Advanced Python Topics Tutorial
Last Updated :
09 Dec, 2024
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Python language is a very versatile language and it is used in many technical fields. Some fields require only basic knowledge of Python but some fields require you to know advanced Python such as Data Science, Artificial Intelligence and Robotics.
Pre-requisites: Before starting Advanced Python, one should have studied basic Python.
Advanced Conditional Statements
Regular Expressions
- Advanced Regular Expressions - 1
- Advanced Regular Expressions - 2
- Check whether a string starts and ends with the same character or not
- Password validation in Python
- Extracting email addresses using regular expressions in Python
- Validating UPI IDs using Regular Expressions
Object Oriented Programming
- Class and Object in Python
- Inheritance
- Encapsulation
- Polymorphism
- Data Abstaraction
- Operator Overloading
Iterables, Iterators and Generators
Closures and Decorators
- how to define closures in Python?
- how to develop a simple decorator in Python?
- how to define a decorator that accepts one or more arguments?
- how to define a class as a decorator?
- Implement monkey patching
- @staticmethod
- @classmethod
Memory Management
- Memory Management
- Garbage Collection
- How does reference counting work in Python?
- How dynamic typing works?
- Mutable & Immutable objects
- Memory Profiling
- Deep Copy vs Shallow Copy
- Optimization Tips for Python Code
- How Python store the integers in the memory?
Testing
Conclusion
After learning all these concepts, your skills in Python will jump from intermediate to advanced. Learning advanced Python will result in a big advancement in your IT career. Advanced Python enables you to work in multiple fields, you can explore more opportunities and enhance your work after this Advanced Python Topics tutorial.
