Requirements
- We show you how to install Python and how to work with it
- Mac OS X or Higher, Windows 8 or Higher, Linux
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.
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
Who is the target audience?
- 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
Curriculum For This Course
–
Welcome
11:12
–
Days 1: Basics
15:34
–
Day 2 & 3 | Lists, Dictionaries, Tuples, and Loops
34:43
–
Day 4: Conditionals
21:15
–
Day 5: Functions
28:35
–
Day 6: Advanced Strings
22:28
–
Days 7-9: Classes
55:33
–
Days 10 - 15: Python CSV, and Email | Do something Real
02:43:56
Day 11: HTML and Plain Text Emails through Python and Gmail
10:09
Day 12 - Send Formatted Emails to a Set of Users
11:17
Day 13 - Using External Template Files with Context Data in Python
18:37
Day 14 - CSV Files with Python - Read, Write, & Append
16:44
Day 15 - Functions to Dynamically Add Data to CSV with Python
12:24
Day 16 - Edit CSV with Python Part 1
07:05
Day 16 - Edit CSV with Python Part 2
14:22
Day 17 - Read Data Function for CSV File
07:57
Day 18 - Running Python Commands & Arguments in Terminal
19:50
Day 19 - Integrating Part 1
10:39
Day 20 - Integrating Part 2
17:09
–
Days 21 - 24: Web Scraping with Python 3 Python Requests & BeautifulSoup
58:50
Day 21 - Web Scraping with Python 3 Python Requests & BeautifulSoup
14:49
Day 22 - Web Scraping Part 2
15:00
Day 23 - Web Scraping Part 3
10:08
Day 24 - Web Scraping Part 4
18:53
–
Day 25: Web Scraping on Javascript Driven HTML
30:05
Part 1 | Web Scraping on Javascript-Driven HTML using Python
13:47
Part 2 | Web Scraping on Javascript-Driven HTML using Python
16:18
-
Day 26: Get Data with an API
25:28
Part 1 | Get Data with an API
11:10
Part 2 | Get Data with an API
14:18
-
Day 27 - 28: Text Messaging (SMS/MMS) with Python & Twilio
40:46
Day 27 - Sending SMS Messages with Python & Twilio Part 1
07:47
Day 27 - Part 2 - SMS Messages with Python & Twilio
16:39
Day 28 - Twilio Python Client & SMS
16:20
-
Day 29: Twitter API & Python
18:10
Day 29: Twitter API with Python & python-twitter
18:10
-
Day 30: Read Email Inbox using Python & Gmail
33:02
Day 30 - Login with IMAP
04:03
Day 30 - Fetch & Convert Email
10:17
Day 30 - Save Emails Locally
18:42
-
Thank you & Next Steps
02:05
Thank you and Next Steps
02:05
Link to the free course: Here
No comments:
Post a Comment