nikolovlazar

[
  // Navigation
  {
    "key": "ctrl-h",
    "command": "workbench.action.navigateLeft"
  },
  {
    "key": "ctrl-l",
    "command": "workbench.action.navigateRight"
  },

Strus

How to use clangd C/C++ LSP in any project

tl;dr: If you want to just know the method, skip to How to section

Clangd is a state-of-the-art C/C++ LSP that can be used in every popular text editors like Neovim, Emacs or VS Code. Even CLion uses clangd under the hood. Unfortunately, clangd requires compile_commands.json to work, and the easiest way to painlessly generate it is to use CMake.

For simple projects you can try to use Bear - it will capture compile commands and generate compile_commands.json. Although I could never make it work in big projects with custom or complicated build systems.

But what if I tell you you can quickly hack your way around that, and generate compile_commands.json for any project, no matter how compilcated? I have used that way at work for years, originaly because I used CLion which supported only CMake projects - but now I use that method succesfully with clangd and Neovim.

kristerw

#!/bin/sh

#
# Build GCC with support for offloading to NVIDIA GPUs.
#

work_dir=$HOME/offload/wrk
install_dir=$HOME/offload/install

# Location of the installed CUDA toolkit

jkleint

#!/usr/bin/env python
"""
Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.
"""

from __future__ import print_function, division

import numpy as np
from keras.layers import Convolution1D, Dense, MaxPooling1D, Flatten
from keras.models import Sequential

hemmer

#!/usr/bin/env python

from scipy import optimize
from scipy import integrate
import numpy as np
import sys

l, L = 0.02, 1
N = 128

aflaxman

DanOpcode

Mutt cheat sheet

Mail list

Movement

Key	Action
j	Move to the next undeleted entry.
k	Move to the previous undeleted entry.

ramhiser

import pandas as pd
import numpy as np
from sklearn.feature_extraction import DictVectorizer
 
def encode_onehot(df, cols):
    """
    One-hot encoding is applied to columns specified in a pandas DataFrame.
    
    Modified from: https://gist.github.com/kljensen/5452382
    

valc93

Source: https://www.reddit.com/r/linux/comments/14heuu/xfce_gala_plank_awesome/

Add the elementary daily ppa and install gala + plank + dconf-tools

sudo apt-add-repository ppa:elementary-os/daily
sudo apt-get update $$ sudo apt-get dist-upgrade
sudo apt-get install gala plank dconf-tools gtk2-engines-pixbuf

Set gala as xfce's default window manager

jctosta

Screen Quick Reference

Basic

Description	Command
Start a new session with session name	screen -S <session_name>
List running sessions / screens	screen -ls
Attach to a running session	screen -x
Attach to a running session with name	screen -r