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