Why to Learn Python?
- Requires fewer lines of code compared to other programming languages.
- Provides Libraries / Frameworks like Django, Flask, Pandas, Tensorflow, Scikit-learn and many more for Web Development, AI/ML, Data Science and Data Analysis
- Cross-platform, works on Windows, Mac and Linux without major changes.
- Used by top tech companies like Google, Netflix and NASA.
- Many Python coding job opportunities in Software Development, Data Science and AI/ML.
Do you wish to learn Python in a scheduled manner ? Try our ongoing free course Python Skillup with weekly topic coverage, notes, daily quizzes and coding problems.
First Python Program
Here is a simple Python code, printing a string. We recommend you to edit the code and try to print your own name.
Output
Hello World
1. Python Basics
In this section, we’ll cover the basics of Python programming, including installing Python, writing first program, understanding comments and working with variables, keywords and operators. These are essential building blocks to get started with Python coding.
Before starting to learn python we need to install python on our system.
- Introduction
- Input and Output
- Variables
- Operators
- Quiz: Basics, I/O
- Keywords
- Data Types
- Quiz: Data Types, Numbers, Boolean
- Conditional Statements
- Python Loops
- Quiz: Control Flow, Loops
2. Python Functions
Python Functions are the backbone of organized and efficient code in Python. Here, in this section of Python 3 tutorial we'll explore their syntax, parameter handling, return values and variable scope. From basic concepts to advanced techniques like closures and decorators. Along the way, we'll also introduce versatile functions like range(), map, filter and lambda functions.
- Python Functions
- Pass Statement in Function
- Global and Local Variables
- Recursion in Python
- *args and **kwargs in Function
- ‘Self’ as Default Argument
- First Class Function
- Lambda Function
- Map, Reduce and Filter Function
- Inner Function
- Decorators
- Quiz: Functions
3. Python Data Structures
Python offers versatile collections of data types, including lists, string, tuples, sets, dictionaries and arrays. In this section, we will learn about each data types in detail.
- Strings
- List
- Quiz: List, String
- Tuples
- Dictionary
- Quiz: Tuples, Dictionary
- Sets
- Arrays
- List Comprehension
- Quiz: Sets, Arrays, List Comprehension
Python's collections module offers essential data structures, including the following:
To learn data structure and algorithm with python in detail, you can refer to our DSA with Python Tutorial.
4. Python OOPs Concepts
In this section of Python OOPs, we'll explore the core principles of object-oriented programming (OOP) in Python. From encapsulation to inheritance, polymorphism, abstract classes and iterators, we'll cover the essential concepts that helps you to build modular, reusable and scalable code.
5. Python Exception Handling
In this section of Python Tutorial, we'll explore Python Exception Handling that how Python deals with unexpected errors, enabling us to write fault-tolerant code. We'll cover file handling, including reading from and writing to files.
6. File Handling
In this section, we will cover file handling, including reading from and writing to files.
- File Handling
- Read Files
- Write/Create Files
- OS Module
- pathlib Module
- Directory Management
- Quiz: File Handling
7. Python Database Handling
In this section we will learn how to access and work with MySQL and MongoDB databases
8. Python Packages or Libraries
Python is a huge collection of Python Packages standard libraries that make development easier. These libraries help with a wide range of tasks and can save you a lot of time by providing ready-to-use tools.
Some commonly used types of libraries in Python include: