Downloading a Python package to a local directory can be useful for several reasons. We can work without an Internet connection, ensure specific package versions, easily share with teammates, and...

When working on Python projects, it's crucial to ensure that the installed packages are compatible with each other. Incompatibilities can lead to unexpected errors, crashes, or even security vulnerabilities. Fortunately...

As your Python projects grow, it becomes essential to manage package installations efficiently. Thankfully, we can use requirements.txt file and the pip package manager to install Python packages. It simplifies...

The pip package manager is a valuable tool that allows to install, upgrade, and manage Python packages. However, at times, it becomes necessary to obtain detailed information about a specific...

Python has a package manager called pip, which simplifies the process of installing, upgrading, and removing packages. By obtaining a complete list of installed Python packages, developers gain a clear...

Torchtext offers a wide range of pre-processed datasets commonly used in natural language processing (NLP) research and applications. By having a comprehensive list of available datasets, users can quickly identify...

Torchaudio provides a collection of datasets, which can be incredibly useful for several reasons. It can be used for training and evaluation of audio models. The datasets serve as a...

Obtaining a list of all available datasets in Torchvision can be useful for researchers, practitioners, and enthusiasts in the field of computer vision. It can help to identify suitable datasets...

If you're starting to work with deep learning and using TensorFlow as your framework of choice, it can be useful to know of the available GPU devices on your system...

PyTorch provides support for utilizing Graphics Processing Units (GPUs) to accelerate computations and improve training times for deep learning models. Obtaining available GPU devices can be useful for identifying and...