Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning, systems automation, web and API development, and more.

When deploying large-scale deep learning applications, C++ may be a better choice than Python to meet application demands or to optimize model performance. Therefore, I specifically document my recent ...

TensorFlow is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.

Overview The right Python libraries can dramatically improve speed, efficiency, and maintainability in 2025 ...

Learn Python the fun way, using gamified apps that turn coding into a game. Earn points, solve puzzles, and build real skills ...

Overview: The right GitHub repositories make backend learning faster and more practical.Frameworks and tools help build ...

Python is also great to use with APIs, for example, Google’s Page Speed Insights API. This will allow you to measure key performance metrics at scale, saving you time from having to test each URL.

Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...

Nvidia wants to extend the success of the GPU beyond graphics and deep learning to the full data science experience. Open source Python library Dask is the key to this.