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Course Overview

What You Will Learn

Building on foundational logic, this class introduces Python as a powerful, readable tool for turning algorithms into working applications. Students will master core syntax including data types, lists, dictionaries, file handling, and error management. The course emphasizes writing clean, efficient code and explores practical uses like automation, data analysis, and basic scripting. By the end, learners will confidently translate logical designs into functional Python programs, ready to tackle real-world projects or advance into web development, data science, or AI.

Program Curriculum

Course Content

Explore the full learning path section by section and preview what is included in this program.

Introduction to Python
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Installing Python and Verifying the Environment
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Using the Python Interpreter and Running Scripts
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Editors, IDEs, and Basic Development Workflow
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What is pip?
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Virtual Environments with venv
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Creating, Activating, and Deactivating venv
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Installing and Managing Project Dependencies
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Requirements Files and Reproducible Setups
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Python Syntax Basics
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Indentation Rules in Python
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Comments, Readability, and Basic Style
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Common Syntax Errors and How to Read Them
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Numbers in Python
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Strings and Text Processing Basics
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Lists – Ordered Mutable Collections
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Dictionaries – Key-Value Data Structures
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Tuples and Sets
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Inspecting Types with type()
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Type Casting and Data Conversion
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Arithmetic, Comparison, and Logical Operators
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if, elif, and else in Python
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for Loops in Python
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while Loops in Python
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Nested Control Flow and Common Mistakes
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Defining and Calling Functions
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Parameters, Arguments, and Return Values
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Variable Scope in Python
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Writing Reusable and Clean Functions
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What are Modules?
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Imports and Organizing Python Files
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Working with Files in Python
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Opening, Reading, and Closing Files
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Writing and Appending to Files
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Using Context Managers with with
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What are Exceptions?
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try, except, else, and finally
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Practical Error Handling Patterns
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Packages and Project Structure
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Absolute and Relative Imports
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Why Code Style Matters
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Code Formatting with black
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Linting with flake8
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Import Organization with isort
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Introduction to Object-Oriented Programming
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Classes and Objects
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Attributes and Methods
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Encapsulation
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Inheritance
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Polymorphism
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Modeling Real-World Problems with OOP
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Static Methods and Class Methods
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Introduction to Decorators
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Dunder Methods (__init__, __str__, and more)
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Iterators and the Iterator Protocol
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Generators and yield
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Lambda Functions
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map, filter, and reduce
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Comprehensions in Python
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Why Testing Matters
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Introduction to Unit Testing
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Testing with unittest
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Testing with pytest
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Assertions and Expected Behavior
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Writing Testable Python Code
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Python Programming Wrap-Up
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Python Programming

Python Programming

$60.00
Not enrolled
Category Software Engineering
Instructor Filimon Shferaw
Lessons 11 Sections
Instructors

Meet the Instructor

  • Filimon Shferaw
    Senior Software Engineer