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Scraping Website: How to Write a Script in Python

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Here's a python script that you can use as a model to scrape a website. Python script The below logic uses BeautifulSoup Package for web scraping. import requests from bs4 import BeautifulSoup url = 'https://www.example.com' response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') # Print the title of the webpage print(soup.title.text) # Print all the links in the webpage for link in soup.find_all('a'):     print(link.get('href')) In this script, we first import the Requests and Beautiful Soup libraries. We then define the URL we want to scrape and use the Requests library to send a GET request to that URL. We then pass the response text to Beautiful Soup to parse the HTML contents of the webpage. We then use Beautiful Soup to extract the title of the webpage and print it to the console. We also use a for loop to find all the links in the webpage and print their href attributes to the console. This is just a basic example, but
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Top Teradata Course details that you need to learn

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Teradata is most popular database among data warehousing projects. You will learn Teradata from any institute you want. My post intention is you just take a look on course contents you need to learn.
course contents

Course Contents You Need to Look Before You Start

Introduction to Teradata

  • Data warehousing concepts and SCD’s
  • OLTP & OLAP
  • Teradata Architecture & Physical Design
  • Teradata Vs. Other RDBMS
  • BYNETPEs
  • AMPs
  • Vprocs
  • Clique
  • Cluster
  • Data Storage
  • Data Distribution
  • Data Access
  • Teradata Space Management

Fault Tolerance

  • Data Protection

Teradata Indexes and Performance Tuning and Optimization

  • UPI – Unique Primary Index
  • NUPI – Non Unique Primary Index
  • USI – Unique Secondary Index
  • NUSI – Non Unique Secondary Index
  • PPI – Partition Primary Index
  • MLPPI – Multilevel Partition Primary Index
  • STJI – Single Table Join Index
  • MTJI – Multi Table Join Index
  • AJI – Aggregate Join Index
  • Global Temporary Tables and Volatile Temporary Tables
  • Different Types of Tables in Teradata RDBMS
  • Performance Tuning
  • Explain Plan

Teradata Application Utilities

  • Real-time hands-on Query Man / SQL Assistance

Teradata Application Utilities

  • BTEQ
  • FastExport
  • FastLoad
  • MultiLoad
  • TPump
  • Teradata Parallel Transporter (TPT)
  • High Level Design of DWH Architecture from customer request to SDLC
Finally, the above list, trust me, it is complete list. I am sure if you do some project, it is good you will get job easily.

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