In this episode of Open Source Directions we were joined by Jeff Bezanson and Katie Hyatt who talk about the work they have been doing with Julia. Julia is a programming language that was designed from the beginning for high performance. It programs compile to native code for multiple platforms via LLVM. Julia is dynamically typed, feels like a scripting language, and has good support for interactive use.

Julia has a rich language of descriptive datatypes, and type declarations can be used to clarify and solidify programs. This language uses multiple dispatch as a paradigm, making it easy to express many object-oriented and functional programming patterns. It provides asynchronous I/O, debugging, logging, profiling, a package manager, and more.

In this episode of Open Source Directions we were joined by Aditya Mukhopadhyay who talked about the work he has been doing with RecallGraph. RecallGraph is a versioned-graph data store - it retains all changes that its data (vertices and edges) have gone through to reach their current state. It supports point-in-time graph traversals, letting the user query any past state of the graph just as easily as the present.

In this episode of Open Source Directions we were joined by Matthew Seal who talked about the work he has been doing with Jupyter and Nteract. Matthew also discussed a particular topic: common Jupyter tools and their adoption for various use cases in the wild.

OpenTechResponse is the hub for information sharing and coordination between

open source projects responding to an emergency or crisis situation.

Spyder is a powerful scientific environment written in Python, for Python, and

designed by and for scientists, engineers and data analysts. It offers a unique

combination of the advanced editing, analysis, debugging, and profiling functionality

of a comprehensive development tool with the data exploration, interactive execution,

deep inspection, and beautiful visualization capabilities of a scientific package.

Fortran is a compiled language which means that once written,

the source code must be passed through a compiler to produce

a machine executable that can be run.

Apache Arrow is a cross-language development platform for in-memory data.

It supports zero-copy streaming messaging and has support for a number of

languages, including C, C++, Python, R, Rust, and many others.

Jupyter Book lets you build an online book using a collection of

Jupyter Notebooks and Markdown files. Its output is similar to the

excellent Bookdown tool, and adds extra functionality for people

running a Jupyter stack.

Originally a port of the R package, pyjanitor has evolved from a set of convenient data cleaning

routines into an experiment with the method chaining paradigm. Data preprocessing usually consists

of a series of steps that involve transforming raw data into an understandable/usable format.

Bokeh is an interactive visualization library for modern web browsers.

It provides elegant, concise construction of versatile graphics, and

affords high-performance interactivity over large or streaming datasets.

Bokeh can help anyone who would like to quickly and easily make interactive

plots, dashboards, and data applications.

This is our second time visiting Bokeh, in preperation for the v2.0 release!