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RoadMap of Python Programming • Start with Python basics by learning syntax, variables, and data types. Move on to control structures like loops and functions to manage code flow. Next, explore data structures (lists, dictionaries, sets) for efficient data handling. Learn file operations and error handling to work with files and debug code. Master Object-Oriented Programming (OOP) concepts, then dive into popular libraries for data science like NumPy and Pandas. For web applications, explore Flask or Django. Automate tasks with scripting, and build ML models with Scikit-Learn. Conclude with advanced Python features like generators and decorators, and apply your skills in real-world projects. • #PythonProgramming #PythonRoadmap #DataScience #MachineLearning #OOP #WebDevelopment #Automation

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