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About Julia
Julia was designed from the beginning for high performance. Julia programs compile to efficient native code for multiple platforms via LLVM. Julia uses multiple dispatch as a paradigm, making it easy to express many object-oriented and functional programming patterns. The talk on the Unreasonable Effectiveness of Multiple Dispatch explains why it works so well. Julia is dynamically typed, feels like a scripting language, and has good support for interactive use. Julia provides asynchronous I/O, metaprogramming, debugging, logging, profiling, a package manager, and more. One can build entire Applications and Microservices in Julia. Julia is an open source project with over 1,000 contributors. It is made available under the MIT license.
Other Popular Alternatives & Related Software
JuliaHub
Discover the packages you need, with documentation and source right at your fingertips. Create your own Julia packages — either public or private. Seamlessly transition from small subsets to large datasets on the cloud. Scale to thousands of CPUs and GPUs with a single click. Provide dashboards to colleagues for running code through a GUI. Pfizer conducted simulations of novel pharmacology of a treatment for heart failure 175x faster using GPUs in Julia. Aviva uses Julia for Solvency II compliance to model risk 1,000x faster with 93% fewer lines of code. Develop applications with a browser-based IDE. Collaborate with ease. Hosted on the cloud and paid by the minute, JuliaHub is the simplest way to get started with the fastest scientific, mathematical and statistical computation language yet.
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easybooking JULIA
As a host you have to spend many hours in front of the computer answering enquiries, writing bills and managing availabilities. With JULIA, the virtual receptionist, this effort has come to an end! JULIA is more than just a hotel program: as a complete solution, it takes care of the sale of beds independently and around the clock through online bookability and channel management. JULIA facilitates room administration, guest communication, registration, accounting, and much more. Thanks to numerous interfaces to booking platforms such as booking, Airbnb, or expedia, the software simultaneously meets the requirements of guests, hosts, and small hotels. From the inquiry to the thank you email: JULIA reminds you of open offers, transmits arrival information, and issues invoices. Automatically and in up to seven languages.
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JupyterLab
Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. JupyterLab is a web-based interactive development environment for Jupyter notebooks, code, and data. JupyterLab is flexible, configure and arrange the user interface to support a wide range of workflows in data science, scientific computing, and machine learning. JupyterLab is extensible and modular, write plugins that add new components and integrate with existing ones. The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include, data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala.
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Plotly Dash
Dash & Dash Enterprise let you build & deploy analytic web apps using Python, R, and Julia. No JavaScript or DevOps required. Through Dash, the world's largest companies elevate AI, ML, and Python analytics to business users at 5% the cost of a full-stack development approach. Deliver apps and dashboards that run advanced analytics: ML, NLP, forecasting, computer vision and more. Work in the languages you love: Python, R, and Julia. Reduce costs by migrating legacy, per-seat licensed software to Dash Enterprise's open-core, unlimited end-user pricing model. Move faster by deploying and updating Dash apps without an IT or DevOps team. Create pixel-perfect dashboards & web apps, without writing any CSS. Scale effortlessly with Kubernetes. Support mission-critical Python applications with high availability.
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Julia
julialang.org
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