- Python Introduction
- Python - Overview
- Python - History and Evolution
- Python - Significance in Modern Development
- Python - Understanding Python's design philosophy and the Zen of Python
- Python - Installing Python and Setting up the Development Environment
- Python - Setting Up the Development Environment
- Python - Basic Syntax and Execution of Python Scripts
- Python - Getting Started to Python
- Python Basics
- Python - Control flow (If statements, Loops - For and While)
- Python - Operators (Arithmetic, Comparison, Logical, Assignment)
- Python - Arithmetic Operators
- Python - Comparison Operators
- Python - Logical Operators
- Python - Assignment Operators
- Python - Integers (int)
- Python - Floats (float)
- Python - Strings (str)
- Python - Loop Control Statements
- Python - Loops
- Python - If Statements
- Python - Python's built-in functions
- Python - Using Built-in Functions
- Python - Examples of Common Built-in Functions
- Python Data Structures
- Python - Understanding Lists, Tuples, Sets, and Dictionaries
- Python - Lists
- Python - Tuples
- Python - Sets
- Python - Dictionaries
- Python - Operations on Data Structures (Indexing, Slicing, Appending, Removing)
- Python - Advanced Usage
- Python - Advanced Data Manipulation Techniques (List Comprehension, Dictionary comprehension)
- Python - List Comprehensions
- Python - Dictionary Comprehensions
- Python Functions and Modules
- Python - Defining a Function
- Python - Function arguments and return values
- Python - Function Arguments
- Python - Return Values
- Python - Defining and calling functions
- Python - Using the Return Value
- Python - Calling the Function with Arguments
- Python - Creating a Module
- Python - Importing a Module
- Python - Creating a Package
- Python - Importing from a Package
- Python - Creating and importing modules and packages
- Python - Introduction to Python standard libraries.
- Python - File and Directory Access
- Python - Internet Data Handling
- Python - Networking
- Python - Data Persistence and Serialization
- Python - Data Compression and Archiving
- Python - Concurrent Execution
- Python - Mathematics
- Python - Date and Time
- Python - Development Tools
- Python Object-Oriented Programming
- Python - Understanding classes and objects
- Python - Understanding Classes
- Python - Understanding Objects
- Python - Inheritance, encapsulation, and polymorphism
- Python - The constructor, class variables, and instance variables
- Python - Magic methods and their importance
- Python Error Handling and Debugging
- Python - Exceptions
- Python - Working Code Sample Demonstrating Both
- Python - Handling exceptions with try-except blocks
- Python - Syntax Errors versus Exceptions
- Python - Using logging for Debugging and Error tracking
- Python Working with Files
- Python - Reading from and writing to files
- Python - Writing to a File
- Python - Reading from a File
- Python - Combined Example of Reading and Writing
- Python - Understanding file handling modes
- Python - Common File Handling Modes
- Python - Working with different file formats (text, CSV, JSON)
- Python - Working with Text Files
- Python - Working with JSON Files
- Python - Working with CSV Files
- Python Web Scraping
- Python - Introduction to Beautiful Soup and requests library
- Python - Beautiful Soup
- Python - Requests Library
- Python - Legality of Web Scraping
- Python - Overview of web scraping and its legality
- Python - Combined Example: Using Both Requests and Beautiful Soup
- Python - Conclusion
Python - Overview
Python Tutorial for Beginners
Welcome to the Python Programming. We have come to the right place to learn Python, whether we are taking our first steps into the world of coding or looking to start our skills. This tutorial is specially designed for the beginners who don’t know Python. Throughout this tutorial, we will build a strong foundation in Python starting with the basics and slowly moving to the advanced topics.
Why Learn Python?
In the quickly changing digital world of today, Python has become a leader for both companies and developers. Python is well recognized for its ease of use and adaptability, making it the foundation for a wide range of applications, including data science, artificial intelligence, and web development. Its significance cannot be emphasized since it meets the sophisticated demands of seasoned experts while yet providing an approachable entry point for novices.
Of all coding languages, Python is the most versatile. Known for its readability and clear syntax, it's used by everyone from web developers to data scientists, and it is a great language for beginners to start Python.
Python is used in many different businesses, from analyzing large datasets at Netflix to powering Instagram's dynamic social network. The job prospects for those with proficiency in Python are increasing in tandem with the growing demand for such talents.
There are many other reasons which make Python as a top choice language −
- Python is an open-source source which means it's available free of cost.
- Python is simple and easy to learn.
- Python is versatile and can be used to create many different things.
- Python has powerful development libraries including AI, ML, etc.
- Python is a demandable language that ensures a high salary.
Overview
We have carefully designed our course to take learners from the fundamentals to more complex ideas as they embark on their Python adventure from scratch. First, we will start with basics like syntax and data types, and slowly move to the advanced sections like functions, loops, python data structures, and object-oriented programming.
This tutorial is divided into several sections that build on top of each other. Let's start from the beginning, and we'll wind up writing our very own Python programs in no time.
By the end of this code, they will be able to write understandable, effective code and build scalable, reliable apps. let's begin −
