Python Development Basics – Functions, Classes, and Software Building Blocks with 10 Exams
This course helps you grasp the foundations of development, from small functions to larger, structured programs. Every developer starts with building blocks—and Python makes them accessible.
Created by Team Mammoth
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79 lectures
01
Skill level
All levels
02
Sections
9
03
Lectures
79
04
Instructor
Team Mammoth
What's inside
This course includes.
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9
Sections
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53
Quizzes
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Certificate of completion
Included
✓
Mobile and desktop access
Included
✓
AI learning assistance
Included
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Course content
Curriculum & lectures.
+ Section 1: Introduction to Python 9 lectures Preview
Lecture 1.01: Getting Started with Python
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Lecture 1.02: Understanding Python Syntax and Indentation
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Lecture 1.03: Variables and Data Types in Python
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Lecture 1.04: Working with Numbers and Operators
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Lecture 1.05: Strings in Python
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Lecture 1.06: Boolean Values and Comparisons
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Lecture 1.07: Control Flow with if/else Statements
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Lecture 1.08: Loops in Python (while and for)
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Lecture 1.09: Loop Control Statements (break, continue, pass)
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+ Section 2: Functions, Modules, and Packages 12 lectures
Lecture 2.01: Introduction to Functions
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Lecture 2.02: Parameters and Arguments
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Lecture 2.03: Variable-Length Arguments (*args and kwargs)
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Lecture 2.04: Return Values and Function Output
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Lecture 2.05: Variable Scope and Lifetime
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Lecture 2.06: Lambda Functions and Functional Tools
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Lecture 2.07: Writing Clean and Documented Functions
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Lecture 2.08: Creating and Importing Modules
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Lecture 2.09: Understanding Packages and init.py
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Lecture 2.10: Working with External Libraries and pip
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Lecture 2.11: Virtual Environments and Dependency Management
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Lecture 2.12: Best Practices for Modular Code Design
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+ Section 3: Data Types and Collections 12 lectures
Lecture 3.01: Overview of Python’s Data Types and Collections
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Lecture 3.02: The NoneType and Its Uses
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Lecture 3.03: The range Type
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Lecture 3.04: Lists – Python’s Dynamic Arrays
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Lecture 3.05: Advanced List Operations
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Lecture 3.06: Tuples – Immutable Sequences
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Lecture 3.07: Sets – Unordered Collections of Unique Elements
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Lecture 3.08: Dictionaries – Key-Value Mappings
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Lecture 3.09: Advanced Dictionary Methods and Comprehensions
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Lecture 3.10: Using Counter for Counting Data
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Lecture 3.11: Nesting and Complex Data Structures
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Lecture 3.12: Choosing the Right Collection Type
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+ Section 4: Iterators, Generators, and Comprehensions 10 lectures
Lecture 4.01: Iteration in Python – The Big Picture
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Lecture 4.02: The Iterator Protocol
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Lecture 4.03: Built-in Iterators and Iterables
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Lecture 4.04: Introduction to Generators
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Lecture 4.05: Generator Expressions
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Lecture 4.06: Itertools – Tools for Iteration
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Lecture 4.07: List Comprehensions
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Lecture 4.08: Dictionary and Set Comprehensions
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Lecture 4.09: Nested and Complex Comprehensions
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Lecture 4.10: Choosing Between Loops, Comprehensions, and Generators
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+ Section 5: File Handling and Working with Data 10 lectures
Lecture 5.01: Introduction to File Handling in Python
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Lecture 5.02: Opening and Closing Files
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Lecture 5.03: Reading from Files
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Lecture 5.04: Writing and Appending to Files
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Lecture 5.05: Working with Context Managers (with Statement)
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Lecture 5.06: Handling File Paths and Directories
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Lecture 5.07: Working with CSV Files
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Lecture 5.08: Working with JSON Data
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Lecture 5.09: Error Handling in File Operations
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Lecture 5.10: Best Practices for Managing Data Files
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+ Section 6: Error Handling and Debugging 7 lectures
Lecture 6.01: Types of Errors in Python
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Lecture 6.02: Common Built-in Exceptions
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Lecture 6.03: Handling Errors with try/except/else/finally
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Lecture 6.04: Raising and Custom Exceptions
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Lecture 6.05: Debugging with Print and Logging
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Lecture 6.06: Interactive Debugging with pdb
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Lecture 6.07: Defensive Programming and Best Practices
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+ Section 7: Strings and Regular Expressions 4 lectures
Lecture 7.01: Working with Strings
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Lecture 7.02: String Methods and Formatting
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Lecture 7.03: Introduction to Regular Expressions
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Lecture 7.04: Advanced Regex Techniques
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+ Section 8: Standard Library Essentials 7 lectures
Lecture 8.01: Introduction to the Python Standard Library
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Lecture 8.02: Mathematical and Random Utilities
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Lecture 8.03: Working with Dates and Times
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Lecture 8.04: File System and Operating System Tools
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Lecture 8.05: System Information and Command-Line Interaction
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Lecture 8.06: Collections and Data Structures
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Lecture 8.07: Path Handling with pathlib
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+ Section 9: Introduction to Object-Oriented Programming 8 lectures
Lecture 9.01: What is Object-Oriented Programming?
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Lecture 9.02: Defining Classes and Creating Objects
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Lecture 9.03: Attributes and Methods
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Lecture 9.04: The init Constructor and Object Initialization
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Lecture 9.05: Encapsulation and Access Control
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Lecture 9.06: Inheritance and Reusability
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Lecture 9.07: Polymorphism at a Beginner Level
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Lecture 9.08: Next Steps
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Description
About this course.
Crafted by people, powered with AI and refined to give you clear, quality results.
✅ Strengthen your understanding of functions and classes
✅ Learn the principles behind code structure and reuse
✅ Gain confidence in writing Python that scales
✅ Practice and test with 10 structured exams
Whether you’re aiming for data, web, or software development, it all begins here.
🎁 Lay the groundwork for a strong and versatile Python journey.
Instructors
Taught by people who ship.
Team Mammoth
Instructor
Produced by a team of Mammoth Club industry experts. Over 14 years, Mammoth Club has built a global student community in 190+ countries with 9+ million courses sold, releasing over 1,000+ courses and 5,000+ hours of video content.
Bundled items.
10 courses
Exam 10 - Python Development Basics – Functions, Classes, and Software Building Blocks
Free
Exam 1 - Python Development Basics – Functions, Classes, and Software Building Blocks
Free
Exam 2 - Python Development Basics – Functions, Classes, and Software Building Blocks
Free
Exam 3 - Python Development Basics – Functions, Classes, and Software Building Blocks
Free
Exam 4 - Python Development Basics – Functions, Classes, and Software Building Blocks
Free
Exam 5 - Python Development Basics – Functions, Classes, and Software Building Blocks
Free
Exam 6 - Python Development Basics – Functions, Classes, and Software Building Blocks
Free
Exam 7 - Python Development Basics – Functions, Classes, and Software Building Blocks
Free
Ready to start building?
This course helps you grasp the foundations of development, from small functions to larger, structured programs. Every developer starts with building blocks—and Python makes them accessible.