1: Advanced Data Structures
Topics:
1. Advanced Lists
2. Tuples and Sets
3. Dictionaries
4. Collections Module
Projects:
1. Inventory Management System
- Use dictionaries to manage inventory items with their quantities and prices.
- Implement functions to add, remove, update, and display inventory items.
- Use sets to manage categories or tags for items.
2. Data Analysis with Collections
- Utilize the Counter class from collections to analyze word frequency in a text file.
- Implement functions to find most common words, unique words, etc.
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2: Functional Programming
Topics:
1. Lambda Functions
2. Higher-Order Functions
3. Decorators
4. Closures
Projects:
1. Decorator for Performance Monitoring
- Create a decorator to measure the execution time of functions and methods.
- Apply the decorator to various functions and analyze their performance.
2. Functional Programming in Data Processing
- Use lambda functions and higher-order functions like map, filter, and reduce to process and transform data.
- Implement functions for data filtering, mapping, and aggregation.
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3: Object-Oriented Programming (OOP) Advanced Concepts
Topics:
1. Class Inheritance
2. Metaprogramming
3. Operator Overloading
4. Abstract Base Classes (ABCs)
Projects:
1. Custom Data Models
- Create a hierarchy of classes using inheritance and metaprogramming techniques.
- Implement custom operators for data manipulation and comparison.
2. Plugin System with Abstract Base Classes
- Design a plugin system using ABCs to define interfaces for plugins.
- Implement different plugins that adhere to the defined interfaces.
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4: Asynchronous Programming
Topics:
1. Asynchronous Programming Basics
2. Concurrent Programming
3. Asynchronous I/O
4. Real-World Examples
Projects:
1. Asynchronous Web Scraper
- Develop a web scraper using asyncio for asynchronous HTTP requests.
- Implement concurrent scraping tasks for faster data retrieval.
2. Real-Time Chat Application
- Build a real-time chat application using asyncio for handling multiple concurrent connections.
- Use websockets for real-time communication between clients and server.
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5: Advanced Libraries and Tools
Topics:
1. NumPy and Pandas
2. SQLAlchemy
3. Web Development Framework (Flask or Django)
4. Testing and Debugging
Projects:
1. Data Analysis Dashboard
- Use NumPy and Pandas for data manipulation and analysis.
- Build a web-based dashboard using Flask or Django to visualize data insights.
2. RESTful API with Database Integration
- Develop a RESTful API using Flask or Django with SQLAlchemy for database integration.
- Implement endpoints for CRUD operations and authentication.
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6: Advanced Topics and Projects
Topics:
1. Concurrency and Parallelism
2. Distributed Computing
3. Machine Learning with Python
4. Final Project
Projects:
1. Parallel Image Processing
- Utilize multiprocessing or concurrent. futures for parallel image processing tasks.
- Implement image filters, resizing, and other transformations in parallel.
2. Distributed Task Scheduler
- Build a distributed task scheduler using Dask for distributed computing.
- Schedule and execute tasks across multiple workers in a distributed environment.
3. Machine Learning Model Deployment
- Train a machine learning model using scikit-learn or TensorFlow.
- Deploy the model as a RESTful API using Flask or Django for predictions.
4. Final Project: AI Chatbot
- Combine concepts learned throughout the course to build an AI-powered chatbot.
- Implement natural language processing, dialogue management, and external API integrations.
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This advanced Python syllabus offers a blend of theoretical knowledge and practical application through hands-on projects. Adjustments can be made based on the course duration, student interests, and specific learning objectives.
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