![]() mod+Shift+q closes the current Terminal.mod+cursor_keys navigates between open Terminal windows on the screen (you can use j/ k/ l/ instead of cursor keys). ![]() mod+v ensures that the next Terminal opened (using mod+Enter) will be split vertically on the screen.mod+Enter opens a Terminal (additional Terminals are split horizontally on the screen).When you’re in i3, you should first take some time to experiment with the following key combinations, as well as experiment with how your mouse can be used to change focus between tiles: The mod key is the key you press alongside other keys to perform functions in i3. After logging into i3 for the first time, you must press Enter to generate the i3 configuration file ( ~/.config/i3/config), and then choose whether the Alt key or the Windows key (=Command key on a Mac) will be used as the mod key. Next, you’ll be able to choose i3 instead of your KDE or GNOME desktop from the display manager (login screen) menu the next time you log into a graphical desktop. For Arch Linux, this would be sudo pacman -S i3-wm (you can instead use sudo pacman -S i3-gaps to install an extended version of i3 that has more features). You can install i3 from your Linux distribution’s software repository. Once you install the appropriate packages using your Linux distribution’s package manager, the configuration steps are identical on any Linux distribution. In this post, I’ll walk through what I did. I’ve recently installed i3 on Asahi Linux (which is based on Arch Linux), and customized it for my developer workflow. It is easy to configure, and has great documentation available at While there are many different tiling window managers available, i3 is the most common one. To solve these problems, most software developers and Linux/UNIX administrators install and use a tiling window manager. But these desktop environments use a great deal of resources and are cumbersome when it comes to flexibility and navigation between applications and code. ![]() After sending the request, you should receive the result within one minute maximum.If you’re a Linux user, you’re probably using a desktop environment that looks like Windows (e.g. After 10 days, a more complex RNN model will be used for predictions in your city.Īlso (from version 2.3.0) added another ML model, which make prediction for temperatures for each of 24 hours for one day (chose LinearRegression) and update temperatures by hour each hour.Ĭode for backend part host on Google AppEngine. And for each city script will create a machine learning model to predict temperature for the next 1, 7, 10 days.įrom 1 to 10 observation LinearRegression model will be used for predictions in your city. Each day for each available city in the DB script will update the parameter of temperature. ![]() If your city not in DB, you will see all predictions are equal to temperature, which you got by the first visit. Show temperature at your location (one value for current temperature, update each hour, another - 24 hours predictions for present day) as well as your city, country, and which day is today.Īs an experimental option, you could see predictions for weather temperatures for the next 1, 7, 10 days(predict temperature at 12:00 AM in your city). ![]()
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