![]()
What is Docker?ĭocker is a container technology for Linux that allows a developer to package up an application with all of the parts it needs. If you want to learn more about Julia, you can look at its website and its wonderful documentation. #DOCKSTATION DOCKER CODE#You write the code, you can interact with the code in the REPL (like an IPython notebook) but functions are compiled as soon as you run them, making your code orders of magnitude faster, in some circumstances.įor some benchmarks you can look at this github repository. Julia aims to solve this problem thanks to its JIT (Just In Time) compiler: coding in Julia is as easy as coding in Python, and thanks to the possibility to write type annotations and generate type optimized code, it can be almost as fast as compiled languages. That is the so called two language problem, i.e the need to write the code two times, to cut it short. That’s the reason why ideas are often quickly prototyped using Python and then they are re-implemented using C++ for deployment. Languages like C++ and Fortran can be blazing fast, as the binaries are optimized for the machine they run on, but on the other hand it is difficult to code fluently in those languages. Thus, core libraries for computation are implemented using “low level languages” such as C++ or Fortran, and they are then called by Python functions. Python is considered one of the best languages (in the scientific world) for its simplicity and the vast community, but it tends to be slow and it doesn’t always use all the computational resource we have at hand. In physics, we want our code to run fast, but as we are not programmers we want also to quickly build a program to test new ideas. When programming, especially for scientific computations, one has to come into terms with both the complexity of the problem and the task of writing a good code. Julia is a high-level dynamic programming language designed to address the needs of high-performance numerical analysis and computational science, without the typical need of separate compilation to be fast, while also being effective for general-purpose programming, web use or as a specification language. #DOCKSTATION DOCKER INSTALL#If you can’t wait getting to work with Julia, you can directly skip to Install Docker! About the programs Julia #DOCKSTATION DOCKER HOW TO#We will show you how to connect a docker container to both VSCode and Atom, though it is suggested to use VSCode as the procedure is simpler and the Julia extension for Atom is no longer under active development.īut first, what are Julia and Docker? The following two paragraphs are meant to give you some context but they are not needed in order to follow through the tutorial. In this guide we will learn how to setup a fully containerized development environment for the Julia language. Connect to the Docker container from Atom.Connect to the Docker container from VSCode.If these initial troubleshooting steps do not help, please contact us at and we'll be happy to assist you. As of macOS 11.6.8 Big Sur and macOS 12.6.1 Monterey this issue is still present. #DOCKSTATION DOCKER UPDATE#We are hopeful this issue may be resolved by a future update to macOS but do not have a timeline for such a resolution. #DOCKSTATION DOCKER MAC#After logging back in, wait for an additional 30-60 seconds, then plug power back into the dock first and plug the dock into the Mac next (using the provided USB-C to USB-C cable the dock shipped with) and see if the behavior has improved.After the Mac has shutdown, wait for 60-90 seconds, then turn the Mac back on.(On your Mac, click the "Apple" menu and select "Shut Down") Please leave the dock disconnected until the final step. Unplug the dock from the Mac and unplug power from the dock.Charging should also be unaffected.įor most users simply unplugging the docking station from the computer, waiting 10-15 seconds, then reconnecting the docking station will restore the functionality, if this does not help please try these additional steps to fully reset the docking station and computer: The primary USB-C DisplayPort Alternate Mode based video output and connected display should remain functional after reboot. This issue affects the UD-ULTCDL (original version), UD-ULTC4K (original version), and UD-3900PDZ docking stations along with any connected USB 2.0 and 3.0 devices, including the two DisplayLink based video outputs, Ethernet, and audio controlled by the DisplayLink USB Graphics chipset. Some users have reported after macOS Big Sur 11.1 and newer that their USB-C Triple Display Docking Stations may not be correctly detected by Apple’s MacBook Air, MacBook Pro, Mac Mini, iMac, and Mac Studio computers with M1, M1 Pro, or M1 Max processors after being restarted, when powered on after being turned off, or after being in sleep mode and then woken up. ![]()
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |