Python for Automation

Learn how to gather, store, and analyze web data

In this class, you’ll learn how to automate time-consuming tasks using Python, such as gathering data from the internet. Whether your interests lie in social media, e-commerce, real estate, travel or government affairs, the ability to instantly collect up-to-date data across the web can be a big advantage.

Use Python code to grab precisely the data you want from a website. Along the way, you’ll learn how to write loops so that your web scraping code can process a large number of pages for you.

These fundamentals will be coupled with real-life examples of programs that can scrape valuable data from major websites. The class will also cover common pitfalls, how to run your programs on a regular schedule, and different formats for storing your scraped data.

This course is perfect for any programming beginner to become introduced to the powerful world of coding, and is a great fit for students with a clearly defined learning goal of using Python for web or software development. There is no math or coding requirement necessary, but prior knowledge of HTML & CSS equivalent to our HTML & CSS workshop is required.

This Python course is offered at our coding school, Noble Desktop, at 594 Broadway in SoHo.

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  • icon for small classesComputer provided
  • icon for small classesBook included
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Register for a Class 

$325 6 Hours Mac and PC provided 594 Broadway, NYC In-person classroom training

This course is offered at our design school, Noble Desktop, in SoHo. View upcoming dates and register for this course directly on Noble Desktop’s website.

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What You'll Learn

  • Learn the syntax of Python and how to construct programs
  • Learn how to run your programs on a regular schedule
  • How to handle errors

Full Course Syllabus

Download PDF Outline

Section 1

Introduction to HTML/CSS (Online)

  • How a website is served
  • Anatomy of a web page
  • HTML tags
  • IDs
  • CSS classes

Python Part 1

  • Integers + Floats
  • Variables
  • Strings
  • Methods + Functions

Section 2

Webscraping Exercise Part 1

  • Introduction to using packages
  • Requests packages
  • Performing a GET request
  • String manipulation
  • Debugging a Python script

Python Part 2

  • Booleans
  • Conditonal Statements
  • Lists
  • Indexing into strings + lists
  • Looping over lists

Section 3

Webscraping Exercises Part 2

  • Beautiful Soup package
  • Honing in on data
  • Common webscraping pitfalls
  • Using loops in webscraping

Storage and Scheduling

  • Text files
  • CSVs
  • Scheduling a Python Script