Published 2/2025
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 7h 40m | Size: 4.37 GB
Mastering Python: From Exception Handling to Advanced OOP and Data Structures
What you’ll learn
Understand Python’s exception handling using try-except and custom exceptions.
Implement multiple exception handling strategies for robust programs.
Use finally and else blocks to manage resource cleanup and error flow.
Apply object-oriented principles to design modular and reusable code.
Create and manage Python classes with constructors and attributes.
Utilize inheritance and polymorphism for scalable OOP structures.
Override methods and use the super() function effectively.
Explore advanced data structures like heaps and priority queues.
Handle real-world simulations such as banking and login systems.
Develop efficient, structured, and maintainable Python applications.
Requirements
Python syntax and basic data types (integers, floats, strings).
Lists, sets, and tuples for storing and managing collections of data.
Dictionaries and their usage for key-value data storage.
Basic control flow structures (if-else statements, loops).
Functions and parameters for modular coding.
Description
This comprehensive Python course is designed to equip learners with essential programming skills by covering exception handling, object-oriented programming (OOP), and advanced data structures. With a hands-on approach, each module includes interactive coding exercises to reinforce learning through practice.Course Highlights:1. Exception HandlingLearn how to write robust and error-free Python programs by mastering exception handling techniques:Try-Except Blocks: Handle runtime errors gracefully.Catching Specific Exceptions: Improve program stability with precise error management.Multiple Exceptions & Finally Blocks: Ensure resource cleanup and better control over execution.Custom Exceptions: Create user-defined exceptions for enhanced debugging.Practical Simulations: Implement real-world cases like banking and login system simulations.2. Object-Oriented Programming (OOP)Develop scalable and reusable code using Python’s OOP paradigm:Introduction to Classes & Objects: Understand the foundation of OOP.Encapsulation & Attributes: Control data access with public and protected attributes.Constructors & Destructors: Automate object initialization and cleanup.Real-World Applications: Implement banking systems, shopping carts, and student record management.3. Inheritance & PolymorphismAdvance your OOP knowledge with powerful inheritance models:Single & Multiple Inheritance: Build hierarchical relationships between classes.Super() Method & Method Resolution Order: Optimize function overriding.Operator Overloading & Duck Typing: Utilize Python’s dynamic typing effectively.4. Advanced Data StructuresExplore efficient data structures to enhance algorithm performance:ChainMaps & Scope Resolution: Manage configuration settings efficiently.Heaps & Priority Queues: Master min-heaps and max-heaps for optimized sorting and retrieval.This course is ideal for beginners and intermediate programmers looking to enhance their Python expertise through structured learning and real-world applications. By the end of the course, you will be able to write clean, efficient, and maintainable Python code with confidence.
Password/解压密码www.tbtos.com
转载请注明：0daytown » Learn Python Programming: An Advanced Journey + 72 Exercises