Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
9 Hour(s) 21 Minute(s)
Language
English
Taught by
Justin Mitchel
Rating
Course Overview
Python is simple enough for beginners, powerful enough for the pros. Use it for IOT, Web Scraping, Big Data, and more.
In early 2016, Python passed Java as the #1 beginners language in the world. Why? It's because it's simple enough for beginners yet advanced enough for the pros.
SpaceX uses it to launch Rockets
Pixar uses Python to run their animation software
Instagram & Pinterest use it to run their web application (backend via Django)
Come learn with me and I'll show you how you can bend Python to your will. This course is great for beginners in Python at any age and any level of computer literacy.
The goal is simple: learn Python by building real projects step-by-step while we explain every concept along the way. For the next 30 Days you're going to learn how to:
- Scrape Data from nearly Any Website (including javascript-enabled sites)
- Build your own Python applications for all types of automation
- Send Emails & SMS text messages to your friends our your customers
- Read & Write CSV, aka comma separated values, files to better store your data locally and work in popular programs like Microsoft Excel and Apple Numbers
- Understand the basics behind the Python programming language so you're ready to build more advanced projects like Web Applications
Course Content
- 10 section(s)
- 45 lecture(s)
- Section 1 Welcome
- Section 2 Days 1: Basics
- Section 3 Day 2 & 3 | Lists, Dictionaries, Tuples, and Loops
- Section 4 Day 4: Conditionals
- Section 5 Day 5: Functions
- Section 6 Day 6: Advanced Strings
- Section 7 Days 7-9: Classes
- Section 8 Days 10 - 15: Python CSV, and Email | Do something Real
- Section 9 Days 21 - 24: Web Scraping with Python 3 Python Requests & BeautifulSoup
- Section 10 Day 25: Web Scraping on Javascript Driven HTML
What You’ll Learn
- Understand the Basics of Python
- Build Applications using Python
- Send Emails with Python
- Scrape Websites with Python to pull data
- Scrape dynamic-loaded (javascript-loaded) Websites with Python
- Read and Parse emails using Python
- Read / Write CSV (comma separated values) files to work in Excel/Numbers
- Use the Twitter API to send tweets easily through a few lines of code
- Use the Yelp API to pull data about all businesses they have on their site
Skills covered in this course
Reviews
-
JJim Brent
The repetitive reinforcement that builds on previous concepts, coupled with the bit sized presentation is excellent. The naming of the lectures for future reference and study make the organization of the course helpful for future concept reinforcement.
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SSamarendra Chakrabarti
great
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JJoshua Oyeshola Oluwafemi
perfect
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AAlessandro Tringali
Molti passaggi li ho trovati di difficile comprensione, spesso non piegava bene i passaggi
