Python Tutorial: Introduction, Home
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Python Programming Language
Python is a high-level, general-purpose and a 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 Programming Language is very well suited for Beginners, also for experienced programmers with other programming languages like C++ and Java.
This specially designed Python tutorial will help you learn Python Programming Language in most efficient way, with the topics from basics to advanced (like Web-scraping, Django, Deep-Learning, etc.) with examples.
Below are some facts about Python Programming Language:
1. Python is currently the most widely used multi-purpose, high-level programming language.
2. Python allows programming in Object-Oriented and Procedural paradigms.
3. Python programs generally are smaller than other programming languages like Java. Programmers have to type relatively less and indentation requirement of the language, makes them readable all the time.
4. Python language is being used by almost all tech-giant companies like – Google, Amazon, Facebook, Instagram, Dropbox, and Uber… etc.
5. 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
Python
is a simple, general purpose, high level, and object-oriented programming language.
Python
is an interpreted scripting language also. Guido Van Rossum is
known as the founder of Python programming.
Our
Python tutorial includes all topics of Python Programming such as installation,
control statements, Strings
, Lists
, Tuples
, Dictionary
, Modules
, Exceptions
, Date and Time, File I/O, Programs, etc. There are also given
Python interview questions to help you better understand Python Programming.
Python is a general-purpose
interpreted, interactive, object-oriented, and high-level programming language.
It was created by Guido van Rossum during 1985- 1990. Like Perl, Python source
code is also available under the GNU General Public License (GPL). This tutorial gives
enough understanding on Python programming language.
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Characteristics of Python
Following are important characteristics
of Python Programming −
- It supports functional and structured programming methods as well
as OOP.
- It can be used as a scripting language or can be compiled to
byte-code for building large applications.
- It provides very high-level dynamic data types and supports
dynamic type checking.
- It supports automatic garbage collection.
- It can be easily integrated with C, C++, COM, ActiveX, CORBA, and
Java.
Python Programming Examples
Basics, Input/output, Data Types, Variables, Operators, Control Flow, Functions, Object Oriented Concepts, Exception Handling, Python Collections, Django Framework, Data Analysis, Numpy, Pandas, Machine Learning with Python, Python GUI, Modules in Python, Working with Database, Misc, Applications and Projects.
Hello World using Python.
Just to give you a little
excitement about Python, I'm going to give you a small conventional Python
Hello World program, you can try it using Demo link.
print ("Hello, Python!");
Applications of Python
As mentioned before, Python is one of the most widely used language over the web. I'm going to list few of them here:Easy-to-learn − Python has few keywords, simple structure, and a clearly defined syntax. This allows the student to pick up the language quickly.
- Easy-to-read − Python code is more clearly defined and visible to the eyes.
- Easy-to-maintain − Python's source code is fairly easy-to-maintain.
- A broad standard library − Python's bulk of the library is very portable and cross-platform compatible on UNIX, Windows, and Macintosh.
- Interactive Mode − Python has support for an interactive mode which allows interactive testing and debugging of snippets of code.
- Portable − Python can run on a wide variety of hardware platforms and has the same interface on all platforms.
- Extendable − You can add low-level modules to the Python interpreter. These modules enable programmers to add to or customize their tools to be more efficient.
- Databases − Python provides interfaces to all major commercial databases.
- GUI Programming − Python supports GUI applications that can be created and ported to many system calls, libraries and windows systems, such as Windows MFC, Macintosh, and the X Window system of Unix.
- Scalable − Python provides a better structure and support for large programs than shell scripting.
Index
- Python Tutorial: Introduction, Home
- Python Features
- History or Philosophy of Python
- Python Applications
- Installation of Python
- Python Installation Under Linux
- Setup Visual Studio Code for Python
- Python Example
- Python: Identifiers
- Python Variables
- Python Data Types
- Keywords of Python
- Python Literals
- Python Operators
- Python Comments
- Python If else
- Python Loops
- Python For Loop
- Python While Loop
- Python Break
- Python Continue
- Python Pass
- Python Strings
- Python Lists
- Python Tuples
- Python List Vs Tuple
- Python Sets
- Python Dictionary
- Python Functions
- Python Built-in Functions
- Python Lambda Functions
- Python Files I/O
- Python Modules
- Python Exceptions
- Python Date
- Python Regex
- Python Sending Email
- Read CSV File
- Write CSV File
- Read Excel File
- Write Excel File
- Python Assert
- Python List Comprehension
- Python Collection Module
- Python Math Module
- Python OS Module
- Python Random Module
- Python Statistics Module
- Python Sys Module
- Python IDEs
- Python Arrays
- Command Line Arguments
- Python Magic Method
- Python Stack & Queue
- PySpark MLlib
- Python Decorator
- Python Generators
- Web Scraping Using Python
- Python JSON
- Python Itertools
- Python Multiprocessing
- How to Calculate Distance between Two Points using GEOPY
- Gmail API in Python
- How to Plot the Google Map using folium package in Python
- Grid Search in Python
- Python High Order Function
- nsetools in Python
- Python program to find the nth Fibonacci Number
- Python OpenCV object detection
- Python SimpleImputer module
- Second Largest Number in Python
Python OOPs
- Python OOPs Concepts
- Python Object Class
- Python Constructors
- Python Inheritance
- Abstraction in Python
Python MySQL
- Environment Setup
- Database Connection
- Creating New Database
- Creating Tables
- Insert Operation
- Read Operation
- Update Operation
- Join Operation
- Performing Transactions
Python MongoDB
- Python MongoDB
Python SQLite
- Python SQLite
Python Tkinter (GUI)
- Python Tkinter
- Tkinter Button
- Tkinter Canvas
- Tkinter Checkbutton
- Tkinter Entry
- Tkinter Frame
- Tkinter Label
- Tkinter Listbox
- Tkinter Menubutton
- Tkinter Menu
- Tkinter Message
- Tkinter Radiobutton
- Tkinter Scale
- Tkinter Scrollbar
- Tkinter Text
- Tkinter Toplevel
- Tkinter Spinbox
- Tkinter PanedWindow
- Tkinter LabelFrame
- Tkinter MessageBox
Python Web Blocker
- Introduction
- Building Python Script6
- Script Deployment on Linux
- Script Deployment on Windows
Related Tutorials
- NumPy Tutorial
- Django Tutorial
- Flask Tutorial
- Pandas Tutorial
- Pytorch Tutorial
- Pygame Tutorial
- Matplotlib Tutorial
- OpenCV Tutorial
- Openpyxl Tutorial
- Python CGI
- Python Design Pattern
Python Programs