30 Days of Python | Unlock your Python Potential

9h 22m 38s
English
Paid

Unlock the power of Python—the world's leading programming language for beginners since 2016. Easy to learn for newcomers yet powerful enough for experts, Python's versatility is unmatched.

Why is Python Invaluable?

Several leading companies harness Python in their operations:

  • SpaceX: Launching rockets
  • Pixar: Running animation software
  • Instagram & Pinterest: Managing backend operations via Django

Join us to discover how Python can be molded to fit your needs, whether you're just starting out or looking to refine your programming skills.

Course Overview

The objective is clear: master Python through real-world projects. Over the next 30 days, you'll achieve proficiency in:

  • Data Scraping: Extract data from nearly any website, including those with JavaScript content.
  • Automation: Create Python applications for various automation needs.
  • Communication: Send emails and SMS messages to colleagues or customers.
  • Data Management: Read and write CSV files to manage data in Excel and Apple Numbers.
  • Foundation Knowledge: Grasp the fundamentals of Python to lay the groundwork for advanced projects like web applications.

Requirements to Get Started

Minimal prerequisites are required:

  • Guidance through Python installation and setup.
  • A computer running Mac OS X or higher, Windows 8 or higher, or Linux.

Who Should Enroll?

This course is ideal for:

  • Entrepreneurs and non-technical founders
  • Anyone eager to learn Python
  • Beginners in programming
  • Growth hackers
  • Individuals interested in data/big data analyses via web scraping
  • Those interested in email automation

Key Learning Outcomes

  • Python Basics: Master fundamental programming concepts.
  • Application Development: Build applications using Python.
  • Email Communication: Automate email sending with Python.
  • Web Scraping: Extract data even from dynamic, JavaScript-heavy websites.
  • Data Handling: Efficiently read and parse emails and manage data using CSV files.
  • API Integrations: Capitalize on the Twitter API for tweets and the Yelp API for business data extraction.

About the Author: udemy

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By connecting students all over the world to the best instructors, Udemy is helping individuals reach their goals and pursue their dreams. Udemy is the leading global marketplace for teaching and learning, connecting millions of students to the skills they need to succeed. Udemy helps organizations of all kinds prepare for the ever-evolving future of work. Our curated collection of top-rated business and technical courses gives companies, governments, and nonprofits the power to develop in-house expertise and satisfy employees’ hunger for learning and development.

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#1: Welcome
All Course Lessons (45)
#Lesson TitleDurationAccess
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
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