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
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.
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