This repository provides a comprehensive list of packages and online tutorials for Multi-Omics and NGS data analysis in both R and Python programming languages. This list covers a comprehensive set of ...

These tutorials are designed to run on Jupyter, a browser based interactive notebook that allows you to run the tutorial in the cloud without any additional setup. On the day of the tutorial, you can ...

Python developers often need to install and manage third-party libraries. The most reliable way to do this is with pip, Python’s official package manager. To avoid package conflicts and system errors, ...

Modern Python developers use virtual environments (venvs), to keep their projects and dependencies separate. Managing project dependencies gets more complex as the number of dependencies grows.

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.