Im-Himanshu

#Apply Lambda function to pandas 

# if we require other column as a logic for the new column
df = df.assign(Product=lambda x: (x['Field_1'] * x['Field_2'] * x['Field_3']))

# if we need to modify all the element of selected entity based only on that entity
# this will in-place update all the element
df = df.apply(lambda x: np.square(x) if x.name in ['a', 'e', 'g'] else x, axis=1)

# compare from the previous element of the colums use shift

Im-Himanshu

Vbox setup:
1. using the 7.0 and the iso file in my software.
  download oracleVM: https://download.virtualbox.org/virtualbox/7.0.4/VirtualBox-7.0.4-154605-Win.exe
  download ubuntu image: https://ubuntu.com/download/desktop
	vboxuser, changeme, foghorn9152


2. Adjust the screen resolution: 
	display>video Memory> 128MB
	enable 3d acceleration 

Im-Himanshu

go to : https://github.com/settings/tokens

generate a new token with all the repo access.

my token : 

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


use 

Im-Himanshu

https://towardsdatascience.com/python-environment-setup-for-deep-learning-on-windows-10-c373786e36d1

this article has all the links in short :

step-1 Install driver
https://www.nvidia.com/en-us/geforce/geforce-experience/

step-2: Install CUDA toolkit
  https://developer.nvidia.com/cuda-toolkit-archive
  Note: download 11.x for tf2 and 10.x for tf1 

Im-Himanshu

Install python AMDx64 version of desired python release (3.6, 3.8 etc) we can keep multiple python version together 
In the end of this installation select the option to update the python_path variable this will make the python availaible in cmd
```
which Python
./venv/Scripts/activate
deactivate
```

Create venv : 
-p : give path to specifc version of python to be used by venv

Im-Himanshu

Internally setupvars.sh edit two environment variable to include all openvino directory :

PYTHONPATH
PATH
Now these variable could easily be setup by running "C:\Program Files (x86)\IntelSWTools\openvino_2021.2.185\bin\setupvars.bat" in the same terminal in which you will run python but this will be temporary i.e. will work only in the current windows
To avoid running setupvars.sh everytime, you can permanently edit edit the environment variable as follows :

Copy the openvino python directory
source: C:\Program Files (x86)\IntelSWTools\openvino_2021.2.185\python\python3.8\openvino
dest : C:\\Users\goyal\Anaconda3\envs\tf2-gpu\lib\site-packages   

Im-Himanshu

Im-Himanshu

# do image augmenation on a folder
import json;
import os
import shutil

import cv2;
import numpy as np
import random
import imgaug as ia
import copy

Im-Himanshu

run jupyter notebook without tunnelling

jupyter notebook --port 3100 --ip 0.0.0.0 --no-browser

now run on IP address of the server like 10.10.5.49:3100/

make a cell run the bash command

use %%bash as the first line of the cell, will make the cell terminal

%%bash 

Im-Himanshu

import { Component, OnInit, AfterViewInit  } from '@angular/core';
import { ViewChild } from '@angular/core';

@Component({
  selector: 'app-root',
  templateUrl: './app.component.html',
  styleUrls: ['./app.component.css']
})
export class AppComponent implements OnInit,AfterViewInit {
  @ViewChild('videoElement') videoElement: any;