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Basic Python

zBasic Python Programming is a beginner-friendly course designed to help students learn programming fundamentals using Python. The course covers Python syntax, variables, data types, operators, conditional statements, loops, functions, strings, lists, tuples, dictionaries, and file handling.

Students will gain practical programming skills through hands-on exercises, coding examples, and mini-projects.

Basic Python Course Syllabus

 

Module 1: Introduction to Python

Topics Covered:

  • Introduction to Python Programming

  • History and Features of Python

  • Applications of Python

  • Installing Python and VS Code

  • Python Interpreter and IDE

  • Writing and Executing Python Programs

  • Python Syntax and Indentation

  • Comments in Python

  • Python Keywords and Identifiers

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Module 2: Variables and Data Types

Topics Covered:

  • Variables and Constants

  • Rules for Naming Variables

  • Numeric Data Types

  • Integer, Float, Complex

  • String Data Type

  • Boolean Data Type

  • Type Checking Using type()

  • Type Conversion and Type Casting

  • Input and Output Functions

  • print() and input() Functions

Python variables, Python data types, Python type conversion, Python input output, Python type casting, Python strings, Python integer, Python float, Python boolean, Python variable declaration.

Module 3: Operators in Python

Topics Covered:

  • Arithmetic Operators

  • Assignment Operators

  • Comparison Operators

  • Logical Operators

  • Bitwise Operators

  • Membership Operators

  • Identity Operators

  • Operator Precedence

Python operators, arithmetic operators in Python, logical operators, comparison operators, Python assignment operators, Python bitwise operators, Python operator precedence, Python coding examples.

Module 4: Conditional Statements

Topics Covered:

  • if Statement

  • if-else Statement

  • if-elif-else Statement

  • Nested if Statements

  • Conditional Expressions

  • Practical Decision-Making Programs

Python conditional statements, Python if else, Python if elif else, nested if Python, Python decision making, Python conditional programming, Python beginner coding exercises.

Module 5: Loops in Python

Topics Covered:

  • Introduction to Loops

  • for Loop

  • while Loop

  • Nested Loops

  • range() Function

  • break Statement

  • continue Statement

  • pass Statement

  • Loop Control Statements

Python loops, Python for loop, Python while loop, Python nested loops, Python range function, Python break continue, Python loop programs, Python iteration.

Module 6: Python Strings

Topics Covered:

  • Introduction to Strings

  • String Indexing and Slicing

  • String Concatenation

  • String Repetition

  • String Formatting

  • String Methods

  • upper(), lower(), strip()

  • replace(), split(), join()

  • String Programs and Exercises

Python strings, Python string methods, Python string slicing, Python string indexing, Python string formatting, Python string functions, Python string manipulation, Python string programs.

Module 7: Python Collections

Topics Covered:

Data Type

Topics

List

Creation, indexing, slicing, methods, list operations

Tuple

Creation, indexing, tuple methods, immutability

Set

Set creation, add, remove, union, intersection

Dictionary

Keys, values, items, updating and deleting elements

Important Methods:

  • List: append(), insert(), remove(), pop(), sort()

  • Tuple: count(), index()

  • Set: add(), discard(), union(), intersection()

  • Dictionary: keys(), values(), items(), update()

Python lists, Python tuples, Python sets, Python dictionaries, Python collection data types, Python list methods, Python set operations, Python dictionary methods, Python data structures.

Module 8: Functions in Python

Topics Covered:

  • Introduction to Functions

  • Built-in Functions

  • User-Defined Functions

  • Function Definition and Calling

  • Parameters and Arguments

  • Return Statement

  • Default Arguments

  • Keyword Arguments

  • Local and Global Variables

  • Introduction to Lambda Functions

Python functions, Python user-defined functions, Python built-in functions, Python function arguments, Python return statement, Python lambda function, Python function examples.

Module 9: Basic Exception Handling

Topics Covered:

  • Introduction to Errors

  • Syntax Errors

  • Runtime Errors

  • Logical Errors

  • try and except

  • else and finally

  • Handling Common Exceptions

  • ZeroDivisionError

  • ValueError

  • TypeError

Python exception handling, Python errors, Python try except, Python error handling, Python runtime errors, Python debugging basics, Python exception examples.

Module 10: File Handling

Topics Covered:

  • Introduction to File Handling

  • Opening and Closing Files

  • File Modes: r, w, a, x

  • Reading Files

  • Writing Files

  • Appending Data

  • read(), readline(), readlines()

  • write() and writelines()

  • Using with open()

Python file handling, Python read write files, Python file operations, Python text files, Python file modes, Python file management, Python file handling examples.

 

Basic Python Practical Programs

Students will practice the following programs:

Mini Projects

Project

Description

Simple Calculator

Perform basic arithmetic operations

Student Management System

Store and display student details

Number Guessing Game

Guess a randomly generated number

Quiz Application

Create a simple question-and-answer program

Contact Book

Store names and phone numbers

Expense Tracker

Record and calculate daily expenses

Course Duration

Training Type

Duration

Regular Classroom Training

30–45 Days

Fast-Track Training

15–20 Days

Practical Lab Sessions

Included

Mini Projects

Included

Course Benefits

  • Beginner-friendly Python training

  • Hands-on programming practice

  • Real-time coding exercises

  • Logical thinking and problem-solving skills

  • Basic programming knowledge for advanced courses

  • Foundation for Data Science, AI, Machine Learning, and Automation

SEO  Python Training Institute

These keywords can be used for your institute’s website, course page, Google Business Profile, and digital marketing.

Primary Keywords

Local SEO 

Long-Tail