DevOps professionals have a bag of tricks to make CI/CD work. But those tricks create a schism between dev and test environments, causing the “works ...

This tutorial will teach you how to build a simple recommendation engine using Python by analyzing data from previous purchases to help identify items that ...

How can you distribute your Python code to users who expect to simply click on an executable file? This blog compares two of the most ...

Multithreading, multiprocessing and queues can be a great way to speed up Python performance. This blog post can help you understand the differences, and help ...

This post explores Python's built-in packages and functions that simplify adoption, increase developer productivity and promote code consistency.

Containerized dev environments are isolated from the underlying system. By comparison, ActiveState language runtimes exist as standalone development environments within the systems that run them. ...

One of the biggest headaches that arise when working with multiple projects in Python is managing the dependencies that differ between them. This blog discusses ...

TensorFlow and PyTorch have accelerated the use of neural networks in commercial and research applications. This post compares them, and lets you make up your ...

This tutorial reviews the basics of how and when to use each Python data type, and will also point out some of the differences between ...

There's a real philosophical difference between NLTK and spaCy. NLTK was built by scholars as a tool to help you create complex NLP functions. In ...

Data visualization provides a powerful tool to explore, understand, and communicate the valuable insights and relationships that may be hidden within data. This article compares ...

Python is good at providing developers with easy ways to make use of complex C code libraries to accomplish compute-intensive tasks. In this blog, we'll ...