cagbal

#include <iostream>

using namespace std;


template<class T> 
class MySuperSmartPtr
{
    public: 
    

cagbal

#include <iostream>
#include <memory>
#include <vector>

using namespace std;

template<class T> 
class MyVector
{
    

cagbal

# -*- coding: utf-8 -*-
"""
markovify kütüphanesi deneme 

"""

!pip install markovify

from google.colab import files
uploaded = files.upload()

cagbal

#!/usr/bin/env bash
set -ex

# Make it "0" if you have already OpenCV
INSTALL_OPENCV=0
# Make it "0" if you have already Dlib
INSTALL_DLIB=0
# Make it "0" if you have already Torch, but you need to install
# Torch packages manually
INSTALL_TORCH=0

cagbal

# This script is taken from http://stackoverflow.com/a/31396229/3244341

# This script installs Caffe and pycaffe on Ubuntu 14.04 x64 or 14.10 x64. CPU only, multi-threaded Caffe.
# Usage: 
# 0. Set up here how many cores you want to use during the installation:
# By default Caffe will use all these cores.
NUMBER_OF_CORES=8
# 1. Execute this script, e.g. "bash compile_caffe_ubuntu_14.04.sh" (~30 to 60 minutes on a new Ubuntu).
# 2. Open a new shell (or run "source ~/.bash_profile"). You're done. You can try 
#    running "import caffe" from the Python interpreter to test.

cagbal

// Go to additional drivers 
// Install tested version of NVIDIA Driver
// Reboot PC

// http://www.r-tutor.com/gpu-computing/cuda-installation/cuda7.5-ubuntu
// Download https://developer.nvidia.com/cuda-downloads
sudo dpkg -i cuda-repo-ubuntu1404_7.5-18_amd64.deb 
sudo apt-get update 
sudo apt-get install cuda 

cagbal

"""Utility functions"""

import os
import pandas as pd

def symbol_to_path(symbol, base_dir="data"):
    """Return CSV file path given ticker symbol."""
    return os.path.join(base_dir, "{}.csv".format(str(symbol)))

cagbal

while(1) // sonsuz döngü açıyoruz

{

 digitalOutput(Pin0,Pin1,Pin2,Pin3,Pin4,Pin5,Pin6,Pin7); // Pinlerin hepsini output yapıyoruz.

 digitalHIGH(Pin0,Pin1,Pin2,Pin3,Pin4,Pin5,Pin6,Pin7); // Bütün pinleri HIGH yapıyoruz.

 Delay_us(10); // 10 mikro saniye sensörün kapasitörünün dolmasını bekliyoruz.