A library is a reusable chunk of code that you can use in your programs or projects. A Python library is a collection of related modules. It makes Python Programming simpler and convenient for the programmer. Let’s have a look at some of the commonly used Python libraries:
1. Pandas –
Pandas is primarily used for data analysis, and it is one of the most commonly used Python libraries. With Pandas, you can load, manipulate, clean and analyze all kinds of data.
2. NumPy –
NumPy (Numerical Python) is a favorite library of data scientists because it supports for N-dimensional arrays. Mathematical and logical operations on arrays can be performed easily with Numpy.
3. Scikit-learn –
After cleaning and manipulating data with Pandas or NumPy, we need to build machine learning models , scikit-learn is the most popular labrary for building ML Models.
4. Tensorflow –
This free and open-source Python library is used fast numerical computing and it provides workflows to develop and train Machine Learning models.
5. Keras –
Keras is powerful library used to implement deep learning models as fast as possible for research and development and is used by companies Uber , Netflix etc.