Python: Basics

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Learning Format: Live Training

What will be Cover ?

Module 1 – Why Python?
  • History and Evolution
  • Python Philosophy (Readability
  • Simplicity)
  • Interpreted vs Compiled (Engineering View)
  • Python vs Java / C++ / JavaScript
  • Where Python Fits (Backend
  • Scripting
  • Data
  • Automation)
Module 2 – Python Tooling & Environment
  • Installing Python
  • Python Interpreter
  • REPL
  • Virtual Environments
  • pip
  • Dependency Management
  • Running Python Programs
Module 3 – Program Structure & Execution
  • Script vs Module
  • main Entry Point
  • Imports
  • Packages
  • Execution Flow
  • Python Bytecode Basics
Module 4 – Variables & Data Types
  • Dynamic Typing
  • Built-in Data Types
  • Mutable vs Immutable
  • Type Conversion
  • Common Mistakes
Module 5 – Control Flow
  • if / elif / else
  • for Loop
  • while Loop
  • break / continue / pass
  • Comprehensions (Introduction)
  • Indentation Rules
Module 6 – Functions
  • Function Definition
  • Parameters
  • Return Values
  • Default Arguments
  • Keyword Arguments
  • *args
  • **kwargs
  • Lambda Functions (Introduction)
Module 7 – Core Data Structures
  • List
  • Tuple
  • Set
  • Dictionary
  • Iteration Patterns
Module 8 – Error Handling (Basics)
  • Exceptions
  • try / except / finally
  • Common Built-in Exceptions
  • Error Handling Best Practices
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Course Detail

The Python Basic course is designed for beginners who want to start their programming journey with one of the most powerful and beginner-friendly languages. This course builds a strong foundation in core programming concepts using simple, practical examples and hands-on exercises.

Learners will understand Python syntax, variables, data types, operators, conditional statements, loops, functions, and basic input/output operations. The course also introduces lists, tuples, dictionaries, strings, and basic error handling. Students will learn how to write clean, readable, and efficient Python code while understanding fundamental programming logic.

Special focus is given to problem-solving techniques and real-world mini projects to strengthen practical understanding. By the end of the course, learners will be able to write structured Python programs confidently and will be prepared to move into advanced fields such as web development, data science, automation, or artificial intelligence.

This course is ideal for school students, college beginners, career switchers, and anyone starting their coding journey.