Python for Engineers

COVID19Py

COVID19Py 0.3.0

A tiny Python package for easy access to up-to-date Coronavirus (COVID-19, SARS-CoV-2) cases data.

Installation - pip install COVID19Py

Usage - To use COVID19Py, you first need to import the package and then create a new instance:

import COVID19Py
covid = COVID19Py.COVID()

Public Datasets for Research & Innovation on Coronavirus

Python Programming for Quantitative Economics

This website presents a set of lectures on python programming for quantitative economics, designed and written by Thomas J. Sargent and John Stachurski.

Webiste

A python program for neural network trained with backpropagation with sigmoid function

import numpy as np
def nonlin(x,deriv=False):
    if(deriv==True):
        return x*(1-x)
    return 1/(1+np.exp(-x))
X = np.array([  [0,0,1],
                [0,1,1],
                [1,0,1],
                [1,1,1] ])
y = np.array([[0,0,1,1]]).T
np.random.seed(1)
syn0 = 2*np.random.random((3,1)) - 1
for iter in range(10000):
    l0 = X
    l1 = nonlin(np.dot(l0,syn0))
    l1_error = y - l1
    l1_delta = l1_error * nonlin(l1,True)
    syn0 += np.dot(l0.T,l1_delta)
print ("Output After Training:")
print (l1)

Pong - Python Game Tutorial

A Pong clone game tutorial for beginners using Python 3

First Come First Serve Process scheduling using python

process = []
total_waiting_time = 0
n = int(raw_input('Enter the total no of processes: '))
for i in xrange(n):
process.append([])
process[i].append(raw_input('Enter process name: '))
process[i].append(int(raw_input('Enter process arrival time : ')))
total_waiting_time += process[i][1]
process[i].append(int(raw_input('Enter process burst time: ')))
print ''

process.sort(key = lambda process:process[1])

print 'Process Name\tArrival Time\tBurst Time'
for i in xrange(n):
print process[i][0],'\t\t',process[i][1],'\t\t',process[i][2]

print 'Total waiting time: ', total_waiting_time
print 'Average waiting time: ',(total_waiting_time/n)

Python Any Where - Host, run, and code Python in the cloud

Basic plan gives you access to machines with a full Python environment already installed for free. You can develop and host your website or any other code directly from your browser without having to install software or manage your own server.

Python Any Where

Metaflow

Metaflow is a human-friendly Python library that helps scientists and engineers build and manage real-life data science projects. Metaflow was originally developed at Netflix to boost productivity of data scientists who work on a wide variety of projects from classical statistics to state-of-the-art deep learning.

pip install metaflow

Metaflow More Info

Metflow GitHub

Photon

Photon can extract the following data while crawling:

URLs (in-scope & out-of-scope)
URLs with parameters (example.com/gallery.php?id=2)
Intel (emails, social media accounts, amazon buckets etc.)
Files (pdf, png, xml etc.)
Secret keys (auth/API keys & hashes)
JavaScript files & Endpoints present in them
Strings matching custom regex pattern
Subdomains & DNS related data
The extracted information is saved in an organized manner or can be exported as json.

Python Regular Expression

A Regular Expression, is a sequence of characters that forms a search pattern. Python has a built-in package called re, which can be used to work with Regular Expressions.

(Example Code to remove symbols and numbers - compatible with Python 2.7.17)
import re
import string
input_str = "58597884|01:31:50|The rise of python stated by pythonforengineers blog"
print"Before Processing:",input_str
result = re.sub(r'\d+', '', input_str)
result = result.translate(string.maketrans("",""), string.punctuation)
print"After Processing:",result

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