Julia
Julia is a fast and user-friendly programming language for high-performance scientific computing.
IPython
IPython is an enhanced interactive Python environment aimed at maximizing productivity in workflows that combine data, computation and exploratory programming. It gave rise to the larger, cross-language Project Jupyter, and it continues to provide the default Python environment for the Jupyter platform.
Project Jupyter
Project Jupyter develops tools for interactive computing, research and education with an emphasis in data science workflows. Its flagship application is the widely used Jupyter Notebook, a web application that allows users to craft live narratives combining text, code and multimedia output.
pandas
pandas is a data wrangling platform for Python widely adopted in the scientific computing community. pandas provides easy-to-use data ingestion, transformation, and export functions.
NumPy
NumPy is a universal data structure that fundamentally enables data analysis in numerical computing by permitting the exchange of data between algorithms. NumPy is a foundational project for the Python scientific computing stack.