What will you learn in Python 3: From Beginner to Advanced Course
Design and program effectively in Python 3, mastering core constructs like variables, functions, and control flow
Work with built-in data structures—lists, tuples, sets, and dictionaries—and leverage list comprehensions and iterators
Apply object-oriented principles: define classes, inheritance, deep vs. shallow copies, and method overriding
Use advanced features such as generators, functional programming tools, and exception handling
Build and test GUI applications with Tkinter, and implement unit testing and file I/O for production-ready code
Program Overview
Module 1: Introduction
⏳ ~5 minutes
Topics: Course orientation and Python fundamentals overview
Hands-on: Navigate the Educative IDE and set up your first Python project
Module 2: The Absolute Bare Minimum
⏳ ~60 minutes
Topics: Variables, data types, operators, statements, loops, and basic I/O
Hands-on: Solve prime-checking, Fibonacci, and bracket-balancing exercises
Module 3: Better Tools
⏳ ~45 minutes
Topics: Objects, lists, tuples, sets, dictionaries, string methods, exceptions, file I/O, pickling
Hands-on: Import sample data, classify cases by attribute, and handle exceptions in tasks
Module 4: Classes
⏳ ~35 minutes
Topics: Defining classes, constructors, inheritance, object comparison, and copy semantics
Hands-on: Override inherited methods and implement custom object comparison quizzes
Module 5: Getting Fancy
⏳ ~40 minutes
Topics: Bit operations, list comprehensions, iterators, generators, and functional programming
Hands-on: Build generator-based Fibonacci sequences and functional data-processing pipelines
Module 6: Testing
⏳ ~10 minutes
Topics: Testing philosophy and Python’s
unittest
framework basicsHands-on: Write and run unit tests for core functions
Module 7: Graphical User Interfaces
⏳ ~15 minutes
Topics: Tkinter widgets, layout management, and event handling
Hands-on: Create a simple GUI app with multiple widgets and interactive controls
Module 8: Modules
⏳ ~15 minutes
Topics: Using built-in modules, OS commands, and statistics functions
Hands-on: Write scripts leveraging
os
andstatistics
modules for data analysis
Module 9: Appendix & Assessment
⏳ ~10 minutes
Topics: Deep dive into string methods, numerical functions, iterables, and test utilities
Hands-on: Complete the final “I Guess We’re Doing Python Now” assessment
Get certificate
Job Outlook
The average Python developer in the U.S. earns $125,900 per year, reflecting strong market demand
Employment for software developers is projected to grow 17% from 2023 to 2033—much faster than the 4% average across all occupations
Python expertise is highly sought in web development, data science, machine learning, automation, and DevOps
Proficiency in Python opens opportunities in roles such as software engineer, data analyst, AI/ML engineer, and backend developer
Specification: Python 3: From Beginner to Advanced
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