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Introduction to Python

Python is an easy to learn and very powerful programming language. It has efficient data structures and a simple approach to object-oriented programming. Python’s syntax together with its interpreted nature, make it an ideal language for scripting and rapid application development. 

The Python interpreter and the python standard library are freely available for all major platforms from the Python’s official web site, https://www.python.org/.

Let's explore Top Python Practicals

Begin with following Important Python Topics

Installation	Basics of Python	Data Types
Numbers	Strings	Operators
Decision Making	Looping	Collections
Functions	File Management	Classes
Networking	Security	Python MCQs

Applications of Python

• Web Applications: Python is a popular choice for web development due to its readability and extensive frameworks. Frameworks like Django and Flask help build complex web applications.
• Data Science Applications: Python's rich ecosystem of data science libraries like NumPy, Pandas, and Matplotlib make it a leader in data analysis and visualization.
• Machine Learning and AI Applications: Python's TensorFlow, Keras, and PyTorch libraries allow developers to build and train complex machine learning models for tasks like image recognition and natural language processing.
• Game Development: Python can be used to create games using libraries like Pygame for simple 2D games or PyOpenGL for more complex 3D games.
• Scientific Computing Applications: Python's scientific computing libraries like SciPy and Mayavi are useful for tasks like numerical computation, data analysis, and visualization in scientific fields.
• Automation Applications: Python scripts can automate repetitive tasks on your computer, including web scraping, data processing, and file manipulation.
• Desktop GUI Applications: Python can be used to develop desktop applications with graphical user interfaces (GUIs) using libraries like Tkinter or PyQt.
• Web Scraping Applications: Python excels at web scraping with libraries like BeautifulSoup and Scrapy to extract data from websites.
• Business Applications: Python can be used in various business applications like data analysis, financial modeling, banking and insurance data analytics, and workflow automation.
• Image & Video Processing Applications: Python libraries like OpenCV allow for image and video processing tasks like object detection, image manipulation, and video analysis.

Why it is called Python?

Python programming language was originally designed by Guido van Rossum. When he began implementing Python, he was also reading the scripts from “Monty Python’s Flying Circus” (a BBC comedy series). He wanted a short, unique, and slightly mysterious name of language, so he decided to call the language Python. Python computer language has nothing to do with reptiles (pythons). 

Comments in Python

It is good practice to write comments in program code. In the header part of your program, you can write your name, date of program and practical definition. Comments are also used to describe the program logic.

Many of the python Practicals in this site include comments.

• # (hash) is the character used for Comments in Python. Any line started with # in Python code is considered as a comment line.
• A comment may appear at the start of a line but not within a string literal. A # character within a string literal is just a hash character.
• Comments are used to describe the code and are not interpreted by Python.

Example of Comments in Python Code

# This is the sample comment.
# Program is developed by K Patel.
# Date: 20-August-2019
# Definition: Python program to print Hello World.

print ("Hello Python Practicals")

Following # is not a comment as it is written inside a string

>>> print ("#Hello Python Practicals")
#Hello Python Practicals

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