30 Days of Python | Unlock your Python Potential
30 Days of Python | Unlock your Python Potential, available at $84.99, has an average rating of 4, with 45 lectures, based on 7465 reviews, and has 195124 subscribers.
You will learn about 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 This course is ideal for individuals who are Entrepreneurs and Non-Technical Founders or Anyone interested in learning Python or Beginners or Growth Hackers or Anyone interested in learning how to Scrape Websites for data/big data analysis or Anyone interested in Automating Email on their own terms It is particularly useful for Entrepreneurs and Non-Technical Founders or Anyone interested in learning Python or Beginners or Growth Hackers or Anyone interested in learning how to Scrape Websites for data/big data analysis or Anyone interested in Automating Email on their own terms.
Enroll now: 30 Days of Python | Unlock your Python Potential
Summary
Title: 30 Days of Python | Unlock your Python Potential
Price: $84.99
Average Rating: 4
Number of Lectures: 45
Number of Published Lectures: 45
Number of Curriculum Items: 45
Number of Published Curriculum Objects: 45
Original Price: $189.99
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- 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
Target Audiences
- 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
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 Curriculum
Chapter 1: Welcome
Lecture 1: Welcome
Lecture 2: Getting Help
Lecture 3: YouTube & Suggestions
Chapter 2: Days 1: Basics
Lecture 1: Setup, Strings, Variables, and Integers
Chapter 3: Day 2 & 3 | Lists, Dictionaries, Tuples, and Loops
Lecture 1: Day 2 – Lists
Lecture 2: Day 2 (cont) – Dictionaries & Tuples
Lecture 3: Day 3 – Loops: For Loops, and While Loops
Chapter 4: Day 4: Conditionals
Lecture 1: Day 4: Conditionals
Lecture 2: Day 4 (cont): Using Conditional Expressions
Chapter 5: Day 5: Functions
Lecture 1: Functions Part 1
Lecture 2: Functions Part 2
Chapter 6: Day 6: Advanced Strings
Lecture 1: Day 6 – String Substitution
Lecture 2: Day 6 – String Formatting and Substitutions All Together
Chapter 7: Days 7-9: Classes
Lecture 1: Day 7: Classes
Lecture 2: Day 8 – Classes Part 2
Lecture 3: Day 9: Classes Part 3
Lecture 4: Class Part 4
Chapter 8: Days 10 – 15: Python CSV, and Email | Do something Real
Lecture 1: Day 10: Setup Python to send Email with Gmail
Lecture 2: Day 11: HTML and Plain Text Emails through Python and Gmail
Lecture 3: Day 12 – Send Formatted Emails to a Set of Users
Lecture 4: Day 13 – Using External Template Files with Context Data in Python
Lecture 5: Day 14 – CSV Files with Python – Read, Write, & Append
Lecture 6: Day 15 – Functions to Dynamically Add Data to CSV with Python
Lecture 7: Day 16 – Edit CSV with Python Part 1
Lecture 8: Day 16 – Edit CSV with Python Part 2
Lecture 9: Day 17 – Read Data Function for CSV File
Lecture 10: Day 18 – Running Python Commands & Arguments in Terminal
Lecture 11: Day 19 – Integrating Part 1
Lecture 12: Day 20 – Integrating Part 2
Chapter 9: Days 21 – 24: Web Scraping with Python 3 Python Requests & BeautifulSoup
Lecture 1: Day 21 – Web Scraping with Python 3 Python Requests & BeautifulSoup
Lecture 2: Day 22 – Web Scraping Part 2
Lecture 3: Day 23 – Web Scraping Part 3
Lecture 4: Day 24 – Web Scraping Part 4
Chapter 10: Day 25: Web Scraping on Javascript Driven HTML
Lecture 1: Part 1 | Web Scraping on Javascript-Driven HTML using Python
Lecture 2: Part 2 | Web Scraping on Javascript-Driven HTML using Python
Chapter 11: Day 26: Get Data with an API
Lecture 1: Part 1 | Get Data with an API
Lecture 2: Part 2 | Get Data with an API
Chapter 12: Day 27 – 28: Text Messaging (SMS/MMS) with Python & Twilio
Lecture 1: Day 27 – Sending SMS Messages with Python & Twilio Part 1
Lecture 2: Day 27 – Part 2 – SMS Messages with Python & Twilio
Lecture 3: Day 28 – Twilio Python Client & SMS
Chapter 13: Day 29: Twitter API & Python
Lecture 1: Day 29: Twitter API with Python & python-twitter
Chapter 14: Day 30: Read Email Inbox using Python & Gmail
Lecture 1: Day 30 – Login with IMAP
Lecture 2: Day 30 – Fetch & Convert Email
Lecture 3: Day 30 – Save Emails Locally
Chapter 15: Thank you & Next Steps
Lecture 1: Thank you and Next Steps
Instructors
-
Justin Mitchel
Coding Entrepreneur & Teacher – 568,000+ Students
Rating Distribution
- 1 stars: 109 votes
- 2 stars: 179 votes
- 3 stars: 999 votes
- 4 stars: 2791 votes
- 5 stars: 3386 votes
Frequently Asked Questions
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