CF

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

Udemy thumbnail

Udemy is the largest open marketplace for online courses on the internet. Founded in 2010 by Eren Bali, Oktay Caglar, and Gagan Biyani and headquartered in San Francisco, the company went public on the Nasdaq in 2021 under the ticker UDMY. The platform hosts well over two hundred thousand courses across software development, IT and cloud, data science, design, business, marketing, and creative skills, taught by tens of thousands of independent instructors. Roughly seventy million learners use it worldwide, and the corporate arm — Udemy Business — supplies a curated subset of that catalog to enterprise customers.

Because Udemy is a marketplace rather than a single editorial publisher, the catalog is uneven by design. The strongest material lives in the long-form, project-based courses authored by working engineers — full-stack JavaScript, React, Node.js, Python data science, AWS, Docker and Kubernetes, mobile development with Flutter and React Native, and cloud certification preparation. The CourseFlix listing under this source is the slice of that catalog that has been mirrored here for offline-friendly viewing, organized by topic and updated as new releases land. Pricing on Udemy itself swings dramatically with the site's near-permanent sales, which is why the platform is best treated as a deep reference catalog: pick instructors with strong reviews and a track record of updating their material rather than buying on the headline price alone.

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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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Frequently asked questions

What are the prerequisites for enrolling in this Python course?
The course requires minimal prerequisites. It provides guidance on Python installation and setup, making it accessible even for those without prior programming experience. A computer running Mac OS X or higher, Windows 8 or higher, or Linux is necessary to complete the course.
What projects will I work on during this Python course?
Throughout the 30-day course, students will engage in real-world projects such as data scraping from websites, automating tasks with Python applications, sending emails and SMS messages, and managing data through CSV files. These projects are designed to develop proficiency in Python and apply it to practical scenarios.
Who is the target audience for this Python course?
This course is ideal for entrepreneurs, non-technical founders, and anyone eager to learn Python. It's particularly suited for beginners looking to develop a solid foundation in programming and those interested in mastering Python's application in various fields.
What specific tools and platforms are covered in this course?
The course covers several tools and platforms, including Gmail for sending emails, Python's CSV module for data management, BeautifulSoup and Python Requests for web scraping, and Twilio Python Client for sending SMS messages. It also introduces the use of APIs, such as the Twitter API and handling JavaScript-driven HTML.
What topics are not covered in this Python course?
The course focuses on foundational Python skills and practical applications such as automation and data scraping. It does not delve into advanced topics like machine learning, deep learning, or large-scale web development frameworks beyond basic web scraping and email/SMS communication.
How does the depth and scope of this course compare to other Python courses?
This course offers a balanced introduction to Python with 45 lessons, covering fundamentals like strings, loops, conditionals, and classes, as well as practical applications like web scraping, data management, and communication tools. It is designed for beginners, providing a comprehensive overview without going into advanced topics.
What is the expected time commitment for completing this Python course?
The course is structured over 30 days, with 45 lessons in total. While the exact runtime is not specified, students can expect to spend a significant portion of each day engaging with course materials, completing exercises, and working on projects to achieve mastery of the content.