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Python Libraries and Frameworks
Overview of Popular Libraries
- NumPy: A powerful library for numerical computations. It provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on them.
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- Pandas: A library for data manipulation and analysis. It provides data structures like Series and DataFrame, making it easier to handle structured data.
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- Matplotlib: A plotting library used to create static, interactive, and animated visualizations in Python.
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Introduction to Web Frameworks
- Flask: A lightweight web framework that is easy to get started with. Flask is known for its simplicity and flexibility, making it a good choice for small to medium-sized web applications.
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- Django: A high-level web framework that encourages rapid development and clean, pragmatic design. Django includes many built-in features, such as an admin panel, authentication, and ORM (Object-Relational Mapping).
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Working with APIs
APIs (Application Programming Interfaces): Allow applications to interact with each other. In Python, you can use libraries like requests to send HTTP requests to interact with web APIs.
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Common API Operations:
- GET: Retrieve data from an API.
- POST: Send data to an API to create or update resources.
- PUT: Update existing resources on the server.
- DELETE: Remove resources from the server.