30 Days of Python | Unlock your Python Potential
9h 22m 38s
English
Paid
Course description
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.
Read more about the course
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
Requirements:
- We show you how to install Python and how to work with it
- Mac OS X or Higher, Windows 8 or Higher, Linux
Who this course is for:
- Entrepreneurs and Non-Technical Founders
- Anyone interested in learning Python
- Beginners
- Growth Hackers
- Anyone interested in learning how to Scrape Websites for data/big data analysis
- Anyone interested in Automating Email on their own terms
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
Watch Online
Watch Online 30 Days of Python | Unlock your Python Potential
0:00
/ #1: Welcome
All Course Lessons (45)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Welcome Demo | 01:55 | |
| 2 | Getting Help | 06:44 | |
| 3 | YouTube & Suggestions | 02:37 | |
| 4 | Setup, Strings, Variables, and Integers | 15:35 | |
| 5 | Day 2 - Lists | 11:07 | |
| 6 | Day 2 (cont) - Dictionaries & Tuples | 12:52 | |
| 7 | Day 3 - Loops: For Loops, and While Loops | 10:49 | |
| 8 | Day 4: Conditionals | 08:12 | |
| 9 | Day 4 (cont): Using Conditional Expressions | 13:06 | |
| 10 | Functions Part 1 | 10:47 | |
| 11 | Functions Part 2 | 17:50 | |
| 12 | Day 6 - String Substitution | 11:48 | |
| 13 | Day 6 - String Formatting and Substitutions All Together | 10:43 | |
| 14 | Day 7: Classes | 14:19 | |
| 15 | Day 8 - Classes Part 2 | 13:00 | |
| 16 | Day 9: Classes Part 3 | 15:50 | |
| 17 | Class Part 4 | 12:29 | |
| 18 | Day 10: Setup Python to send Email with Gmail | 17:44 | |
| 19 | Day 11: HTML and Plain Text Emails through Python and Gmail | 10:10 | |
| 20 | Day 12 - Send Formatted Emails to a Set of Users | 11:18 | |
| 21 | Day 13 - Using External Template Files with Context Data in Python | 18:38 | |
| 22 | Day 14 - CSV Files with Python - Read, Write, & Append | 16:45 | |
| 23 | Day 15 - Functions to Dynamically Add Data to CSV with Python | 12:25 | |
| 24 | Day 16 - Edit CSV with Python Part 1 | 07:06 | |
| 25 | Day 16 - Edit CSV with Python Part 2 | 14:23 | |
| 26 | Day 17 - Read Data Function for CSV File | 07:58 | |
| 27 | Day 18 - Running Python Commands & Arguments in Terminal | 19:51 | |
| 28 | Day 19 - Integrating Part 1 | 10:41 | |
| 29 | Day 20 - Integrating Part 2 | 17:11 | |
| 30 | Day 21 - Web Scraping with Python 3 Python Requests & BeautifulSoup | 14:50 | |
| 31 | Day 22 - Web Scraping Part 2 | 15:01 | |
| 32 | Day 23 - Web Scraping Part 3 | 10:09 | |
| 33 | Day 24 - Web Scraping Part 4 | 18:54 | |
| 34 | Part 1 | Web Scraping on Javascript-Driven HTML using Python | 13:49 | |
| 35 | Part 2 | Web Scraping on Javascript-Driven HTML using Python | 16:19 | |
| 36 | Part 1 | Get Data with an API | 11:12 | |
| 37 | Part 2 | Get Data with an API | 14:19 | |
| 38 | Day 27 - Sending SMS Messages with Python & Twilio Part 1 | 07:48 | |
| 39 | Day 27 - Part 2 - SMS Messages with Python & Twilio | 16:40 | |
| 40 | Day 28 - Twilio Python Client & SMS | 16:22 | |
| 41 | Day 29: Twitter API with Python & python-twitter | 18:11 | |
| 42 | Day 30 - Login with IMAP | 04:04 | |
| 43 | Day 30 - Fetch & Convert Email | 10:18 | |
| 44 | Day 30 - Save Emails Locally | 18:43 | |
| 45 | Thank you and Next Steps | 02:06 |
Unlock unlimited learning
Get instant access to all 44 lessons in this course, plus thousands of other premium courses. One subscription, unlimited knowledge.
Learn more about subscriptionComments
0 commentsWant to join the conversation?
Sign in to commentSimilar courses
Beginner Python Primer for AI Engineering
Sources: Towards AI, Louis-François Bouchard
Don't just interact with LLM models - create your own AI solutions in Python. This course will take you from beginner to confident proficiency in Python...
1 hour 41 minutes 58 seconds
API Testing with Python 3 & PyTest, Backend Automation 2022
Sources: udemy
Learn how to use Python to test the back-end of web services or APIs. We use industry standard real eCommerce RESTful API to practice testing using Python progr
13 hours 59 minutes 14 seconds
Coding with AI
Sources: Jeremy Morgan
Let's be realistic. You would like to delegate many tedious software development tasks to an assistant - and now it's possible! Tools for...
Python for Data Science
Sources: LunarTech
Master key Python skills for data analysis, visualization, statistical analysis, and machine learning. Build a solid foundation for a successful start...
6 hours 21 minutes 57 seconds
Python for Financial Analysis and Algorithmic Trading
Sources: udemy
Welcome to Python for Financial Analysis and Algorithmic Trading! Are you interested in how people use Python to conduct rigorous financial analysis and pursue algorithmic tradi...
16 hours 54 minutes 20 seconds