Python: Lists vs. Tuples vs. Sets vs. Dictionaries
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Lists:
Mutable: Lists are mutable, meaning you can modify their elements (add, remove, or change) after creation.
Ordered: Elements in a list are ordered and can be accessed by their index (position).
Syntax: Defined using square brackets [].
Example: my_list = [1, 2, 3, 4]
Tuples:
Immutable: Tuples are immutable, meaning once you create them, you cannot change their elements.
Ordered: Like lists, elements in a tuple have a specific order.
Syntax: Defined using parentheses ().
Example: my_tuple = (1, 2, 3, 4)
Top 15 Python libraries for artificial intelligence AI
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1. NumPy: NumPy is the fundamental package for scientific computing in Python. It provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays.
2. Pandas: Pandas is a data manipulation and analysis library. It offers data structures like data frames and series, making it easier to work with structured data, which is often encountered in AI and ML projects.
1. Django: Django is a high-level Python web framework that follows the "batteries-included" philosophy. It provides a robust and complete set of tools for building web applications, including an ORM (Object-Relational Mapping), authentication, routing, and more.
2. Flask: Flask is a lightweight and flexible micro-framework for web development in Python. It is simple to get started with and allows developers to choose and integrate components as needed. Flask is often favored for smaller, less complex projects and APIs.