Introduction to Python

Introduction to Python

• High-level, interpreted programming language
• Created in 1991 by Guido van Rossum
• Named after the British comedy group Monty Python's Flying Circus

Features

• Easy to learn: Simple syntax and indentation-based code structure
• Versatile: Can be used for web development, data analysis, artificial intelligence, and more
• Large community: Active and supportive community with many libraries and resources
• Cross-platform: Can run on Windows, macOS, and Linux

Basic Syntax

• Indentation: Uses spaces or tabs to denote code blocks
• Variables: No explicit declaration, assigned using the assignment operator (=)
• Data types: Integers, floats, strings, booleans, lists, dictionaries, and more
• Operators: Arithmetic, comparison, logical, and assignment operators

Control Structures

• Conditional statements: if, elif, else
• Loops: for, while
• Functions: Defining and calling reusable code blocks

Data Structures

• Lists: Ordered collections of items, can be modified
• Tuples: Ordered, immutable collections of items
• Dictionaries: Unordered collections of key-value pairs

Modules and Packages

• Modules: Pre-written code libraries that can be imported
• Packages: Collections of related modules
• PIP: Package installer for Python, used to easily install and manage packages

Applications

• Web development: Frameworks like Django and Flask for building web applications
• Data analysis: Libraries like NumPy, pandas, and matplotlib for data manipulation and visualization
• Artificial intelligence: Libraries like TensorFlow and Keras for machine learning and deep learning
• Scripting: Used for automating tasks, data processing, and more

Introduction to Python

• Python is a high-level, interpreted programming language.
• Created in 1991 by Guido van Rossum.
• Named after the British comedy group Monty Python's Flying Circus.

Features

• Python has a simple syntax and indentation-based code structure, making it easy to learn.
• It is a versatile language, suitable for web development, data analysis, artificial intelligence, and more.
• Python has a large and active community, with many libraries and resources available.
• It is a cross-platform language, capable of running on Windows, macOS, and Linux.

Basic Syntax

• Python uses indentation (spaces or tabs) to denote code blocks.
• Variables are assigned using the assignment operator (=) and do not require explicit declaration.
• The language supports various data types, including integers, floats, strings, booleans, lists, dictionaries, and more.
• Python provides arithmetic, comparison, logical, and assignment operators.

Control Structures

• Conditional statements in Python include if, elif, and else.
• Loops are categorized into for and while loops.
• Functions are defined and called as reusable code blocks.

Data Structures

• Lists are ordered collections of items that can be modified.
• Tuples are ordered, immutable collections of items.
• Dictionaries are unordered collections of key-value pairs.

Modules and Packages

• Modules are pre-written code libraries that can be imported into Python programs.
• Packages are collections of related modules.
• PIP (Package Installer for Python) is used to easily install and manage packages.

Applications

• Python is used in web development, with frameworks like Django and Flask.
• The language is used in data analysis, with libraries like NumPy, pandas, and matplotlib.
• Python is used in artificial intelligence, with libraries like TensorFlow and Keras.
• It is also used for scripting, automating tasks, data processing, and more.