Module Reference

Python is a versatile and widely-used programming language with a focus on readability and simplicity. It’s used in various fields, from web development to data science.

Key Features

  • Readability: Python’s syntax is clear and intuitive, making it an excellent choice for beginners.
  • Dynamic Typing: Types are determined at runtime, offering flexibility in coding.
  • Interpreted Nature: Python code is executed line by line, which simplifies debugging.
  • Extensive Libraries: A vast collection of standard libraries supports many common programming tasks.

Programming Paradigms

Python supports multiple programming paradigms:

  • Procedural: Based on procedures or routines.
  • Object-Oriented: Focused on creating reusable code.
  • Functional: Emphasizing the use of immutable data structures and pure functions.

Data Structures

Python offers a range of built-in data structures, such as lists, tuples, sets, and dictionaries, each with unique characteristics and use cases.

Error Handling

Python uses try-except blocks to handle exceptions, allowing for robust error management in programs.

File Handling

Python simplifies file operations, enabling easy reading, writing, and manipulating file content.

Regular Expressions

Python includes support for regular expressions, allowing for complex string matching and manipulation.

Modules and Packages

Python’s modular structure lets you organize code into modules and packages, promoting code reuse and maintainability.

Memory Management

Python handles memory allocation and garbage collection automatically, reducing the burden on the programmer.

Community and Ecosystem

Python’s large and active community contributes to its rich ecosystem, providing numerous external libraries and frameworks for various applications like web development (Django, Flask), data analysis (Pandas, NumPy), and machine learning (TensorFlow, scikit-learn).