shivanandmn

from concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor
from tqdm import tqdm 

def concurrency(function,data,length,method="thread"):
    if method=="thread":
        print("Mode :",method)
        with ThreadPoolExecutor() as pe:
           res = list(tqdm(pe.map(function,data),total=length))
           return res
    elif method=="process":

shivanandmn

Git

Global Settings

• Related Setup: https://gist.github.com/hofmannsven/6814278
• Related Pro Tips: https://ochronus.com/git-tips-from-the-trenches/
• Interactive Beginners Tutorial: http://try.github.io/
• Git Cheatsheet by GitHub: https://services.github.com/on-demand/downloads/github-git-cheat-sheet/

Reminder

Press minus + shift + s and return to chop/fold long lines!

shivanandmn

# For Windows users# Note: <> denotes changes to be made

#Create a conda environment
conda create --name <environment-name> python=<version:2.7/3.5>

#To create a requirements.txt file:
conda list #Gives you list of packages used for the environment

conda list -e > requirements.txt #Save all the info about packages to your folder

shivanandmn

To install Brew:
-/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)" 


Install ImageMagick 
-brew uninstall --force imagemagick
-brew install imagemagick@6
-echo 'export PATH="/usr/local/opt/imagemagick@6/bin:$PATH"' >> ~/.bash_profile
-brew link imagemagick@6 --force
If you need to have imagemagick@6 first in your PATH, run:

shivanandmn

git branch -a #get all branch
git checkout master #get to the master branch
git checkout -b new_branch #(create and get) new branch
  git push -u origin new_branch  #push changes to new_branch to repo. for first push -u will set upstream/tracker.

git pull origin guru #pull the repo from guru branch
git add . # add present changes 
git commit -m "fdhkfjd" # commit all the added changes.
  git push origin guru #then push it 

shivanandmn

import webbrowser
import pandas as pd 
df = pd.read_csv("sub.csv")
for i in df["files"].values.tolist():
    urls = "http://127.0.0.1:5000/question/"+str(i[:-3])
    #opens url in default browser, you can also use open_tab()
    webbrowser.get().open(url=urls)

shivanandmn

#pip install dlib
#download pretrained dlib file and unzip 
#$wget http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2
#$bzip2 -d /content/shape_predictor_68_face_landmarks.dat.bz2

import sys
import numpy as np 
import cv2 
#below line of code is used only in colab
from google.colab.patches import cv2_imshow

shivanandmn

#install upgraded to get full-dataset, otherwise you may get sample of it. 
!pip install -q kaggle==1.5.6

#upload kaggle.json file
from google.colab import files
files.upload()

#must create ~/.kaggle directory and copy kaggle.json to it.
!mkdir ~/.kaggle
!cp kaggle.json ~/.kaggle

shivanandmn

#install boost library
!sudo apt-get install libboost-dev
#boost-root or boost-include-directory may be here /usr/include/boost
####follow below with example
"""Consider your installing mesh from https://github.com/MPI-IS/mesh, it has makefile(filename:makefile)"""
#--Cloning repository
!git clone https://github.com/MPI-IS/mesh.git 
#--Providing permission to admin rights
!chmod 755 /content/mesh/Makefile
#--move to its project root directory by following command

shivanandmn

# changing the names of the files in a directory
import os
import re

path = os.getcwd()
k = os.listdir(path)
for files in k:
    x = re.search("\d+", files)
    if x is None:
        continue