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Catalog / All levels / Python Development Basics – Functions, Classes, and Software Building Blocks with 10 Exams
Mammoth Club All levels 9 sections 79 lectures

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
·
79 lectures
01
Skill level
All levels
02
Sections
9
03
Lectures
79
04
Instructor
Team Mammoth
What's inside

This course includes.

✓
9
Sections
✓
53
Quizzes
✓
Certificate of completion
Included
✓
Mobile and desktop access
Included
✓
AI learning assistance
Included
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Course content

Curriculum & lectures.

9 sections · 79 lectures
+ Section 1: Introduction to Python 9 lectures
Lecture 1.01: Getting Started with Python Locked
Lecture 1.02: Understanding Python Syntax and Indentation Locked
Lecture 1.03: Variables and Data Types in Python Locked
Lecture 1.04: Working with Numbers and Operators Locked
Lecture 1.05: Strings in Python Locked
Lecture 1.06: Boolean Values and Comparisons Locked
Lecture 1.07: Control Flow with if/else Statements Locked
Lecture 1.08: Loops in Python (while and for) Locked
Lecture 1.09: Loop Control Statements (break, continue, pass) Locked
+ Section 2: Functions, Modules, and Packages 12 lectures
Lecture 2.01: Introduction to Functions Locked
Lecture 2.02: Parameters and Arguments Locked
Lecture 2.03: Variable-Length Arguments (*args and kwargs) Locked
Lecture 2.04: Return Values and Function Output Locked
Lecture 2.05: Variable Scope and Lifetime Locked
Lecture 2.06: Lambda Functions and Functional Tools Locked
Lecture 2.07: Writing Clean and Documented Functions Locked
Lecture 2.08: Creating and Importing Modules Locked
Lecture 2.09: Understanding Packages and init.py Locked
Lecture 2.10: Working with External Libraries and pip Locked
Lecture 2.11: Virtual Environments and Dependency Management Locked
Lecture 2.12: Best Practices for Modular Code Design Locked
+ Section 3: Data Types and Collections 12 lectures
Lecture 3.01: Overview of Python’s Data Types and Collections Locked
Lecture 3.02: The NoneType and Its Uses Locked
Lecture 3.03: The range Type Locked
Lecture 3.04: Lists – Python’s Dynamic Arrays Locked
Lecture 3.05: Advanced List Operations Locked
Lecture 3.06: Tuples – Immutable Sequences Locked
Lecture 3.07: Sets – Unordered Collections of Unique Elements Locked
Lecture 3.08: Dictionaries – Key-Value Mappings Locked
Lecture 3.09: Advanced Dictionary Methods and Comprehensions Locked
Lecture 3.10: Using Counter for Counting Data Locked
Lecture 3.11: Nesting and Complex Data Structures Locked
Lecture 3.12: Choosing the Right Collection Type Locked
+ Section 4: Iterators, Generators, and Comprehensions 10 lectures
Lecture 4.01: Iteration in Python – The Big Picture Locked
Lecture 4.02: The Iterator Protocol Locked
Lecture 4.03: Built-in Iterators and Iterables Locked
Lecture 4.04: Introduction to Generators Locked
Lecture 4.05: Generator Expressions Locked
Lecture 4.06: Itertools – Tools for Iteration Locked
Lecture 4.07: List Comprehensions Locked
Lecture 4.08: Dictionary and Set Comprehensions Locked
Lecture 4.09: Nested and Complex Comprehensions Locked
Lecture 4.10: Choosing Between Loops, Comprehensions, and Generators Locked
+ Section 5: File Handling and Working with Data 10 lectures
Lecture 5.01: Introduction to File Handling in Python Locked
Lecture 5.02: Opening and Closing Files Locked
Lecture 5.03: Reading from Files Locked
Lecture 5.04: Writing and Appending to Files Locked
Lecture 5.05: Working with Context Managers (with Statement) Locked
Lecture 5.06: Handling File Paths and Directories Locked
Lecture 5.07: Working with CSV Files Locked
Lecture 5.08: Working with JSON Data Locked
Lecture 5.09: Error Handling in File Operations Locked
Lecture 5.10: Best Practices for Managing Data Files Locked
+ Section 6: Error Handling and Debugging 7 lectures
Lecture 6.01: Types of Errors in Python Locked
Lecture 6.02: Common Built-in Exceptions Locked
Lecture 6.03: Handling Errors with try/except/else/finally Locked
Lecture 6.04: Raising and Custom Exceptions Locked
Lecture 6.05: Debugging with Print and Logging Locked
Lecture 6.06: Interactive Debugging with pdb Locked
Lecture 6.07: Defensive Programming and Best Practices Locked
+ Section 7: Strings and Regular Expressions 4 lectures
Lecture 7.01: Working with Strings Locked
Lecture 7.02: String Methods and Formatting Locked
Lecture 7.03: Introduction to Regular Expressions Locked
Lecture 7.04: Advanced Regex Techniques Locked
+ Section 8: Standard Library Essentials 7 lectures
Lecture 8.01: Introduction to the Python Standard Library Locked
Lecture 8.02: Mathematical and Random Utilities Locked
Lecture 8.03: Working with Dates and Times Locked
Lecture 8.04: File System and Operating System Tools Locked
Lecture 8.05: System Information and Command-Line Interaction Locked
Lecture 8.06: Collections and Data Structures Locked
Lecture 8.07: Path Handling with pathlib Locked
+ Section 9: Introduction to Object-Oriented Programming 8 lectures
Lecture 9.01: What is Object-Oriented Programming? Locked
Lecture 9.02: Defining Classes and Creating Objects Locked
Lecture 9.03: Attributes and Methods Locked
Lecture 9.04: The init Constructor and Object Initialization Locked
Lecture 9.05: Encapsulation and Access Control Locked
Lecture 9.06: Inheritance and Reusability Locked
Lecture 9.07: Polymorphism at a Beginner Level Locked
Lecture 9.08: Next Steps Locked
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

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.

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.

Buy lifetime access →