30 Days Of Python | Unlock Your Python Potential

Python is simple enough for beginners, powerful enough for the pros. Use it for IOT, Web Scraping, Big Data, and more.

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

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 RocketsPixar uses Python to run their animation softwareInstagram & 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 automationSend Emails & SMS text messages to your friends our your customersRead & Write CSV, aka comma separated values, files to better store your data locally and work in popular programs like Microsoft Excel and Apple NumbersUnderstand the basics behind the Python programming language so you're ready to build more advanced projects like Web Applications

Overview

Section 1: Welcome

Lecture 1 Welcome

Lecture 2 Getting Help

Lecture 3 YouTube & Suggestions

Section 2: Days 1: Basics

Lecture 4 Setup, Strings, Variables, and Integers

Section 3: Day 2 & 3 | Lists, Dictionaries, Tuples, and Loops

Lecture 5 Day 2 - Lists

Lecture 6 Day 2 (cont) - Dictionaries & Tuples

Lecture 7 Day 3 - Loops: For Loops, and While Loops

Section 4: Day 4: Conditionals

Lecture 8 Day 4: Conditionals

Lecture 9 Day 4 (cont): Using Conditional Expressions

Section 5: Day 5: Functions

Lecture 10 Functions Part 1

Lecture 11 Functions Part 2

Section 6: Day 6: Advanced Strings

Lecture 12 Day 6 - String Substitution

Lecture 13 Day 6 - String Formatting and Substitutions All Together

Section 7: Days 7-9: Classes

Lecture 14 Day 7: Classes

Lecture 15 Day 8 - Classes Part 2

Lecture 16 Day 9: Classes Part 3

Lecture 17 Class Part 4

Section 8: Days 10 - 15: Python CSV, and Email | Do something Real

Lecture 18 Day 10: Setup Python to send Email with Gmail

Lecture 19 Day 11: HTML and Plain Text Emails through Python and Gmail

Lecture 20 Day 12 - Send Formatted Emails to a Set of Users

Lecture 21 Day 13 - Using External Template Files with Context Data in Python

Lecture 22 Day 14 - CSV Files with Python - Read, Write, & Append

Lecture 23 Day 15 - Functions to Dynamically Add Data to CSV with Python

Lecture 24 Day 16 - Edit CSV with Python Part 1

Lecture 25 Day 16 - Edit CSV with Python Part 2

Lecture 26 Day 17 - Read Data Function for CSV File

Lecture 27 Day 18 - Running Python Commands & Arguments in Terminal

Lecture 28 Day 19 - Integrating Part 1

Lecture 29 Day 20 - Integrating Part 2

Section 9: Days 21 - 24: Web Scraping with Python 3 Python Requests & BeautifulSoup

Lecture 30 Day 21 - Web Scraping with Python 3 Python Requests & BeautifulSoup

Lecture 31 Day 22 - Web Scraping Part 2

Lecture 32 Day 23 - Web Scraping Part 3

Lecture 33 Day 24 - Web Scraping Part 4

Section 10: Day 25: Web Scraping on Javascript Driven HTML

Lecture 34 Part 1 | Web Scraping on Javascript-Driven HTML using Python

Lecture 35 Part 2 | Web Scraping on Javascript-Driven HTML using Python

Section 11: Day 26: Get Data with an API

Lecture 36 Part 1 | Get Data with an API

Lecture 37 Part 2 | Get Data with an API

Section 12: Day 27 - 28: Text Messaging (SMS/MMS) with Python & Twilio

Lecture 38 Day 27 - Sending SMS Messages with Python & Twilio Part 1

Lecture 39 Day 27 - Part 2 - SMS Messages with Python & Twilio

Lecture 40 Day 28 - Twilio Python Client & SMS

Section 13: Day 29: Twitter API & Python

Lecture 41 Day 29: Twitter API with Python & python-twitter

Section 14: Day 30: Read Email Inbox using Python & Gmail

Lecture 42 Day 30 - Login with IMAP

Lecture 43 Day 30 - Fetch & Convert Email

Lecture 44 Day 30 - Save Emails Locally

Section 15: Thank you & Next Steps

Lecture 45 Thank you and Next Steps

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