Introduction-to-Python-Programming-Language (1).pptx

Introduction-to-Python-Programming-Language (1).pptx

• 1.
  Introduction to Python ProgrammingLanguage Python, created by Guido van Rossum and first released in 1991, is a high-level, general-purpose, and interpreted programming language. It emphasises code readability through its significant indentation. The latest stable version is Python 3.13.3, released in July 2025.
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  History and Evolutionof Python Python was developed as a successor to the ABC language at CWI in the Netherlands. Python 2.0 was released in 2000, followed by Python 3.0 in 2008, which introduced some backward incompatibilities. Support for Python 2 officially ended in 2020. Guido van Rossum led the project until 2018; it is now managed by a Steering Council.
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  Why Learn Python?Summary Top 3 Ranked among the top 3 programming languages globally. Easy Beginner-friendly, yet powerful for experts. Versatile Used in web, data science, automation, AI, and more. Community Vast ecosystem of libraries and a large supportive community. Fast Ideal for rapid prototyping and production-ready software.
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  Key Features ofPython Multi-Paradigm Supports procedural, object-oriented, and functional programming. Dynamic & Automatic Dynamic typing and automatic memory management via garbage collection. Extensive Library Comes with a vast "batteries included" standard library. Cross-Platform Runs seamlessly on Windows, macOS, Linux, Raspberry Pi, and more.
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  Common Uses ofPython Python's versatility makes it a popular choice across various domains. • Python's versatility makes it a popular choice across various domains, from web development to data science and machine learning. • In web development, Python powers robust applications with popular frameworks like Django, Flask, and Pyramid. • For data science and machine learning, Python is essential for data manipulation, analysis, and building machine learning models using libraries like Pandas, NumPy, SciPy, and Keras. • Python is also extensively used for automation, scripting, software testing, and rapid application prototyping due to its simplicity and efficiency.
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  Popular Python Librariesand Tools Pandas For data manipulation and analysis. NumPy For numerical computing and array operations. Matplotlib For creating 2D/3D data visualisations. Requests Simplifies HTTP requests for web communication. OpenCV-Python For computer vision and image processing. Keras A high-level API for building deep learning neural networks.
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  Python Syntax Basics •Simplicity: English-like syntax with indentation defining code blocks. • No Semicolons: Uses new lines to end statements. • Structures: Supports functions, classes, loops, and conditionals with clear readability. • Interactive: Interpreter allows immediate code execution and testing. # Example: Hello World in Pythondef greet(name): return f"Hello, {name}!"message = greet("World")print(message)
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  Important Python Keywords Conditional if,else, elif Looping for, while, break, continue Definition def, class Asynchronous async, await Flow Control return, yield, try, except, finally These reserved, case-sensitive words define program structure and control flow, and cannot be used as identifiers. Examples also include: True, False, and None.
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  Thank you