Python was created by Guido van Rossum in 1980 and the first version was released in 2008. It is designed to be an easy to read programming language that optimizes developer time over computation time. Python can be used to automate simple tasks like building websites using frameworks like Django and Flask, create dashboards using Plotly and Dash, scrape data from websites, read and edit Excel and PDF files, and automate emails. It is also widely used for data science and machine learning tasks like analyzing large datasets with libraries like NumPy, creating visualizations with Matplotlib and Seaborn, and building predictive models with Scikit-learn and TensorFlow. Python supports basic data types like integers, floats, strings, lists, dictionaries,

1. PYTHON INTRO
History
• 1980 by Van Rossum
• First released in 2008
• First version as python 3, 3.1,3.2 etc current is 3.10
• Easy to use
• High readability of code

2. WHY PYTHON
• Designed for clear, logical code easy to read and learn
• Existing libraries and framework help in vide range of task
• Optimize developer time than computation time

3. AUTOMATING SIMPLE TASK LIKE
WEBSITE
• Backend of a website and user data (Django and Flask)
• Create interactive Dashboard for users (plotty & Dash)
• Search for files and edit
• Scarping from website
• Reading and editing excel file
• Work on pdf file
• Automate emails and text messages
• Fill out forms

4. DATA SCIENCE AND MACHINE LEARNING
• Analyse large data files (num,pi & pandas)
• Create visualizations (seabourne & matplotib)
• Perform machine learning tasks
• Create and run predictive algorithms (psyhic learn & tensor Flow)

5. DATA TYPES
• integers
• Floating points
• string
• Lists
• Dictionaries
• Tuples
• Sets
• booleans