List of Most Popular Python External Modules

Here’s a list of some of the most popular external Python modules across various domains. Below are just a few of the most popular external modules available in the vast collection of Python packages. Depending on the domain and specific needs, there are countless other valuable packages available to Python developers.

1. Web Development:

  • Django: A high-level web framework that encourages rapid development and clean, pragmatic design.
  • Flask: A lightweight and flexible micro web framework.

2. Data Analysis and Manipulation:

  • pandas: Provides high-performance, easy-to-use data structures and data analysis tools.
  • numpy: Fundamental package for numerical computations in Python.

3. Machine Learning and Artificial Intelligence:

  • scikit-learn: Machine learning library featuring various algorithms and tools.
  • TensorFlow: Open-source machine learning framework developed by Google.
  • PyTorch: An open-source deep learning platform by Facebook.

4. Data Visualization:

  • matplotlib: Comprehensive library for creating static, animated, and interactive visualizations.
  • seaborn: Data visualization library based on matplotlib; provides a higher-level interface for drawing attractive and informative statistical graphics.

5. Web Scraping:

  • BeautifulSoup: Library for pulling data out of HTML and XML documents.
  • Scrapy: An open-source and collaborative web crawling framework.

6. Networking and APIs:

  • requests: Simplifies making HTTP requests.
  • socket: Low-level networking interface.

7. Databases:

  • SQLAlchemy: SQL toolkit and Object-Relational Mapping (ORM) library.
  • sqlite3: Interface for SQLite databases.

8. Testing:

  • pytest: A robust framework for writing and executing tests.
  • unittest: (Part of the standard library) Unit testing framework.

9. GUI Development:

  • tkinter: Standard GUI library for Python.
  • PyQt: Set of Python bindings for the Qt application framework.

10. Scientific Computing:

  • SciPy: Library used for high-level computations.
  • SymPy: Python library for symbolic mathematics.

External Modules in Python

Python is one of the most popular programming languages because of its vast collection of modules which make the work of developers easy and save time from writing the code for a particular task for their program. Python provides various types of modules which include built-in modules and external modules. In this article, we will learn about the external modules in Python and how to use them.

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What are External Modules?

External modules are collections of pre-written code that offer additional functions, classes, or methods not available in Python’s standard library. These modules usually cater to specific needs like web scraping, data analysis, or machine learning. Python’s package manager, “pip”, makes it exceedingly simple to install and manage these modules....

Advantages of Using External Modules

Efficiency: Instead of writing code from scratch, you can leverage pre-built functionalities. Community Support: Many popular modules have vast communities, ensuring updates, bug fixes, and support. Standardization: Using common modules means adhering to widely accepted best practices....

List of Most Popular Python External Modules

Here’s a list of some of the most popular external Python modules across various domains. Below are just a few of the most popular external modules available in the vast collection of Python packages. Depending on the domain and specific needs, there are countless other valuable packages available to Python developers....

Examples of External Modules

Let’s understand it by using code examples of two popular external Python modules....

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