Python is a simple, high-level, general-purpose, and object-oriented programming language.
In this programming, world python is very simple, easy to learn, and less time-consuming compared to its rival programming languages. Programs in python are usually shorter than in other programming languages like c++ or java.
Guido Van Rossum, founder of python in the late 1980s started working on python and the language was officially released in 1991. “Readability” is a key factor in Python’s philosophy and open source, which means that anyone can contribute to it.
Python is commonly used for :–
- Web development
- Al and Machine learning
- Data Analytics
- Search Engine Optimization (SEO)
- Blockchain
- Automation
- Game Development
Why Python?
Python’s large library of open source data analysis tools, web frameworks, and testing instruments make it a language embraced by a large community of coders for its many features like its easy-to-learn, built-in data structures, lots of libraries, free and easy-to-use, etc. Many businesses choose python as the main programming language (cisco, youtube, etc). Python has ranked among the top programming languages since 2018. As per the RedMonk Ranking report for the year 2020, Python outranks JAVA to become the second most popular programming language. The language has experienced tremendous growth of around 18-19% in the last 5 years.
Advantages of Python:
- Easy to read, learn and write
- Open source and free to use
- High-level language
- Extensive library
- Object-Oriented and Procedural Programming language
- Built-in data structures
- User friendly easy to read, write and learn
Applications of Python:
- Data science and Machine Learning
- Web Development
- Education and finance sector
- Mobile and software application
- Business and enterprise application
- Computer Vision or Image Processing Applications
- Games developments including fantasy leagues
- Graphics design and scientific applications
This tutorial covers everything about Python from basic to advanced.
- Python Keywords and Identifiers
- Python Statement, Indentation and Comments
- Python Variables, Constants and Literals
- Python Data Types
- Python Type Conversion and Type Casting
- Python Input, Output and Import
- Python Operators
- Python Namespace and Scope
- Python if…else Statement
- Python for Loop
- Python while Loop
- Python break and continue
- Python Functions
- Python Function Arguments
- Python Recursion
- Python Anonymous/Lambda Function
- Python Global, Local and Nonlocal variables
- Python Global Keyword
- Python Modules
- Python Package
- Python Numbers, Type Conversion and Mathematics
- Python List
- Python Tuple
- Python Strings
- Python Sets
- Python Dictionary
- Python File I/O
- Python Directory and Files Management
- Python Errors and Built-in Exceptions
- Python Exception Handling
- Python Custom Exceptions
- Python Object Oriented Programming
- Python Objects and Classes
- Python Inheritance
- Python Multiple Inheritance
- Python Operator Overloading
- Python Iterators
- Python Generators
- Python Closures
- Python Decorators
- Python @property decorator
- Python RegEx
- Python datetime
- Python strftime()
- Python strptime()