Mahedi-61

#!/bin/bash
# This gist is a step by step instructions to build and install OpenCV from source on ubuntu 18.04 LTS
# note:  The easy and quick way to install is
# sudo pip3 install opencv-python
# sudo pip3 install opencv-contrib-python
# But this easy pypi installation can’t open video files on GNU/Linux distribution or on mac OS X system.
# And on some system opencv binaries provided packages are not compiled.
# Therefor we have no way rather than build it from source. 

Mahedi-61

#!/bin/bash
## This gist is a step by step instructions to install cuda v8.0 and cudnn 6.0 on ubuntu 16.04
## official guide: http://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html 

### steps ####
# verify the system has a cuda-capable gpu
# verify the system has gcc installed
# download and install the nvidia cuda toolkit
# download cudnn
# setup environment variables

Mahedi-61

// my solution to problem http://codeforces.com/problemset/problem/897/B
#include<stdio.h>
#include<math.h>

int main(){

int num_digit = 0, remainder = 0;
long int num_palindrome, count = 0, n = 0;
long long int palindrome = 0, mod = 0, rev_num = 0, arr_sum = 0;

Mahedi-61

num_digit = 0
num_palindrome = 0
count = 0
n = 0
palindrome = 0
mod = 0
arr_sum = 0

s = input()
num_palindrome, mod = map(int, s.split())

Mahedi-61

#!/bin/bash
## This gist contains instructions about complete installation about ImageMagick, 
# a powerful open-source command line image editor tool


### installation ###
cd
sudo apt-get install build-essential checkinstall && sudo apt-get build-dep imagemagick -y

# get latest version of the imagemagic tar.gz file

Mahedi-61

#!/bin/bash
# This gist contains unix command useful for beginners who started working in remote server for their project.
# machine: Ubuntu 16.04

### Connection
# connecting to a remote system using SSH (Secure Shell)
ssh <remote_host>

# for different username on the remote system
ssh <user_name@remote_host>

Mahedi-61

#!/bin/bash
# Instructions for installing necessary packages for running machine learning projects in Ubuntu machine 

# first update and upgrade your system
sudo apt-get update
sudo apt-get install build-essential cmake g++ gfortran git pkg-config python-dev python3-tk software-properties-common wget

# install pip3 for working on python 3
sudo apt-get install python3-pip
pip3 install --upgrade pip

Mahedi-61

#!/bin/bash
# This gist contains commands used in my everyday life

### compressing a file
tar -czvf name-of-archive.tar.gz /path/to/directory-or-file

# -c: create an archive.
# -z: compress the archive with gzip.
# -v: verbosity
# -f: allows you to specify the filename of the archive

Mahedi-61

### command: sl (Steam Locomotive) :-) :-)
sudo apt-get install sl
# This command works even when you type ‘LS‘ and not ‘ls‘.


####  CMatrix is a simple program that shows the cool matrix scrolling lines in the terminal.
sudo apt-get install cmatrix

# for running cmatrix type
#cmatrix

Mahedi-61

setEPS()
postscript("example.eps")

nm=c(98.45, 97.58, 98.75, 96.92, 99.41) 
bag=c(56.23, 72.14, 72.73, 85.78, 87.10)
coat=c(16.93, 45.45,  41.50, 68.11, 55.13)

data=matrix(c(nm,bag,coat), ncol=3)
colnames(data)=c("normal", "bag", "coat")
rownames(data)=c("GEI+PCA", "SPAE", "GaitGAN", "PTSN", "Proposed")