Top Python libraries that are helpful for both novices and experts

NumPy

This is one of the best libraries in the Python programming environment. It helps most users in support of and for large or multi-dimensional arrays and other matrices, along with more categorizations in terms of the collection of high mathematical functions.

Pandas

Pandas is a very good library for data analysis and manipulation; however, it assists most users to manage and ascertain their data effectively with the use of the available functions as required.

Matplotlib

This is a universal library mainly used for plotting libraries for the Python programming language and its numerical mathematics extension, NumPy. In addition, it was noted by most users that it also provides a significant and object-oriented API for embedding plots into applications.

Scikit-learn

Nationwide, Scikit-learn is a free software machine learning library for the Python programming language.

However, it has features of various classification, regression, and clustering algorithms, including support vector machines, random forests, gradient boosting, k-means, and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.

TensorFlow

This library is mainly designed to assist users with the end-to-end open source platform for machine learning. It has a comprehensive.

In addition, it is known to be a flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML.

Keras

Keras is also known to be one of the best high-level neural networks APIs. It was written in Python and capable of running on top of TensorFlow tasks, CNTK, or Theano.

PyTorch

PyTorch is also noted to be one of the open-source machine learning libraries. It is mainly used for applications such as computer vision and natural language processing. It’s a good library and very useful.

SciPy

This is a free and open-source Python library used for scientific computing and technical computing. In addition, it was noted that it contains universal modules precisely for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers, and many others.

SymPy

This is a Python library for exceptional symbolic mathematics. It was premeditated and aims to convert a full-featured computer algebra system while keeping the code as simple as possible in order to be coherent and easily extensible.

Spacy

Spacy is also known to be one of the strongest and a free, open-source library for advanced Natural Language Processing (NLP) in Python. Meanwhile, it was designed specifically for production use and helps build applications that process and understand large volumes of text.

About Author

SURF

See author's posts