Advanced Python Topics Tutorial

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. In this Advanced Python Topics Tutorial, you will learn about various advanced Python concepts with additional resources, so that you can master yourself in Python programming language.

Pre-requisites: Before starting Advanced Python, one should have studied basic Python.

Why Study Advanced Python?

Python is a very popular language among developers and is used in a variety of applications. Learning advanced Python can help you get a new job, or get a promotion.

If you have studied basic Python, there is no harm in learning advanced Python as it will only help you in your career. We have all major advanced Python concepts, the list is designed in a systematic order so that you can easily learn these concepts in a flow.

In this Advanced Python Topics tutorial, you will learn the following things:

Advanced Python Topics Tutorial For Beginners

In this Advanced Python Topics Tutorial we have currated advanced Python topics and sub-topics for you which will help you to master advanced Python with ease.

Start your journey from Intermediate to Advanced Python using these resources!

Advanced Conditional Statements

• List Comprehension
• Python Dictionary Comprehension
• Lambda Operator
• Filter
• Reduce
• Map
• Recursive Functions

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

OOPS

• CLass and Object in Python
• Inheritance 
• Encapsulation
• Polymorphism
• Data Abstaraction
• Operator Overloading

ITERABLES, ITERATORS and Generators

• Difference between iterable and iterator
• Python __iter__() and __next__()
• Generators in Python

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

• Testing with Pytest
• DocTests
• UnitTests

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.

FAQ- Advanced Python Topics Tutorial

Q1. What are some advanced Python topics?

Some Advanced Python Topics include:

• OOPs
• Testing
• Memory Management
• Closures and Decorators
• Regular Expressions
• Advanced Conditional Statements

Q2. What is difference between basic Python and advanced Python?

Basic Python : It includes basic foundational concepts of Python like syntax, keywords, data types etc. You might also see some basic Python functions, libraries, data structures like lists or tuples etc.

Advanced Python : It includes more complex topics of Python like advanced data structures, decorators, advanced libraries like numpy, advanced frameworks like Django etc.

Q3. What are some books to learn advanced Python?

• Python Cookbook by David Beazley and Brian K. Jones
• Fluent Python by Luciano Ramalho
• Learning Python by Mark Lutz
• Effective Python: 90 Specific Ways to Write Better Python by Brett Slatkin
• Programming Python by Mark Lutz

Q4. What are levels of Python Proficiency?

There are 3 levels of Python Proficiency:

• Beginner: Python syntax, tuples, list, basic libraries, functions, basic file operations,Writing basic scripts etc.
• Intermediate : Object-oriented programming, data structures and algorithms, database interaction, basic web development, etc.
• Advanced : decorators, advanced libraries and frameworks, concurrency and parallelism, advanced database management, etc