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Autor Tópico: Web scraping in Python with BeautifulSoup by Example  (Lida 96 vezes)

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Online mitsumi

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Web scraping in Python with BeautifulSoup by Example
« em: 10 de Maio de 2021, 15:32 »
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 19 lectures (2 hour, 13 mins) | Size: 957 MB
Learn web scraping with Python using BeautifulSoup by building real world practical projects!

What you'll learn

Web scraping
Exctracting all kinds of data from the web
Storing data to CSV

Requirements

Basic python knowledge
Super basic HTML and CSS knowledge

Description

Web Scraping is one of the most important topics in programming and data science.

After I had learned the basics of programming in Python, I was looking to put my skills to practice and I quickly discovered web scraping and I've been hooked ever since. The thought of being able to extract data from all over the web

Web scraping is a tool that's used by many large companies for all kinds of use cases. You can learn web scraping too, I will help you!

Welcome to Web Scraping in Python with BeautifulSoup by Example!

In this course, you're going to learn how to scrape data off some of the most well-known websites which include:

IMDB

eBay

Wikipedia

and other websites

This course will be perfect for you if: you are interested to gather data for your machine learning or data science project; you're looking for interesting real world projects to build in Python after learning the basics; automating different tasks for your needs and much more.

After learning the web scraping basics and approaches from this course, you will be able to apply these new-found skills to your own personal projects or to build scrapers for businesses.

Join me on this course and let's get ourselves some data.

Enroll now :) !

Who this course is for:

Beginner Python developers
Python developers looking to do something practical with their knowledge
Developers curious about data science
Anyone that's looking to automate data retrieval from the web

Screenshots


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