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Python Tutorial | Concepts, Resources and Projects

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Python is the most popular programming languages, owing to its simplicity, versatility, and readability. Whether you’re a beginner or an experienced developer, having a comprehensive 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 practical projects in Python.

Table of contents

Before we start our python tutorial, here are some python free ebooks that you must checkout!

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
  • Classmethod 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
  • Help function in Python
  • Python | import() function
  • Python | range() does not return an iterator
  • Coroutine in Python
  • Python bit functions on int (bit_length, to_bytes and from_bytes)
  • Python Itertools
  • Python iter() and next() | Converting an object into an iterator
  • Python | Difference between iterable and iterator
  • Generators in python
  • Generators expression in python

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Object-Oriented Programming (OOP)

Advanced Topics

  • Programs for printing pyramid technique in Python
  • Chaining comparison in Python
  • else with for
  • Replace switch case in Python
  • Match case in Python
  • Using iteration in Python effectively

Important Python Libraries for Data Science

Python Data Science Projects

  • Titanic: Machine Learning from Disaster
  • House Prices: Advanced Regression Techniques
  • Iris Dataset Classification
  • Customer Segmentation
  • Sentiment Analysis
  • Credit Card Fraud Detection
  • Churn Prediction
  • Stock Price Prediction
  • Recommendation Systems
  • Healthcare Analytics

Also Read: Top 30+ Python Projects: Beginner to Advanced 2024

Python MCQs for Practice

Python Tutorial for Beginners [Full Course] 

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Conclusion

We hope our python tutorial was helpful for you! From basic syntax to advanced topics, this comprehensive guide covers everything one needs to master Python. With its vast array of libraries and practical projects, Python continues to empower innovation across various domains, solidifying its position as the language of choice for programmers worldwide.

If you want more detailed explanation for complex Python concepts, then enroll in our FREE python program!

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