From basics to building projects — master Python step by step
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8
Weekends
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2
Hours/Daily
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32
Learning Hours
About This Course
The Python Programming – 8 Weeks Course is designed for beginners, aspiring developers, and professionals who want to learn one of the most powerful and versatile programming languages in the world. Python is widely used in web development, data science, automation, AI, and machine learning, making it one of the most in-demand skills globally.
This course takes you from zero to confident Python developer, covering everything from the basics of programming to working with files, databases, and popular Python libraries. With hands-on exercises and a final project, you’ll be equipped with the skills needed to solve real-world problems using Python.
Key Highlights
- Beginner-friendly and career-focused
- Covers fundamentals, OOP, file handling, and databases
- Introduction to NumPy, Pandas & Matplotlib
- Practical projects and real-world coding exercises
- Step-by-step guidance from industry trainers
- Final project showcasing your coding skills
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Course Modules & Weekly Breakdown
Week 1: Introduction to Python & Setup
| What is Python & why it’s popular |
| Installing Python & IDEs (PyCharm, VS Code, Jupyter Notebook) |
| Writing your first Python program |
| Variables, Data Types & Input/Output |
Learning Outcome:
✔ You will set up Python on your system, write your first programs, and master the basics of Python syntax.
Week 2: Control Flow (Conditions & Loops)
| If-Else statements |
| For & While loops |
| Break, Continue & Pass |
| Nested conditions & loops |
Learning Outcome:
✔ You will write programs that make decisions and perform repeated actions using conditions & loops.
Week 3: Data Structures (Lists, Tuples, Sets, Dictionaries)
| Lists & list operations |
| Tuples & immutability |
| Sets & unique values |
| Dictionaries (Key-Value pairs) |
Learning Outcome:
✔ You will store, manage, and process data efficiently using Python’s built-in data structures.
Week 4: Functions & Modules
| Defining & calling functions |
| Parameters, return values & scope |
| Lambda (anonymous functions) |
| Using built-in libraries (math, random, datetime) |
Learning Outcome:
✔ You will organize code into reusable functions and leverage Python’s libraries for real-world applications.
Week 5: File Handling & Error Handling
| Reading & writing text files |
| Working with CSV & JSON files |
| Exception handling (try, except, finally) |
| Raising custom errors |
Learning Outcome:
✔ You will manage file data and handle errors gracefully without program crashes.
Week 6: Object-Oriented Programming (OOP)
| Classes & Objects |
| Attributes & Methods |
| Inheritance & Polymorphism |
| Encapsulation & Abstraction |
Learning Outcome:
✔ You will apply OOP principles to build structured, scalable, and professional Python applications.
Week 7: Working with Libraries & Databases
| Introduction to NumPy, Pandas & Matplotlib |
| Connecting Python with Databases (SQLite/MySQL) |
| Running SQL queries from Python |
| Basic data visualization with Matplotlib |
Learning Outcome:
✔ You will integrate Python with libraries & databases to work on real-world datasets and visualize information.
Week 8: Final Project & Best Practices
| Writing clean & modular code |
| Virtual environments & package management (pip, venv) |
| Final Project Implementation |
Learning Outcome:
✔ You will develop a complete Python project and present it as a portfolio piece to showcase your programming skills.
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Latest Industry Trends in Python
- Python for Data Science & AI – Python remains the top choice for machine learning, data analysis, and AI projects.
- Web Development with Django & Flask – Businesses use Python frameworks to build scalable and fast applications.
- Automation & Scripting – Python is the go-to language for automating workflows, testing, and repetitive tasks.
- IoT & Cloud Computing – Python powers IoT devices and is widely integrated into cloud platforms like AWS, Azure, and GCP.
- Rising Demand in Job Market – Python developers are among the most highly paid and sought-after professionals worldwide.
Who Should Attend?
This course is ideal for:
- Students who want to learn coding from scratch
- Aspiring Developers looking to start a career in software development
- Data Enthusiasts who want to use Python for data analysis and visualization
- Freelancers who want to add a high-demand skill to their portfolio
- Professionals seeking to automate tasks or upskill in programming
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Tools & Technologies You’ll Master
- Python (Core Language)
- IDEs: PyCharm, VS Code, Jupyter Notebook
- Libraries: NumPy, Pandas, Matplotlib
- Databases: SQLite, MySQL integration
- Version Control: Git & GitHub basics
- File Formats: CSV & JSON
Learning Outcomes
By the end of this course, you will be able to:
- Install and configure Python with different IDEs
- Write clean, efficient, and modular code
- Work with data structures (lists, tuples, sets, dictionaries)
- Build functions and use modules for reusability
- Handle files, CSV, and JSON data
- Apply Object-Oriented Programming concepts
- Connect Python with databases and run SQL queries
- Visualize data using Matplotlib
- Develop a complete Python project from scratch
Final Project
As a capstone, you will build and present a complete Python project, applying all the concepts learned throughout the course.
Sample Project Options (will be finalized in class):
- Library Management System (with database integration)
- Weather Forecast App (using APIs)
- Data Analysis Dashboard (using Pandas & Matplotlib)
- E-commerce Inventory System
- Student Management System
This project will act as a strong portfolio piece, demonstrating your ability to solve real-world problems using Python.