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Python Foundations: Data Structures and OOP Concepts

Mastering the Building Blocks of Python for Advanced Applications in AI, Data Science, and Django

Duraion: 2 Months
Fee: Rs.20000

Prerequisite knowledge:



Python Foundations: Data Structures and OOP Concepts

Unlock the full potential of Python with our comprehensive course, Python Foundations: Data Structures and OOP Concepts. Gain the essential skills and knowledge to become a proficient Python programmer and lay the groundwork for success in advanced AI, Data Science, and Django courses.

Course Highlights

  • Master Python Programming: Dive deep into the Python language and gain a solid understanding of its syntax, concepts, and best practices.

  • Data Structures Mastery: Explore a wide range of data structures, including lists, dictionaries, sets, stacks, queues, trees, and graphs. Learn how to effectively manipulate and store data for efficient problem-solving.

  • Object-Oriented Programming (OOP): Master the principles of OOP and harness its power to write modular, reusable, and maintainable code. Understand classes, objects, inheritance, encapsulation, and polymorphism.

  • Practical Applications: Apply your knowledge through hands-on projects and real-world examples. Gain practical experience in implementing data structures and OOP concepts to solve complex problems.

  • Preparation for Advanced Courses: Lay a strong foundation for advanced studies in AI, Data Science, and Django. Be well-prepared for the next level of your learning journey.

  • Experienced Instructors: Learn from industry professionals with extensive experience in Python programming and its applications in AI, Data Science, and Django.

  • Flexible Learning: Access course materials online at your own pace. Learn from anywhere, anytime, and fit your studies into your busy schedule.

Why Choose Python Foundations?

  • In-Demand Skill Set: Python is one of the most sought-after programming languages in the industry. Gain a competitive edge and open doors to exciting career opportunities.

  • Gateway to Advanced Domains: AI, Data Science, and Django are booming fields. Python Foundations will equip you with the necessary knowledge to excel in these areas and stay ahead in the digital era.

  • Hands-On Approach: Learn by doing. Engage in practical coding exercises, projects, and quizzes that reinforce your learning and allow you to apply concepts in real-world scenarios.

  • Career Advancement: Enhance your professional profile and increase your employability. Python Foundations serves as a stepping stone to advanced courses and career growth in high-demand industries.

  • Supportive Learning Community: Join a vibrant community of fellow learners. Collaborate, network, and exchange ideas with like-minded individuals passionate about Python programming.

  • Lifetime Access: Enjoy lifetime access to course materials, including updates and new content. Stay up-to-date with the latest advancements in Python and reinforce your knowledge whenever needed.

Don't miss this opportunity to build a strong foundation in Python programming, data structures, and OOP concepts. Enroll in Python Foundations: Data Structures and OOP Concepts today and embark on an exciting journey towards becoming a proficient Python developer.

Note: This course is suitable for beginners and intermediate learners who are familiar with programming basics. No prior experience in Python is required.

Course Modules


This training course is divided into several modules, each focusing on a specific aspect of Python programming, data structures, and OOP concepts. The modules covered in this course include:

Module 1: Introduction to Python Programming

  • Overview of Python as a programming language
  • Setting up the development environment
  • Basic syntax and language constructs

Module 2: Python Data Structures

  • Lists, tuples, and dictionaries
  • Sets and their applications
  • Stacks, queues, and linked lists
  • Trees and graphs

Module 3: Object-Oriented Programming in Python

  • Introduction to OOP principles
  • Classes, objects, and instances
  • Inheritance and polymorphism
  • Encapsulation and abstraction

Module 4: Applying Data Structures and OOP

  • Utilizing data structures for efficient data manipulation
  • Implementing algorithms using data structures
  • Creating modular and reusable code using OOP concepts
  • Design patterns for effective software development

Module 5: Advanced Topics and Applications

  • File handling and I/O operations
  • Exception handling and error management
  • Generators and iterators
  • Introduction to decorators

Module 6: Putting It All Together

  • Integrating Python, data structures, and OOP concepts in practical scenarios
  • Project-based assignments and exercises
  • Best practices and coding conventions

Throughout the course, you will have hands-on coding exercises, projects, and quizzes to reinforce your learning and practical application of the concepts covered.

Please note that the module order and topics can be tailored to suit the specific needs and requirements of the training course.

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