Top 10 Python Libraries You Must Know In 2023
Python is one of the most popular and widely used programming languages today. Its simple syntax, vast collection of libraries, and versatility make it a favorite among developers for tasks like web development, data analysis, machine learning, and more.
One of Python's biggest strengths is its extensive ecosystem of open source libraries. These libraries extend the capabilities of Python and allow developers to tap into reusable code for common tasks, rather than reinventing the wheel.
In this article, we will explore the top 10 Python libraries that are most essential for developers to know in 2023. We will look at what each library does, its key features, and examples of its common applications.
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 large collection of high-level mathematical functions to operate on these arrays.
NumPy is extremely useful for tasks like:
- Performing mathematical and logical operations on arrays
- Fourier transforms and linear algebra operations
- Generating random numbers
