Python Programming Course Content covering Basic to Advanced levels. This structure is ideal for learners aiming to build a solid foundation and grow into advanced Python roles like automation engineer, data analyst, backend developer, or ML engineer

• Module 1: Python Basics

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  What is Python? Installing Python & IDEs (PyCharm, VS Code, Jupyter) Python vs Other Languages Writing your first Python program

• Module 2: Control Flow and Loops

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  Conditional Statements (if, elif, else)Loops: for, whileLoop Control: break, continue, passrange(), enumerate(), zip()

• Module 3: Data Structures in Python

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  Lists, Tuples, Sets, and DictionariesList/Dict ComprehensionsBuilt-in Functions (len, min, max, etc.)Sorting and Nested Structures

• Module 4: Functions and Modules

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  Defining and Calling Functions*args, **kwargsLambda FunctionsRecursionModules and Packagesimport, from ... import, __name__ == '__main__'

• Module 5: File Handling

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  Reading and Writing Text/Binary FilesWorking with with context managerFile Methods: read(), write(), seek(), tell()CSV & JSON File Handling

• Module 6: Object-Oriented Programming (OOP)

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  Classes and ObjectsConstructors and DestructorsInheritance, Polymorphism, Encapsulation@classmethod, @staticmethod, __str__, __repr__Operator Overloading

• Module 7: Exception Handling

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  Try, Except, FinallyCustom ExceptionsRaising ExceptionsUsing assert statements

• Module 8: Python Standard Libraries & Utilities

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  os, sys, math, random, datetime, reCommand-line ArgumentsWorking with Environment Variables

• Module 9: Working with External Libraries (Intro to Advanced)

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  Installing Packages with pipUsing virtualenvOverview of Popular Libraries:NumPy, Pandas – Data AnalysisMatplotlib, Seaborn – VisualizationRequests – Web APIsBeautifulSoup / Scrapy – Web Scraping

• Module 10: Advanced Python Topics

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  Iterators and GeneratorsDecoratorsContext Managers (__enter__, __exit__)ClosuresMultithreading and MultiprocessingMemory Management and Garbage Collection

• Module 11: Python for Applications (Optional Specializations)

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  A. Web Development with Flask/DjangoREST API with FlaskTemplate Rendering, Routing, SessionsB. Data Science & Machine LearningData Cleaning with PandasPlotting with MatplotlibIntro to scikit-learn, Linear RegressionC. Automation & ScriptingAutomate Excel, PDF, EmailWeb Automation with SeleniumD. Database Programmingsqlite3, MySQL connectivityORM with SQLAlchemy