Advanced_Syllabus.txt

Introduction to Python
Basic syntax and data types (integers, floats, strings, booleans)
Variables and data structures (lists, tuples, dictionaries, sets)
Control flow statements (if-elif-else, for loops, while loops)
Functions and modules
File I/O (reading and writing files)
Exception handling
Object-oriented programming (classes, objects, inheritance, polymorphism)
Regular expressions
Working with dates and times
Generators and iterators
Decorators and context managers
Advanced data structures (collections module, named tuples, default dictionaries)
Functional programming concepts (map, filter, reduce)
Threading and multiprocessing
Networking (sockets, HTTP requests)
Database programming (SQL databases, ORM frameworks)
Web development (Django, Flask)
GUI programming (Tkinter, PyQt)
Data science and machine learning libraries (NumPy, pandas, scikit-learn, TensorFlow)
Web scraping (Beautiful Soup, Scrapy)
Testing (unittest, pytest)
Documentation (docstrings, Sphinx)
Packaging and distribution (pip, virtual environments, setup.py)
Best practices and code optimization techniques