By: Anshul Singhvi

Re-posted from: https://info.juliahub.com/blog/julia-now-available-on-google-colab

The Julia programming language has officially joined the list of supported runtimes in Google Colab, marking a significant milestone for both the Julia and Jupyter communities. With its high-performance capabilities, access to powerful GPUs and TPUs, and ease of use, Julia is now more accessible than ever, allowing users to take full advantage of Colab’s cloud-based environment. Keep an eye out on the Julia Discourse announcement thread for tips and tricks!

By: Jasmine Chokshi

Re-posted from: https://info.juliahub.com/blog/next-gen-pharmaceutical-modeling-simulation

JuliaHub has recently announced a significant expansion in its commitment to the pharmaceutical sector by doubling its investment in its newly enhanced CFR Part 11-compliant pharmaceutical platform. This move underscores JuliaHub’s dedication to accelerating innovation in drug development and pharmaceutical research through high-performance modeling and simulation.

By: Jasmine Chokshi

Re-posted from: https://info.juliahub.com/blog/a-next-gen-approach-to-modeling

ModelingToolkit.jl is a high-performance modeling framework in Julia that integrates symbolic and numeric computations, to meet the needs of scientific computing and scientific machine learning. It combines elements from symbolic computational algebra systems with both causal and acausal equation-based modeling paradigms, offering an extensible and parallelizable environment for complex system modeling.