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.

  • icon for small classesSmall classes
  • 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.

Register at nobledesktop.com 

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