Power Magnet Program

### 1. **Data Structures and Algorithms**    - **Topics:** Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Hash Tables, Sorting and Searching Algorithms.    - **Focus:** Explain how these structures and algorithms work, their time and space complexities, and their applications. ### 2. **Object-Oriented Programming (OOP)**    - **Topics:** Classes, Objects, Inheritance, Polymorphism, Encapsulation, Abstraction.    - **Focus:** Discuss how OOP principles help in designing scalable and maintainable code. ### 3. **Functional Programming**    - **Topics:** First-Class Functions, Pure Functions, Higher-Order Functions, Immutability, Closures.    - **Focus:** Explore the benefits of functional programming, such as code predictability and easier testing. ### 4. **Design Patterns**    - **Topics:** Singleton, Factory, Observer, Strategy, Decorator, Command.    - **Focus:** Describe common design patterns and how...

 Here's a deeper look into the key libraries and tools you mentioned: ### **1. Pandas** - **Overview:** Pandas is a powerful data manipulation and analysis library. It provides data structures like Series (1D) and DataFrame (2D) that are ideal for handling structured data. - **Key Features:**   - **Data Structures:** `DataFrame` and `Series` for handling tabular and time-series data.   - **Data Manipulation:** Functions for filtering, merging, grouping, and reshaping data.   - **I/O Operations:** Read and write data from/to various formats like CSV, Excel, SQL, and more.   - **Handling Missing Data:** Functions to handle and clean missing or duplicated data. - **Use Cases:** Data cleaning, transformation, and exploratory data analysis. ### **2. NumPy** - **Overview:** NumPy (Numerical Python) is a fundamental library for numerical computing. It provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to...