Python | Artificial Intelligence Master

Python is a high-level, interpreted, and general-purpose programming language that emphasizes readability and simplicity. It was created by Guido van Rossum and first released in 1991. Python’s syntax is designed to be clear and straightforward, making it easy to learn and use for both beginners and experienced developers.

 

1) Popular Use Cases:
  • Web Development: Frameworks like Django and Flask make it easy to build web applications.
  • Data Science and Machine Learning: Python is the language of choice for many data scientists, with libraries such as NumPy, pandas, Matplotlib, and TensorFlow.
  • Automation: Python is often used for automating repetitive tasks and writing scripts to manage systems or process data.
  • Software Development: Python can be used to build desktop apps, games, or even mobile apps with frameworks like Kivy.
  • Scripting: It’s great for writing short scripts for a variety of purposes, from system administration to data processing.
2) Why Python
  • Easy Syntax: Python’s syntax closely resembles English, making it more intuitive and readable.
  • Interpreted Language: Python code is executed line-by-line, which makes debugging easier and reduces the time between writing and running code.
  • Dynamic Typing: You don’t need to declare variable types explicitly; Python determines the type at runtime.
  • Object-Oriented: Python supports object-oriented programming (OOP), which helps in structuring programs and reusing code.
  • Extensive Standard Library: Python comes with a large standard library, which includes modules for file I/O, regular expressions, networking, databases, and more.
  • Cross-platform: Python is available on many platforms, including Windows, Linux, and macOS.
  • Community Support: Python has a massive global community, contributing to libraries, frameworks, and resources that extend its functionality.
3) IDE

There are many popular IDE’s

  1. Pycharm
  2. Jupiter Notebook
  3. Spyder

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