This Python Programming course is designed to provide learners with a strong foundation in core programming concepts and practical problem-solving skills. The course covers Python basics, data types, control structures, functions, object-oriented programming, file handling, and error handling, along with hands-on projects and real-world examples. Learners will gain experience using Python for automation, data processing, and application development. With expert-led training, practical assignments, and industry-oriented content, this course helps students, graduates, and working professionals build job-ready Python skills and advance their careers in software development, data analytics, and emerging technology domains.
Module 1: Python Basics Introduction to Python Installation & Environment Setup Syntax, Keywords & Variables Input & Output Operations.
Module 2: Data Types & Operators Numbers, Strings, Lists, Tuples, Sets, Dictionaries Type Conversion Operators & Expressions.
Module 3: Control Flow Statements Conditional Statements (if, elif, else) Looping (for, while) Break, Continue, Pass.
Module 4: Functions & Modules User-Defined Functions Parameters & Return Values Lambda Functions Importing Modules & Packages.
Module 5: Object-Oriented Programming (OOP) Classes & Objects Constructors & Methods Inheritance, Polymorphism, Encapsulation, Abstraction.
Module 6: File Handling & Exception Handling Reading & Writing Files File Modes Exception Handling (try, except, finally) Custom Exceptions.
Module 7: Python Libraries NumPy Basics Pandas for Data Handling Data Visualization with Matplotlib & Seaborn.
Module 8: Database Connectivity SQLite / MySQL Integration CRUD Operations Python with SQL.
Module 9: Web Development & APIs Flask Basics Django Overview REST API Concepts API Integration.
Module 10: Automation & Project Work Automation & Scripting Debugging & Code Optimization Real-Time Project Interview Preparation & Career Guidance.
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Email: coursedivine@gmail.com
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