Advanced Python Course Syllabus
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Learn advanced Python programming with SLA Institute, the leading institute for the Advanced Python Syllabus. Our Advanced Python Course Syllabus covers key topics to help you master Python for real-world applications. Dive deep into object-oriented programming, advanced data structures, algorithms, web development, and machine learning with Python. Acquire practical skills by working on real-world projects and solving coding challenges. SLA Institute offers top-tier training and career support to help you succeed in Python programming roles. Join our Advanced Python Programming Syllabus with 100% Placement Support to acquire the skills needed to excel in the tech industry. Start your journey to a successful career with the Advanced Python Syllabus at SLA Institute.
Course Syllabus
Download SyllabusModule 1: Introduction to Advanced Python
- Overview of Python’s advanced features
- Python 3.x vs Python 2.x
- Setting up Python environment and IDEs
- Introduction to Python’s memory management
- Python’s execution model
Module 2: Object-Oriented Programming in Python
- Classes and objects in Python
- Methods, constructors, and destructors
- Inheritance, Polymorphism, and Encapsulation
- Abstraction and Interfaces
- Special methods and operator overloading
- Design patterns in Python
Module 3: Data Structures and Algorithms
- Lists, Tuples, Sets, and Dictionaries in-depth
- Advanced operations with collections module
- Linked Lists, Stacks, and Queues
- Trees and Graphs in Python
- Searching and Sorting algorithms
- Time and Space Complexity analysis (Big O notation)
Module 4: Web Development with Python
- Introduction to Web frameworks (Flask/Django)
- Building RESTful APIs with Flask
- Template engines and Jinja2
- Handling HTTP requests and responses
- Authentication and Authorization
- Web scraping with BeautifulSoup and Scrapy
Module 5: Python for Data Science and Machine Learning
- Introduction to NumPy and Pandas for data manipulation
- Data visualization with Matplotlib and Seaborn
- Statistical analysis using Python
- Machine learning with Scikit-learn
- Supervised and unsupervised learning techniques
- Neural networks and deep learning overview
Module 6: File Handling and Regular Expressions
- Working with text, CSV, JSON, and XML files
- File I/O operations and context managers
- Introduction to Regular Expressions (regex)
- Pattern matching and string manipulations
- Advanced regex techniques in Python
Module 7: Networking and Multithreading in Python
- Introduction to Python networking (sockets)
- Client-server programming with Python
- Multithreading and multiprocessing
- Synchronization and thread safety
- Network protocols and data transfer
- Asynchronous programming with asyncio
Module 8: Python Testing and Debugging
- Unit testing with unittest and pytest
- Test-driven development (TDD) principles
- Debugging with Python’s built-in debugger (pdb)
- Mocking and patching in tests
- Performance testing and profiling
- Code coverage and refactoring
Module 9: Python for Automation
- Automating system tasks with Python
- Web scraping and data extraction automation
- Automating emails and notifications
- Automating GUI with PyAutoGUI
- Scheduling tasks with Cron jobs or Task Scheduler
- Scripting for cloud automation (AWS, Azure)
Module 10: Final Project and Case Studies
- Real-world case study implementation
- Collaborative team project work
- Hands-on experience with industry-standard tools
- Applying concepts learned in a project-based environment
- Final project presentation and code review
- Career guidance and interview preparation
In conclusion, our Advanced Python syllabus equips students with the skills needed for success in software development and data science. The course covers key topics like object-oriented programming, advanced data structures, web development, machine learning, and automation, offering hands-on experience with industry tools. With the Advanced Python Course Syllabus, students will gain expertise in building complex applications, data analysis, and machine learning model creation. This Advanced Python Programming Syllabus is designed to prepare learners for careers in software engineering, data science, and automation. Get the Advanced Python Syllabus Pdf and start your journey toward excelling in the tech industry!
