Intermediate Python Programming: Mastering Core Concepts and Applications
Required Lab
Lab not available
Intermediate Python Programming: Mastering Core Concepts and Applications
Intermediate
1. Advanced Data Structures and Algorithms
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1. Deep Dive into Python Lists, Tuples, and Sets
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2. Mastering Dictionaries and Their Use Cases
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3. Implementing Common Algorithms for Searching and Sorting
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4. Applying Data Structures: Mini Project on Data Manipulation
2. Object-Oriented Programming in Python
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1. Understanding Classes, Objects, and Inheritance
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2. Working with Magic Methods and Operator Overloading
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3. Design Patterns: Implementing Singleton and Factory Patterns
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4. OOP Case Study: Building a Simple Inventory System
3. Functional Programming and Decorators
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1. Introduction to Functional Programming Concepts in Python
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2. Using Lambda Functions, Map, Filter, and Reduce
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3. Understanding and Creating Decorators
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4. Practical Exercise: Enhancing Functions with Decorators
4. File Handling and Error Management
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1. Working with Files: Reading, Writing, and Managing File Data
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2. Handling Exceptions: Try, Except, Finally Blocks
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3. Creating Custom Exceptions for Robust Code
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4. Error Handling Project: Building a Fault-Tolerant File Processor
5. Python Modules and Package Management
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1. Understanding Python Modules and Importing Mechanisms
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2. Using Standard Library Modules for Practical Tasks
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3. Creating and Distributing Your Own Python Packages
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4. Mini Project: Building a Reusable Python Package