Python Programming
Master Python programming through a practical and structured learning journey designed for beginners and aspiring developers. This course starts with Python fundamentals and gradually progresses to advanced programming concepts, object-oriented programming, file handling, exception handling, databases, APIs, automation, and practical application development. Students will learn how to write clean and reusable Python programs, work with data, interact with databases and APIs, automate repetitive tasks, and build real-world projects. The course is suitable for students, beginners, aspiring software developers, freelancers, and professionals who want to build a strong foundation in Python programming.
Duration: 01 Months
Schedule: Monday – Friday, 5 days/week, 2 hours/day
Recorded Lectures Provided
Step-by-Step Curriculum
Course Modules & Practical Topics
1 Module 1: Python Fundamentals
- Introduction to Python
- Installing Python and setting up the development environment
- Python syntax and indentation
- Variables and constants
- Data types
- Input and output
- Type conversion
- Operators and expressions
- Writing and executing Python programs
2 Module 2: Conditional Statements & Loops
- if, elif and else statements
- Comparison and logical operators
- Nested conditions
- for loops
- while loops
- break and continue
- range() function
- Nested loops
- Practical programming exercises
3 Module 3: Python Data Structures
- Strings and string methods
- Lists and list methods
- Tuples
- Sets
- Dictionaries
- Indexing and slicing
- List and dictionary operations
- Nested data structures
- Practical data structure exercises
4 Module 4: Functions & Modular Programming
- Creating and calling functions
- Function parameters and arguments
- Return values
- Default and keyword arguments
- Variable scope
- Lambda functions
- Built-in functions
- Creating modules
- Importing modules and packages
5 Module 5: File Handling & Exception Handling
- Reading and writing text files
- Working with CSV files
- Working with JSON files
- File paths and directories
- Exception handling
- try, except, else and finally
- Raising exceptions
- Debugging common Python errors
- Building practical file-processing programs
6 Module 6: Object-Oriented Programming
- Introduction to OOP
- Classes and objects
- Constructors
- Instance and class attributes
- Methods
- Encapsulation
- Inheritance
- Polymorphism
- Abstraction
- Building object-oriented applications
7 Module 7: APIs, Databases & Automation
- Introduction to APIs
- HTTP requests with Python
- Working with REST APIs
- JSON API responses
- Introduction to databases
- SQLite with Python
- SQL queries with Python
- Database CRUD operations
- Python automation
- Automating repetitive tasks
8 Module 8: Practical Python Projects
- Project planning and development
- Building a command-line application
- Working with files and databases
- Using APIs in a real project
- Python automation project
- Debugging and testing
- Code organization and documentation
- Git and GitHub basics
- Final Python project
Tools & Software Covered
Python
VS Code
PyCharm
Jupyter Notebook
Git
GitHub
Postman
SQLite
MySQL
pip
Python Virtual Environment
Cohort Registration
Class Mode:
Campus + Online Backup
Location:
Multan Campus
Certification:
Project Capstone Verified
Who This Course Is For
- Students who want to learn programming
- Complete beginners in programming
- Aspiring Python Developers
- Aspiring Software Developers
- Web Development Beginners
- Automation Enthusiasts
- Freelancers
- Computer Science Students
- IT Professionals
- Entrepreneurs interested in automation
- Anyone looking to build a career in Python development
Career Opportunities
Python Developer
Junior Python Developer
Software Developer
Backend Developer
Automation Developer
Python Automation Specialist
Web Developer
API Developer
Junior Software Engineer
Freelance Python Developer
Data Processing Assistant
Python Programming Instructor