Python is the most popular programming language due to its simplicity, versatility, and readability. Whether you're a beginner or an experienced developer, having a complete guide to Python can be invaluable. In this Python tutorial, we'll cover everything from the basics to advanced topics, as well as important libraries and hands-on projects in Python.
Before we start our Python tutorial, here are some free Python ebooks you should check out!
Introduction to Python Basics
Python Syntax and Fundamentals
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Data types and variables
Variables, expression, condition and function
Operators and control flow
Functions and methods
- Functions in Python
- Class method in Python
- class method vs static method in Python
- Write an empty function in Python – pass statement
- Yield instead of return
- Return multiple values
- Partial functions in Python
- First class functions in Python
- Precision handling
- *args and **kwargs
- Python closures
- Function Decorators
- Decorators in Python
- Decorators with parameters in Python
- Memoization using decorators in Python
- Helper function in Python
- Python | import() function
- Python | range() does not return an iterator
- Coroutine in Python
- Python bit functions in int (bit_length, to_bytes and from_bytes)
- Python tools
- Python iterator() and next() | Convert an object to an iterator
- Python | Difference between iterable and iterator
- Generators in Python
- Expression generators in Python.
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Object-oriented programming (OOP)
Advanced topics
- Programs to print the pyramid technique in Python.
- Chaining Comparison in Python
- more with for
- Replace switch box in Python
- Matching case in Python
- Use iteration in Python effectively
Important Python Libraries for Data Science
Python data science projects
- Titanic: machine learning from disasters
- House Prices: Advanced Regression Techniques
- Classification of iris data sets
- Customer segmentation
- Analysis of feelings
- Credit card fraud detection
- Dropout prediction
- Stock price prediction
- Recommendation systems
- Health analysis
Also Read: Top 30+ Python Projects – Beginner to Advanced 2024
Python FAQ for Practice
Python Tutorial for Beginners (Full Course)
Conclusion
We hope our Python tutorial was useful to you! From basic syntax to advanced topics, this comprehensive guide covers everything one needs to master Python. With its wide range of libraries and practical projects, Python continues to power innovation in various domains, solidifying its position as the language of choice for programmers around the world.
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