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'''
------------------------------------------------------------------------------  
File name      : insta_downloader.py
Description    : Dowload all conetents from instagram
Python Version : 3.6.2
Copyright      : Open Source (MIT)
------------------------------------------------------------------------------
Version    Date          Author                  Remarks
1.1        15-July-2020  Athul Mathew            Created
------------------------------------------------------------------------------

toshihiroryuu

from multiprocessing.process import Process
import time
import redis

def pub(myredis):
    for n in range(10):
        myredis.publish('channel','blah %d' % n)
        time.sleep(5)

def sub(myredis, name):

toshihiroryuu

Building Caffe

Before Caffe can be build, Protobuf 3 needs to be build.
For best performance, you'll want:
•	One or more NVIDIA GPUs - GeForce RTX 2080 Ti present
•	An NVIDIA driver - NVIDIA-SMI 410.57 present
•	A CUDA toolkit – to be installed
•	cuDNN – to be installed
Building Protobuf :
To run Caffe and Tensorflow inside DIGITS side by side, protobuf 3 must be built from source.

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500 Internal Server Error – Analysis
		
1.	[Python] Flask Web App in Azure throws (Internal Server Error)

Firstly, it works fine locally on my computer.
So I tried to deploy my website to azure Web App, it deployed successfully, but it shows 'Internal Server Error' as I try to browse it. Checked logs and didn't find any specific problem. Here's wsgi log:
2016-10-16 16:34:09.476620: Activating venv with executable at D:\home\site\wwwroot\env\Scripts\python.exe
2016-10-16 16:34:09.507951: Getting handler Test_Azure.app
2016-10-16 16:34:10.242244: Activating venv with executable at D:\home\site\wwwroot\env\Scripts\python.exe
2016-10-16 16:34:10.257894: Getting handler Test_Azure.app

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Introduction

Nginx is one of the most popular web servers in the world and is responsible for hosting some of the largest and highest-traffic sites on the internet. It is more resource-friendly than Apache in most cases and can be used as a web server or a reverse proxy.

In this guide, we'll discuss how to get Nginx installed on your Ubuntu 16.04 server.
Prerequisites

Before you begin this guide, you should have a regular, non-root user with sudo privileges configured on your server. You can learn how to configure a regular user account by following our initial server setup guide for Ubuntu 16.04.

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from sklear.liner_model import LinerRegression 

linreg=LinerRegression()  

data_with_null = data[['passengerid', 'class','survived', 'age']].dropna()  
data_without_null = data_with_null.dropna()  

train_data_x = data_without_null.iolc[:,:4]  
train_data_y = data_without_null.iolc[:,4]  

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import pandas as pd 
import numpy as np 

df=pd.read_csv("/home/pima_indians_diabetes.csv",header=None)

# # to get a statistical summary of all columns, so that we can identify missing data by checking min value
# print(df.describe())

# print(df.head(20))

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from PIL import Image
import matplotlib.pyplot as plt
import numpy as np 


def gauss_noise(img):
    row,col,ch= img.height, img.width,3 
    
    loc = 0
    scale=30

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from PIL import Image
import matplotlib.pyplot as plt
   
class pixel_transformation:
    
    def __init__(self):
        self.red_added=0
        self.green_added=0
        self.blue_added=0
        self.red_sub=0

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# Parameters

# image : ndarray
#     Input image data. Will be converted to float.
# mode : str
#     One of the following strings, selecting the type of noise to add:

#     'gauss'     Gaussian-distributed additive noise.
#     'poisson'   Poisson-distributed noise generated from the data.
#     'saltandpepper'       Replaces random pixels with 0 or 1.