Mahedi-61

# solving parity-3 problems using numpy only

from os import error
import numpy as np
import math 
np.random.seed(1)


def relu(x):
    return np.maximum(0, x)

Mahedi-61

# Replacing few page from a pdf file using another pdf file
pdftk A=first.pdf B=second.pdf cat A1 B1 A3-end output out.pdf
# Above code means second page of first.pdf is replaced by the first page of second PDF

# merging multiple files into one file
pdftk file1.pdf file2.pdf cat output mergedfile.pdf

Mahedi-61

Mahedi-61

#for equation 3
\begin{align*}
\alpha &= 
\begin{cases}
\tan^{-1}{\frac{|J_{2x}-J_{1x}|}{|J_{2y}-J_{1y}|}} & J_{2y} \neq J_{1y}\\
\pi/2 & J_{2y} = J_{1y}
\end{cases} \\ \noalign{\vskip10pt}

\beta &= 
\begin{cases}

Mahedi-61

"""
Author: A cup of Tea
Description: Algorithm about how BD government is going to find Abrar Murderer
"""

def findGuiltyToAbrarMurder():
    if(guilty == activistOfBCL):
        victim = activistOfShibir
        silenceLikeHell()
        useBruteForceToRemoveMovement(BCLGang, BDPolice)

Mahedi-61

# @Author: A Cup of Tea
# @Content: Gantt Chart for publishing a magazine within 3 month

import plotly.figure_factory as ff

df = [dict(Task="Assigning articles to writers", Start='2019-10-05', Finish='2019-10-25'),
      dict(Task="Knocking Writers", Start='2019-10-05', Finish='2019-10-30'),
      dict(Task="Collecting Articles", Start='2019-10-15', Finish='2019-11-10'),
      dict(Task="Initial Review", Start='2019-10-15', Finish='2019-10-30'),
      dict(Task="Request to Re-write", Start='2019-10-15', Finish='2019-11-15'),

Mahedi-61

## Refer to http://caffe.berkeleyvision.org/installation.html
# Contributions simplifying and improving our build system are welcome!

# cuDNN acceleration switch (uncomment to build with cuDNN).
USE_CUDNN := 1

# CPU-only switch (uncomment to build without GPU support).
# CPU_ONLY := 1

# uncomment to disable IO dependencies and corresponding data layers

Mahedi-61

#!/bin/bash
## This gist contains step by step instructions to install cuda v10.1 and cudnn 7.6 in CentOS 7
### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###

### to verify your gpu is cuda enable check

Mahedi-61

#!/bin/bash
# This gist is a step by step instructions to build and install OpenCV from source on CentOS 7
# note:  The easy and quick way to install is
# sudo yum install opencv opencv-devel opencv-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. 


### first update and upgrade pre-install yum packages.

Mahedi-61

#Author: Md Mahedi Hasan
#Date : 10/02/2019
#Description: Code for character segmentation in image

import cv2
import operator
import numpy as np
from matplotlib import pyplot as plt