Anaconda provides a handy GUI, a slew of work environments, and tools to simplify the process of using Python for data science. No question about it, Python is a crucial part of modern data science.

Intel® Distribution for Python is a distribution of commonly used packages for computation and data intensive domains, such as scientific and engineering computing, big data, and data science. With ...

If you’re doing work in statistics, data science, or machine learning, the odds are high you’re using Python. And for good reason, too: The rich ecosystem of libraries and tooling, and the convenience ...

These are my go-to libraries for Python data crunching.

Master Powerful Python Package for Machine Learning, Artificial Neural Networks (ANN) & Deep Learning Master PyTorch for Artificial Neural Networks (ANN) & Deep Learning Get Introduced to Deep Neural ...

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

What do you get when you combine the No. 1 code editor with the No. 1 programming language for data science? You get more than 60 million installs of the Python ...

This week, I experimented with building a CNN (Convolutional Neural Network) image classification model. I wanted to give GitHub Copilot a try. GitHub Copilot is an AI pair programmer that helps with ...