Python for Beginners – Level 3 – Program and Programming

About Course

Welcome to Python for Beginners – Level 3, where you’ll level up from basic programming to real-world coding skills!

In this course, you will explore advanced Python concepts that make you think like a professional developer. You’ll master powerful techniques like advanced functions, object-oriented programming, working with files and databases, and even create your own web apps using Flask. You’ll also get hands-on experience with APIs, web scraping, data analysis, testing, and automation.

This course isn’t just about writing code — it’s about solving real problems, building real projects, and understanding how professional Python developers work.

By the end of Level 3, you’ll have the confidence to build applications, analyze data, automate tasks, and take on more complex Python challenges — all while building a strong portfolio of real-world projects.

Whether you want to move into web development, data science, or automation, this course gives you the skills, confidence, and project experience to start your journey.

Deepen your understanding of how Python works behind the scenes.
Build advanced functions using decorators, generators, and recursion.
Master object-oriented programming (OOP) with real-world examples.
Work with files, JSON data, and databases like SQLite.
Create and handle web APIs and scrape data from websites.
Build interactive web applications using Flask.
Analyze and visualize data using Pandas and Matplotlib.
Write clean, error-free programs with professional debugging and testing techniques.
Understand concurrency and run multiple tasks in parallel.
Package your Python projects and deploy simple web apps online.
Create real-world portfolio projects that showcase your skills.

Course Content

Module 1: Advanced Functions and Programming Concepts

Recap of functions
Decorators (adding functionality to functions)
Generators and yield
Closures and function factories
Recursion and how/when to use it
Higher-order functions (map(), filter(), reduce())

Module 2: Mastering Advanced OOP

Module 3: File Handling and Working with Data

Module 4: Error Handling and Custom Exceptions

Module 5: Web Scraping and Working with APIs

Module 6: Introduction to Web Development with Flask

Module 7: Data Analysis and Visualization Basics

Module 8: Testing, Debugging, and Automation

Module 9: Introduction to Concurrency and Async Programming

Module 10: Working with Packages and Deployment Basics

Module 11: Real-World Projects

Bonus (Optional for Advanced Students)

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About Course

What Will You Learn?

Course Content

Module 1: Advanced Functions and Programming Concepts

Recap of functions

Decorators (adding functionality to functions)

Generators and yield

Closures and function factories

Recursion and how/when to use it

Higher-order functions (map(), filter(), reduce())

Module 2: Mastering Advanced OOP

Understanding magic/dunder methods (__str__, __len__, etc.)

Operator overloading (customizing how objects behave with +, -, etc.)

Inheritance vs. Multiple Inheritance

Mixins and Composition

Abstract classes with abc module

Metaclasses (conceptual intro)

Module 3: File Handling and Working with Data

Advanced file operations (binary files, context managers)

Working with JSON, XML data formats

Serialization and Pickling in Python

Connecting and interacting with SQLite databases

Module 4: Error Handling and Custom Exceptions

Creating custom exceptions

Using assert for debugging

Context Managers (with statement) – writing custom context managers

Logging errors and system information properly

Module 5: Web Scraping and Working with APIs

Introduction to Web Scraping ethics and basics

Using BeautifulSoup and Requests to scrape static sites

Selenium Automation for scraping dynamic content

What are APIs and how to work with them

Calling APIs with Requests, handling responses

Mini Project: Scraping + API data collection

Module 6: Introduction to Web Development with Flask

Understanding HTTP (Requests, Responses)

Setting up a basic Flask web app

Routing, Templates with Jinja2

Handling Forms (GET/POST)

Building a mini web application with Python and Flask

Module 7: Data Analysis and Visualization Basics

Pandas essentials (dataframes, series)

Reading, analyzing, and cleaning data

Intro to NumPy arrays

Basic plots with Matplotlib (line, bar, pie charts)

Mini Project: Data analysis on a real-world dataset (CSV)

Module 8: Testing, Debugging, and Automation

Writing Unit Tests using unittest and pytest

Mocking in tests

Debugging Python code using pdb and IDEs

Automating repetitive tasks with scripts (ex: file sorting, email sending)

Module 9: Introduction to Concurrency and Async Programming

What is Concurrency vs Parallelism

Basics of Multithreading and Multiprocessing

Introduction to Asyncio: async, await explained simply

Practical examples: running multiple tasks in parallel

Module 10: Working with Packages and Deployment Basics

Managing dependencies with pip, pipenv or poetry

Creating your own Python package

Introduction to Docker for Python apps (concept only)

Deploying a simple Flask app to Heroku (or similar platform)

Module 11: Real-World Projects

Project 1: Personal Portfolio Website with Flask

Project 2: Weather Data Dashboard (API + Web App)

Project 3: Web Scraper + Data Analyzer

Project 4: Data Visualization Mini Report

Bonus (Optional for Advanced Students)

Basics of Machine Learning: What, Why, and How (no coding, just intro)

FastAPI intro for future REST API building

CI/CD Basics: How code is automatically tested and deployed (conceptual)

Student Ratings & Reviews

Understanding magic/dunder methods (str, len, etc.)