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Python Basic
Learn the fundamentals of Python programming and build a strong foundation in coding, problem solving, automation, data handling and application development.
Course Duration
3 Months
Course Mode
Online & Offline
Lecture Duration
1 Hour / Day
Certificate Type
Certificate
Projects
Practical Projects
Learn To Think
Like A Programmer
Build a strong programming foundation with Python through practical exercises and projects.
Start Coding From The Ground Up
Python is a beginner-friendly programming language used across software development, automation, data analysis, artificial intelligence and many other technology fields.
This course starts from the very basics of programming and gradually introduces variables, conditions, loops, functions, data structures, files and object-oriented programming.
Students learn by writing programs and solving practical problems rather than simply studying programming concepts.
From Your First
Program To Projects
Learn the core concepts required to start writing useful Python programs independently.
Python Fundamentals
Learn Python syntax, variables, data types, operators and basic programming concepts.
Logic & Control Flow
Use conditions, loops and logical operators to control how programs work.
Functions
Write reusable blocks of code and organise programs into logical components.
Data Structures
Work with lists, tuples, sets, dictionaries and structured data.
Files & Data
Read, write and process files while learning practical data-handling techniques.
Automation & Projects
Use Python to automate tasks and build practical applications.
Python Basic
Course Modules
A progressive curriculum designed to take students from programming fundamentals to practical Python development.
01
Introduction to Programming & Python
Understanding programming fundamentals
ā
Introduction to Programming & Python
Topics Covered
- What is programming?
- What is Python?
- Applications of Python
- Programming languages and interpreters
- Python installation and setup
- Using the Python interpreter
- Writing your first Python program
- Comments and code structure
- Introduction to debugging
02
Variables & Data Types
Working with information in Python
ā
Variables & Data Types
Topics Covered
- Variables
- Naming conventions
- Numbers
- Strings
- Booleans
- None
- Type conversion
- Checking data types
- Basic input and output
- String formatting
03
Operators & Expressions
Performing operations with data
ā
Operators & Expressions
Topics Covered
- Arithmetic operators
- Assignment operators
- Comparison operators
- Logical operators
- Membership operators
- Identity operators
- Operator precedence
- Expressions
- Practical calculations using Python
04
Conditional Statements
Teaching programs how to make decisions
ā
Conditional Statements
Topics Covered
- Boolean logic
- if statements
- if-else statements
- elif statements
- Nested conditions
- Multiple conditions
- Practical decision-making programs
- Building a simple grading system
05
Loops & Iteration
Repeating tasks efficiently
ā
Loops & Iteration
Topics Covered
- Why loops are required
- for loops
- while loops
- range()
- Nested loops
- break
- continue
- Loop control
- Practical looping exercises
06
Strings
Working with text and characters
ā
Strings
Topics Covered
- Creating strings
- String indexing
- Slicing
- String methods
- Searching and replacing text
- Splitting and joining strings
- Formatted strings
- Practical text-processing exercises
07
Lists, Tuples, Sets & Dictionaries
Organising and managing data
ā
Lists, Tuples, Sets & Dictionaries
Topics Covered
- Creating and accessing lists
- List methods
- List slicing
- Tuples
- Sets
- Dictionaries
- Keys and values
- Nested data structures
- Iterating through collections
- Practical data-handling exercises
08
Functions
Creating reusable code
ā
Functions
Topics Covered
- Why functions are important
- Defining functions
- Parameters and arguments
- Return values
- Default arguments
- Multiple parameters
- Variable scope
- Reusable program design
- Building utility functions
09
Modules, Packages & Libraries
Extending Python programs
ā
Modules, Packages & Libraries
Topics Covered
- What are modules?
- Importing modules
- Creating custom modules
- Python standard library
- Installing packages
- Using pip
- Virtual environments introduction
- Understanding third-party libraries
10
File Handling
Reading and writing files with Python
ā
File Handling
Topics Covered
- Opening files
- Reading files
- Writing files
- Appending data
- Working with text files
- CSV files
- JSON files
- File paths
- Working with folders
- Practical file-processing projects
11
Error Handling & Debugging
Writing more reliable programs
ā
Error Handling & Debugging
Topics Covered
- Understanding Python errors
- Syntax errors
- Runtime errors
- Logical errors
- try and except
- else and finally
- Raising exceptions
- Debugging techniques
- Writing safer programs
12
Object-Oriented Programming
Understanding classes and objects
ā
Object-Oriented Programming
Topics Covered
- Introduction to OOP
- Classes and objects
- Attributes
- Methods
- Constructors
- Inheritance fundamentals
- Encapsulation
- Object-oriented program structure
- Practical class-based applications
13
Python Automation
Automating repetitive tasks
ā
Python Automation
Topics Covered
- Understanding automation
- Working with files and folders
- Batch file operations
- Renaming files automatically
- Creating automated reports
- Processing multiple files
- Basic system automation
- Introduction to useful automation libraries
14
APIs & Working With Online Data
Connecting Python to external services
ā
APIs & Working With Online Data
Topics Covered
- What is an API?
- Understanding requests and responses
- HTTP basics
- Working with JSON
- Sending API requests
- Reading API responses
- Using public APIs
- Building simple API-based programs
15
Problem Solving & Programming Practice
Developing programming thinking
ā
Problem Solving & Programming Practice
Topics Covered
- Breaking problems into smaller steps
- Writing algorithms
- Pseudocode
- Logical thinking exercises
- Pattern-based problems
- Mathematical programming problems
- Debugging exercises
- Code optimisation fundamentals
16
Final Project & Portfolio
Applying everything learned
ā
Final Project & Portfolio
Topics Covered
- Project planning
- Breaking a project into modules
- Writing clean and reusable code
- Working with files and data
- Error handling
- Testing and debugging
- Project documentation
- Building a final Python application
- Presenting the completed project
Learn By
Building Programs
Students progressively apply Python concepts through small exercises, practical utilities and complete applications.
Calculator Application
Create a command-line calculator that performs mathematical operations using functions and conditional logic.
Student Grade Manager
Build a program that accepts student information, calculates grades and generates results.
Number Guessing Game
Develop an interactive game using loops, conditions, random values and user input.
Expense Tracker
Create a simple expense management application that stores and processes user spending data.
File Automation Tool
Build a utility that automatically organises, renames and manages files inside folders.
CSV Data Processor
Read CSV data, process information and generate useful summaries using Python.
API-Based Application
Connect Python to a public API and create a program that retrieves and displays live data.
Complete Python Application
Plan, develop, test and present a complete Python application using the concepts learned throughout the course.
Your Python
Development Toolkit
Work with the essential tools used to write, manage and run Python programs.
Where Python
Can Take You
Python is a foundation for many technology specialisations and can be developed further through advanced study and practical experience.
Python Developer
Develop applications, scripts and software using Python.
Automation Developer
Create scripts and tools that automate repetitive workflows.
Backend Developer
Continue into server-side development and Python-based web frameworks.
Data Analyst
Build upon Python skills with data analysis and visualisation technologies.
AI / ML Developer
Use Python as a foundation for artificial intelligence and machine learning.
Software Developer
Apply programming fundamentals to broader software development projects.
Freelance Developer
Build scripts, utilities and custom solutions for clients and businesses.
Technical Intern
Use Python fundamentals as a starting point for software and technology internships.
Programming Student
Continue into advanced Python, web development, data science or AI.
By the end of the course, you will be able to:
Understand programming fundamentals and independently create practical Python programs using clean, structured and reusable code.
Start With Code.
Build What's Next.
Build your programming foundation with Python and start turning ideas into working applications.
