Python Tutorial
This Python Tutorial is very well suited for Beginners, and also for experienced programmers with other programming languages like C++ and Java. This specially designed free Python tutorial will help you learn Python Programming Language in the most efficient way, with topics from basics to advanced (like Web-scraping, Django, Deep-Learning, etc.) with examples.
What is Python?
Python is a high-level, general-purpose, and very popular programming language. Python programming language (latest Python 3) is being used in web development, Machine Learning applications, along with all cutting-edge technology in Software Industry.
Python language is being used by almost all tech-giant companies like – Google, Amazon, Facebook, Instagram, Dropbox, Uber… etc.
The biggest strength of Python is huge collection of standard library which can be used for the following:
- Machine Learning
- GUI Applications (like Kivy, Tkinter, PyQt etc. )
- Web frameworks like Django (used by YouTube, Instagram, Dropbox)
- Image processing (like OpenCV, Pillow)
- Web scraping (like Scrapy, BeautifulSoup, Selenium)
- Test frameworks
- Multimedia
- Scientific computing
- Text processing and many more..
Why Learn Python?
Python is currently the most widely used multi-purpose, high-level programming language, which allows programming in Object-Oriented and Procedural paradigms. Python programs are generally smaller than other programming languages like Java. Programmers have to type relatively less and the indentation requirement of the language, makes them readable all the time.
Getting Started with Free Python Tutorial
Here are the important topics that come under Python. After completing all the important topics in this free tutorial for Python, you’ll have a basic understanding of the Python programming language:-
Python Basics
- Python language introduction
- Python 3 basics
- Python The new generation language
- Important difference between python 2.x and python 3.x with example
- Keywords in Python | Set 1, Set 2
- Namespaces and Scope in Python
- Statement, Indentation and Comment in Python
- Structuring Python Programs
- How to check if a string is a valid keyword in Python?
- How to assign values to variables in Python and other languages
- How to print without newline in Python?
- Decision making
- Basic calculator program using Python
- Python Language advantages and applications
Python Input/Output
- Taking input in Python
- Taking input from console in Python
- Taking multiple inputs from user in Python
- Python Input Methods for Competitive Programming
- Vulnerability in input() function – Python 2.x
- Python | Output using print() function
- How to print without newline in Python?
- Python | end parameter in print()
- Python | sep parameter in print()
- Python | Output Formatting
Python Data Types
Python Variables
- Variables, expression, condition and function
- Maximum possible value of an integer in python?
- Global and local variables in python
- Packing and unpacking arguments in python
- Type conversion in python
- Byte objects vs string in python
- Print single and multiple variable
- Swap variable
- Private variables
- __name__ (A Special variable) in Python
Python Operators
- Basic operator in python
- Logical and bitwise not operator on boolean
- Ternary operator
- Division operator in python
- Operator Overloading in Python
- Any & all in python
- Inplace and standard operators in python
- Operator function in python | Set – 1
- Inplace operator | Set -1
- Logic Gates in Python
- Python | a += b is not always a = a + b
- Difference between == and is operator in Python
- Python Membership and Identity Operators | in, not in, is, is not
Python Control Flow
- Python Loops
- Loops and Control Statements (continue, break and pass) in Python
- Looping technique in python
- range vs xrange on python
- Programs for printing pyramid technique in python
- Chaining comparison in python
- else with for
- switch function
- Using iteration in python effectively
- 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
Python Functions
- Functions 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 OOPs Concepts
- Python3 Intermediate Level Topics
- 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
- First class function
- Metaprogramming with metaclasses
- Class and instance attribute
- Reflection
- Garbage collection
Python Exception Handling
Python Collections
Django Framework
Data Analysis
Python Numpy
- Python Numpy
- Numpy | ndarray
- Numpy | Array Creation
- Numpy | Data Type Objects
- Data type Object (dtype) in NumPy
- Numpy | Indexing
- Numpy | Basic Slicing and Advanced Indexing
- Numpy | Iterating Over Array
- Numpy | Binary Operations
- Numpy | Linear Algebra
- Numpy | Sorting, Searching and Counting
Python Pandas
- Pandas Tutorial
- Python | Pandas DataFrame
- Creating a Pandas DataFrame
- Dealing with Rows and Columns in Pandas DataFrame
- Indexing and Selecting Data with Pandas
- Boolean Indexing in Pandas
- Conversion Functions in Pandas DataFrame
- Iterating over rows and columns in Pandas DataFrame
- Working with Missing Data in Pandas
- Python | Pandas Series
- Data analysis using Pandas
- Read csv using pandas.read_csv()
Machine Learning with Python
- Machine Learning Tutorial
- Linear Regression
- Understanding Logistic Regression
- K means Clustering
- Python | Image Classification using keras
- creating a simple machine learning model
- Python | Implementation of Movie Recommender System
- ML | Boston Housing Kaggle Challenge with Linear Regression
- Cancer cell classification using Scikit-learn
- Saving a machine learning Model
- Applying Convolutional Neural Network on mnist dataset
- Python | NLP analysis of Restaurant reviews
- Learning Model Building in Scikit-learn
- Implementing Artificial Neural Network training process
- A single neuron neural network in Python
- Python | How and where to apply Feature Scaling?
- Identifying handwritten digits using Logistic Regression in PyTorch
Python GUI
- Tkinter Tutorial
- Kivy Tutorial
- Python GUI – tkinter
- Simple GUI calculator using Tkinter
- Simple registration form using Tkinter
- Create a stopwatch using python
- Designing GUI applications Using PyQt
- Color game using Tkinter in Python
- Make Notepad using Tkinter
- Message Encode-Decode using Tkinter
- Real time currency convertor using Tkinter
Modules in Python
Working With Database
Misc
Applications and Projects
- Python | Program to crawl a web page and get most frequent words
- Facebook login using python
- FB Chatting through python
- C/C++ code formating tool
- Find Live running status and PNR of any train using Railway API
- Fetching top news using News API
- Fetching text from Wikipedia’s Infobox in Python
- Get emotions of images using Microsoft emotion API in Python
- Website blocker
- Send SMS updates to mobile phone using python
- Python Desktop News Notifier in 20 lines
- Morse Code Translator In Python
- Performing Google Search using Python code
- Reading and generating qr code
- Birthday reminder application in python
- Program to display Astrological sign or Zodiac sign for given date of birth
- Track bird migration
- News notifier
- whatsapp using python
- Python | Automating Happy Birthday post on Facebook using Selenium
- Design a Keylogger in Python
- Python | Implementation of Movie Recommender System
Recommended Python Tutorials
Also, check
Python Quiz
To achieve a solid understanding of Python, it’s very important to engage with Python quizzes and MCQs. These quizzes can enhance your ability to solve similar questions and improve your problem-solving skills.
Here are some quiz articles related to Python:
Python Jobs
Python is the most in-demand programming language in 2024, with companies of all sizes hiring for Python programmers to develop websites, software, and applications, as well as to work on data science, AI, and machine learning technologies. There is a high shortage of Python programmers, and those with 3-5 years of experience can command salaries of around $150,000 per year in the United States.
Here is a list of companies that are hiring Python programmers:
- Accenture
- Cognizant
- HCL Technologies
- Capgemini
- IBM India
- Microsoft India
- Amazon India
- Adobe Inc
- Oracle Inc
- Intel India
- Deloitte India
- Cisco Systems Inc
Careers with Python
If you are a Python developer, you are in high demand. There are many jobs available in the current IT/Software development market for freshers who know Python well.
- Web developer
- Backend developer
- Data scientist
- Machine learning engineer
- Software engineer
- Systems Engineer
- DevOps Engineer
- Cloud engineer
- Mobile Developer
- Game developer
- Research engineer
- Quality assurance engineer
- Technical writer
- Product Manager
- Technical support specialist
Python Online Compiler/Interpreter
There are two ways you can execute your Python program. first, we write a program in a file and run it one time. Second, run a code line by line. Here we provided the latest Python 3 version compiler where you can edit and compile your written code directly with just one click of the RUN Button.
Python3
# Python Program to print Hello World
print("Hello World! I Don't Give a Bug")
Hello World! I Don't Give a Bug
“Give this Python code a try, and here’s a fun challenge: print ‘Hello World’ along with your name!”
Applications of Python
There is a wide range of applications that Python can be used for.
- Web development: Django, Flask, Pyramid
- Machine learning and artificial intelligence: TensorFlow, PyTorch, scikit-learn
- Data science and data visualization: NumPy, Pandas, Matplotlib, Seaborn
- Desktop GUI: PyQt, Tkinter, Kivy
- Web scraping: Scrapy, Beautiful Soup, Selenium
- Game development: Pygame, Godot, Unity (with Python plugin)
- Business applications: Odoo, ERPNext, Tryton
- Audio and video applications: FFmpeg, Librosa, OpenCV
- Embedded applications: MicroPython, CircuitPython, Py板
Trending Python Applications in 2024
Here are some of the trending Python applications in 2024:
- NExT-GPT: A multimodal large language model that can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.
- ControlNet: A diffusion model that can be controlled to generate specific images.
- ProPainter: A video inpainting model that can fill in missing parts of videos.
- ivy: A unified AI framework that supports multiple machine learning libraries.
- openpilot: An open source driver assistance system.
- Langchain-Chatchat: A local knowledge-based LLM QA app.
Note: These latest applications are all still under development, but they show the potential of Python for creating new and innovative applications.
Python Tutorial – Prerequisites
Readers of this beginner’s Python tutorial are expected to have a reasonable familiarity with programming environments and basic concepts such as variables, commands, and syntax.
Frequent Asked Questions about Python
1. Is Python an easy programming language to learn?
Python’s reputation for ease of use stems from its clear, English-like syntax, intuitive structure, and emphasis on readability. It prioritizes simplicity and clarity, making it approachable for beginners and experienced programmers alike.
2. Can I learn Python in month?
Yes, it is possible to learn Python in a month. However, it will depend on how much time you can dedicate to learning the language and how quickly you can grasp new concepts.
3. How many months is the full course of Python?
Well, to become a proficient in Python programming language, it will take around a year. And it will totally depends on your programming skills and understanding.
4. How to start learning Python?
To start Python programming you can follow below steps:
- Practice consistently: Set aside regular time to write code and experiment. Even a few minutes daily can make a difference.
- Start with the basics: Master variables, data types, operators, control flow (if statements, loops), functions, and modules.
- Work on projects: Apply your knowledge by building small programs or scripts. This will solidify your understanding and motivation.
- Join a community: Connect with other learners and developers for support and inspiration. Check out Python forums, online groups, and local meetups.
5. What is Python programming language used for?
Here’s a comprehensive overview of Python’s diverse applications:
- Web Development
- Data Science and Machine Learning
- Automation and Scripting
- Software Development
