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Python Fundamentals

Python Fundamentals

This Python course is designed for beginners with little to no programming experience. It covers Python fundamentals, best practices, and advanced features while providing hands-on experience through coding exercises, real-world projects, and problem-solving challenges.

$700

🕒 Duration

10 Weeks

📚 Format

1 day per week | 2 hours per day

📅 Next Session

June 2025

📡 Hybrid Mode

In-person: Physical

Online: Live Class

Things Good to Know

Here are some essential insights to help you understand what to expect from this course.

Prerequisites

  • Basic computer usage skills
  • No prior programming experience required. This course is aimed at complete beginners with no coding background.

Learning Outcomes

  • Python Proficiency
  • Real-World Development
  • Tool Mastery

Career Paths

  • Python Developer
  • Programmer Developer
  • Data Scientist/AI Engineer (with further study)

Who is this for?

  • Absolute beginners to programming
  • Students exploring software development
  • Professionals switching to tech careers
  • Anyone interested in automation, scripting, or data science

Why this course?

  • Beginner-friendly with no coding background required
  • Hands-on, project-based learning from Day 1
  • Taught by experienced instructors with industry knowledge
  • Includes a real-world capstone project to boost your portfolio

Why us?

  • Beginner-friendly approach with zero jargon
  • Expert instructors with real-world experience
  • Project-based learning to build a portfolio
  • Career-focused curriculum

    Tools and Resources

  • Python
  • Code Editors
  • Online resources

Roadmap

Your journey starts here

1

Python Introduction and Setup

Learn to set up Python and your development environment.

  • Install Python on Windows, Mac, or Linux
  • Configure virtual environments
  • Write and run your first Python program
  • Activity: Realworld tasks

2

Python Basics: Syntax, Variables, and Data Types

Learn the basic syntax of Python, variables, and data types.

  • Python syntax and indentation
  • Working with strings, integers, and floats
  • Using lists, tuples, and dictionaries
  • Activity: Realworld tasks

3

Control Flow: Conditionals and Loops

Understand how to control the flow of your program using conditionals and loops.

  • Using if, elif, and else
  • Working with while and for loops
  • Using break, continue, and pass
  • Activity: Realworld tasks

4

Functions and Modules

Learn how to define functions, pass parameters, and work with modules.

  • Defining functions
  • Function arguments and return values
  • Using built-in Python modules
  • Activity: Realworld tasks

5

Object-Oriented Programming (OOP) in Python

Learn the concepts of OOP and how to apply them in Python.

  • Classes and objects
  • Instance variables and methods
  • Inheritance and polymorphism
  • Activity: Realworld tasks

6

Error Handling and Debugging

Understand how to handle errors and debug Python programs.

  • Types of errors in Python
  • Using try, except, else, and finally
  • Debugging with print statements and Python debugger
  • Activity: Realworld tasks

7

Working with Files and JSON

Learn how to read from and write to files, and work with JSON data.

  • Reading from and writing to text files
  • Working with CSV files
  • Handling JSON data in Python
  • Activity: Realworld tasks

8

Introduction to Libraries and Frameworks

Learn how to use third-party libraries and frameworks in Python.

  • Installing and importing libraries
  • Popular Python libraries (NumPy, Pandas, Matplotlib)
  • Creating a simple project using libraries
  • Activity: Realworld tasks

9

Capstone Project: Build a Python Application

Put your skills to the test by building a real-world Python application.

  • Project planning and design
  • Writing clean and efficient code
  • Testing and deploying the application
  • Activity: Realworld tasks

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