skilldevelopment.cpe@lpu.co.in

What you'll learn

Identify core Python syntax and memory models to solve algorithmic problems with mathematical precision and efficiency. Implement advanced modular programming using custom functions and packages. Apply Object-Oriented paradigms and advanced data structures to architect scalable solutions. Validate code efficiency and logic by optimizing algorithms to pass competitive-level test cases standard in top-tier technical interviews.

  • This session introduces Python programming, guides learners through installing VS Code, and explains how Python manages memory during execution. variable behavior, data storage, and runtime flow in Python programs.
  • This session introduces Python’s operators and expressions, enabling learners to perform arithmetic, logical, and comparison operations. It also covers conditional statements (if, elif, else) with practical examples to build decision-making logic
  • Master flow control by implementing complex decision-making logic using If-Else and Match-Case structures. Learn to automate repetitive tasks efficiently using While and For loops to build dynamic, data-driven solutions.
  • Gain proficiency in organizing and retrieving data using core structures like Lists, Dictionaries, and Sets for optimized performance. Master advanced string manipulation techniques including slicing and formatting to process and clean text data effectively.
  • Introduction to functions, modules, and recursion with an emphasis on code reusability, modular program design, and problem decomposition. Students will learn function definitions, parameter passing, importing modules, and applying recursion to solve problems efficiently.
  • Introduction to Object-Oriented Programming concepts including classes, objects, inheritance, polymorphism, abstraction, and encapsulation. Focus on designing real-world models, improving code maintainability, and implementing OOP principles through practical examples
  • Covers advanced Python libraries for data analysis and scientific computing, including NumPy for efficient array operations and Pandas for data manipulation and analysis. Introduces data visualization techniques using Matplotlib and Seaborn to create meaningful, publication-quality plots and insights from data
  • This session introduces Python programming, guides learners through installing VS Code, and explains how Python manages memory during execution. variable behavior, data storage, and runtime flow in Python programs.
  • This session introduces Python’s operators and expressions, enabling learners to perform arithmetic, logical, and comparison operations. It also covers conditional statements (if, elif, else) with practical examples to build decision-making logic
  • Master flow control by implementing complex decision-making logic using If-Else and Match-Case structures. Learn to automate repetitive tasks efficiently using While and For loops to build dynamic, data-driven solutions.
  • Gain proficiency in organizing and retrieving data using core structures like Lists, Dictionaries, and Sets for optimized performance. Master advanced string manipulation techniques including slicing and formatting to process and clean text data effectively.
  • Introduction to functions, modules, and recursion with an emphasis on code reusability, modular program design, and problem decomposition. Students will learn function definitions, parameter passing, importing modules, and applying recursion to solve problems efficiently.
  • Introduction to Object-Oriented Programming concepts including classes, objects, inheritance, polymorphism, abstraction, and encapsulation. Focus on designing real-world models, improving code maintainability, and implementing OOP principles through practical examples
  • Covers advanced Python libraries for data analysis and scientific computing, including NumPy for efficient array operations and Pandas for data manipulation and analysis. Introduces data visualization techniques using Matplotlib and Seaborn to create meaningful, publication-quality plots and insights from data

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Abrar Ahmed Raza
Assistant Professor

An expert Python trainer with over 5-years of experience, specializing in guiding learners from foundational basics to advanced technical proficiency. Excels at demystifying complex algorithms through intuitive analogies, visual, and rigorous hands-on exercises. He excels at simplifying complex topics through analogies, visual aids, and hands-on exercises. With expertise spanning programming, data analysis, and applied AI/ML.


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Indu Bala
Assistant Professor

A dedicated Python programming trainer with 3-years of teaching experience, committed to helping students build strong coding foundations. He has successfully guided learners through Python basics, problem-solving techniques, and practical applications. With a focus on interactive sessions and hands-on practice, he ensures students gain confidence, develop industry-ready skills, and achieve academic success.