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What You Will Learn:
Foundations of Python: Understand the basics of Python programming, including syntax, variables, and data types. Learn how to write, debug, and execute Python scripts. Data Structures and Algorithms: Master Python's built-in data structures such as lists, dictionaries, and sets. Implement algorithms for sorting, searching, and manipulating data efficiently. Object-Oriented Programming (OOP): Gain proficiency in OOP concepts like classes, objects, inheritance, and polymorphism, which are crucial for developing complex and modular programs. File Handling and I/O Operations: Learn how to read from and write to files, manage file directories, and handle exceptions for robust file operations. Libraries and Frameworks: Explore essential Python libraries such as NumPy, Pandas, Matplotlib, and Seaborn for data manipulation and visualization. Get an introduction to web frameworks like Flask and Django. Data Science and Machine Learning: Dive into data analysis and visualization. Use Scikit-learn for building and evaluating machine learning models. Project Development: Apply your skills in real-world scenarios with hands-on projects. Develop a comprehensive capstone project that showcases your mastery of Python.