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
- Introduction to Python Basics
- Python Syntax and Fundamentals
- Data Types and Variables
- Variables, Expression, Condition, and Function
- Operators in Python
- Control Flow
- Functions and Methods
- Object-Oriented Programming (OOP)
- Advanced Topics
- Important Python Libraries for Data Science
- Python Data Science Projects
- Python MCQs for Practice
- Python Tutorial for Beginners [Full Course]
- Conclusion
Before we start our python tutorial, here are some python free ebooks that you must checkout!
Introduction to Python Basics
- Python language introduction
- Python Language advantages
- Important differences between Python 2x and Python 3.x with examples
- Python 3 basics
Python Syntax and Fundamentals
- Keywords in Python (Set 1, Set 2)
- Namespaces and Scope in Python
- Commenting in Python
- Indentation in Python
- Taking input in Python
- Python | Output using print() function
- Output Formatting in Python
- Pretty Print in Python
- Python Subprocess
- Basic calculator program using Python
Preparing for a technical interview? You can’t miss these 90+ Python Interview Questions!
Data Types and Variables
- Introduction to DataTypes
- Python Strings
- Python String Comparison
- Strings to int
- Python List
- Python List methods
- Python Tuples
- Python Sets
- Python Dictionary
- Python Arrays
Variables, Expression, Condition, and Function
- Scope in Python
- Global and local variables in Python
- Packing and unpacking arguments in Python
- Type conversion in Python
- Case Conversion in Python
- Byte objects vs string in Python
- Print single and multiple variable
- Swap variable
- Private variables
- name (A Special variable) in Python
Operators in Python
- Basic operator in Python
- Bitwise operator in Python
- Ternary operator
- Division operator in Python
- Modulo Operator in Python
- Operator Overloading in Python
- Any & all in Python
- Inplace operator
- Logic Gates in Python
- Difference between == and is operator in Python
- Python Membership and Identity Operators
Control Flow
- Python Loops
- Python for loop
- Python while loop
- Loops and Control Statements (continue, break and pass) in Python
- If else in python
- range vs xrange on python
- Range Function in python
- 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
- Python Itertools
- Python iter() and next() | Converting an object into an iterator
- Python | Difference between iterable and iterator
Functions and Methods
- Functions in Python
- Classmethod in Python
- Class method vs static method in Python
- Yield instead of Return
- Return Multiple Values
- Partial Functions in Python
- First Class functions in Python
- Precision Handling
- *args and **kwargs
- Python closures
- Decorators in Python
- Help function in Python
- Coroutine in Python
- Python bit functions on int
- Generators in python
- Generators expression in python
Why is Python essential for data science? Explore Python’s role in data science with our Python guide.
Object-Oriented Programming (OOP)
- Class, Object and Members
- Data Hiding and Object Printing
- Inheritance, examples of object, issubclass and super
- Polymorphism in Python
- Class and static variable in Python
- Class method and static method in Python
- Changing class members
- Constructors in Python
- Destructors in Python
- Class and instance attribute
- Reflection
- Garbage collection
- Built-in Exception
- User defined Exception
- Nzec error
- try and except in Python
- Python Exception Handling
Advanced Topics
- Programs for printing pyramid technique in Python
- Chaining comparison in Python
- else with for
Important Python Libraries for Data Science
- NumPy
- Pandas
- Matplotlib
- Seaborn
- SciPy
- Scikit-learn
- Statsmodels
- Requests
- Beautiful Soup
- Keras
- PyTorch
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
- 30+ MCQs on Basic Python with Answers
- 30+ Multiple-Choice Questions on Python Variables
- 30+ Multiple-Choice Questions on Python Data Types
- 30+ Multiple Choice Questions on Python Syntax and Semantics
- 30+ MCQs on Python Operators and Expressions
- 30+ MCQs on Python Control Flow
- 30+ MCQs on Python Functions
- 30+ MCQs on Python Modules and Packages
- 30+ MCQs on Python Error Handling
- 30+ MCQs on Python File I/O
- 30+ MCQs on Python String Manipulation
- 30+ MCQs on Python Tuple Manipulation
- 30+ MCQs on Python List Manipulation
- 30+ MCQs on Python Dictionary Manipulation
- 30+ MCQs on Python Sets and Sets Operations
- 30+ MCQs on Python OOPs Concepts
- 30+ MCQs on Python Inheritance and Polymorphism
- 30+ MCQs on Python Abstraction and Encapsulation
- 30+ MCQs on Python Special Methods
- 30+ MCQs on Python Recursion
- 30+ MCQs on Python Lambda Functions
- 30+ MCQs on Python Exception Handling
- 30+ MCQs on Python Regular Expression
- 30+ MCQs on Python Map, Filter and Reduce Functions
- 30+ MCQs on Python Date and Time Handling
- 30+ MCQs on Database Interaction with Python
Python Tutorial for Beginners [Full Course]
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!
Hello, I am Nitika, a tech-savvy Content Creator and Marketer. Creativity and learning new things come naturally to me. I have expertise in creating result-driven content strategies. I am well versed in SEO Management, Keyword Operations, Web Content Writing, Communication, Content Strategy, Editing, and Writing.
