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Edcorner Learning - 52 Amazing Python Projects For Developers

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52 Amazing Python Projects For Developers
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Edcorner Learning
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Year:
2022
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Are you looking for python projects to excel in your career, You are at the right place!!
This Book consist of 52 Amazing Python Projects for All Developers/Students to practice different projects and scenarios. Use these learnings in professional tasks or daily learning projects.At the end of this book, you can download all this projects by using our link.All 52 projects are divided into different modules, every project is special in its own way of performing daily task by a developer. Every project has its source codes which learners can copy and practice/use on their own systems. If there is special requirement for any projects, its already mentioned in the book.

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52 Amazing Python

Projects For Developers

52 Amazing Python

Projects For Developers

Edcorner Learning

Table of Contents

Introduction

Python is a general-purpose interpreted, interactive, object- oriented, and a powerful programming language with dynamic semantics. It is an easy language to learn and become expert. Python is one among those rare languages that would claim to be both easy and powerful. Python's elegant syntax and dynamic typing alongside its interpreted nature makes it an ideal language for scripting and robust application development in many areas on giant platforms.

Python helps with the modules and packages, which inspires program modularity and code reuse. The Python interpreter and thus the extensive standard library are all available in source or binary form for free of charge for all critical platforms and can be freely distributed. Learning Python doesn't require any pre- requisites. However, one should have the elemental understanding of programming languages.

This Book consist of 52 Python Projects for All Developers/Students to practice different projects and scenarios. Use these learnings in professional tasks or daily learning projects.

At the end of this book, you can download all this projects by using our link.

All 52 projects are divided into different modules, every project is special in its own way of performing daily task by a developer. Every project has its source codes which learners can copy and practice/use on their own systems. If there is special requirement for any projects, its already mentioned in the book.

Happy learning!!

Module 1 Project 1 -10

1. LinkedIn Email Scraper

## Prerequisites:

1. Do `pip install -r requirements.txt` to make sure you have the necessary libraries.

2. Make sure you have a **chromedriver** installed and added to PATH.

3. Have the **URL** to your desired LinkedIn post ready (*make sure the post has some emails in the comments section*)

4. Have your **LinkedIn** account credentials ready

## Executing Application

1. Replace the values of the URL, email and password variables in the code with your own data

2. Either hit **run** if your IDE has the option or just type in `python main.py` in the terminal.

3. The names and corresponding email address scraped from the post should appear in the **emails.csv** file.

Requirements:

selenium

email-validator

Source Code:

from selenium import webdriver

from email_validator import validate_email, EmailNotValidError

import csv

def LinkedInEmailScraper(userEmail, userPassword):

emailList = {}

browser = webdriver.Chrome()

# example => 'https://www.linkedin.com/posts/faangpath_hiring-womxn-ghc2020-activity-6721287139721650176-QFCV/'

url = '[INSERT URL TO LINKEDIN POST]'

browser.get(url) # visits page of the desired post

browser.implicitly_wait(5)

commentDiv = browser.find_element_by_xpath(

'/html/body/main/section[1]/section[1]/div/div[3]/a[2]'

) # finds comment button

loginLink = commentDiv.get_attribute('href')

browser.get(loginLink)

email = browser.find_element_by_xpath('//*[@id="username"]')

password = browser.find_element_by_xpath('//*[@id="password"]')

email.send_keys(userEmail) # inputs email in email field

password.send_keys(userPassword) # inputs password in password field

submit = browser.find_element_by_xpath(

'//*[@id="app__container"]/main/div[3]/form/div[3]/button')

submit.submit() # submits form

browser.implicitly_wait(5)

commentSection = browser.find_element_by_css_selector(

'.comments-comments-list') # finds the comments section

for _ in range(

): # this can also be set to any number or "while True" if you want it to search through the whole comment section of the post

try:

moreCommentsButton = commentSection.find_element_by_class_name(

'comments-comments-list__show-previous-container'

).find_element_by_tag_name('button')

moreCommentsButton.click()

browser.implicitly_wait(5)

except:

print('End of checking comments')

break

browser.implicitly_wait(20)

comments = commentSection.find_elements_by_tag_name(

'article') # finds all individual comments

for comment in comments:

try:

commenterName = comment.find_element_by_class_name(

'hoverable-link-text') # finds name of commenter

commentText = comment.find_element_by_tag_name('p')

commenterEmail = commentText.find_element_by_tag_name(

'a').get_attribute('innerHTML') # finds email of commenter

# validates email address

validEmail = validate_email(commenterEmail)

commenterEmail = validEmail.email

except:

continue

emailList[commenterName.get_attribute('innerHTML')] = commenterEmail

browser.quit()

return emailList

def DictToCSV(input_dict):

'''

Converts dictionary into csv

'''

with open('./LinkedIn Email Scraper/emails.csv', 'w') as f:

f.write('name,email\n')

for key in input_dict:

f.write('%s,%s\n' % (key, input_dict[key]))

f.close()

if __name__ == '__main__':

userEmail = '[INSERT YOUR EMAIL ADDRESS FOR LINKEDIN ACCOUNT]'

userPassword = '[INSERT YOUR PASSWORD FOR LINKEDIN ACCOUNT'

emailList = LinkedInEmailScraper(userEmail, userPassword)

DictToCSV(emailList)

2. Cricbuzz scrapper

This python script will scrap cricbuzz.com to get live scores of the matches.

## Setup

* Install the dependencies

`pip install -r requirements.txt`

* Run the file

`python live_score.py`

Requirement:

beautifulsoup4==4.9.3

bs4==0.0.1

pypiwin32==223

pywin32==228

soupsieve==2.0.1

urllib3==1.26.5

win10toast==0.9

Source Code:

from urllib.request import urlopen, Request

from bs4 import BeautifulSoup

from win10toast import ToastNotifier

import time

URL = 'http://www.cricbuzz.com/cricket-match/live-scores'

def notify(title, score):

# Function for Windows toast desktop notification

toaster = ToastNotifier()

# toaster.show_toast(score, "Get! Set! GO!", duration=5,icon_path='cricket.ico')

toaster.show_toast("CRICKET LIVE SCORE",

score,

duration=30,

icon_path='ipl.ico')

while True:

request = Request(URL, headers={'User-Agent': 'XYZ/3.0'})

response = urlopen(request, timeout=20).read()

data_content = response

# print(data_content)

# page = urlopen(URL)

soup = BeautifulSoup(data_content, 'html.parser')

update = []

# print(soup)

# print(soup.find_all('div',attrs={'class':'cb-col cb-col-100 cb-plyr-tbody cb-rank-hdr cb-lv-main'}))

for score in soup.find_all(

'div',

attrs={

'class':

'cb-col cb-col-100 cb-plyr-tbody cb-rank-hdr cb-lv-main'

}):

# print(score)

header = score.find('div',

attrs={'class': 'cb-col-100 cb-col cb-schdl'})

header = header.text.strip()

status = score.find('div',

attrs={'class': 'cb-scr-wll-chvrn cb-lv-scrs-col'})

s = status.text.strip()

notify(header, s)

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