like lists, dictionaries, and tuples.
  • A computer running Windows, macOS, or Linux with Python 3.10+ installed.

Syllabus

  • Module 1: Performance Analysis & Foundations
  • Module 2: Advanced Pythonic Concepts
  • Module 3: Linear Data Structures
  • Module 4: Non-Linear Data Structures (Trees & Graphs)
  • Module 5: Hashing & Efficiency

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