Based on this YouTube video's total view count of 7.78M views and industry-standard rates, the estimated total earning is $5.45K - $15.5K through ad revenue. Historical data is not yet available to calculate daily, weekly, or monthly averages.

Explore Python for Everybody - Full University Python Course with 7,786,218 views, 198,199 likes, and 5,122 comments. Experience the impact of this video content that has captured audience attention.

This Python 3 tutorial course aims to teach everyone the basics of programming computers using Python. The course has no pre-requisites and avoids all but the simplest mathematics. 🔗 Sample Code Zip: https://www.py4e.com/code3.zip 🔗 Lecture Slides and Handouts: https://www.py4e.com/lectures3/ 🔗 Free Textbook: https://www.py4e.com/book.php 🔗 Course Website: https://www.py4e.com/ ❤️ Try interactive Python courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Python (Made possible by a grant from our friends at Scrimba) ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Why Program? ⌨️ (0:12:21) Why Program? - Hardware Architecture ⌨️ (0:24:24) Python 3 Windows Installation ⌨️ (0:32:34) Python 3 Mac Installation ⌨️ (0:36:41) Why Program? - Python as a Language ⌨️ (0:44:17) Why Program? - What do we say? ⌨️ (0:56:55) Variables, Expressions, and Statements ⌨️ (1:06:20) Variables, Expressions, and Statements - Expressions ⌨️ (1:26:00) Conditional Execution ⌨️ (1:39:13) Conditional Execution - More Conditional Structures ⌨️ (1:52:48) Functions ⌨️ (2:03:02) Functions - Functions of our own ⌨️ (2:15:21) Loops and Iteration ⌨️ (2:25:04) Loops and Iteration - Definite Loops ⌨️ (2:31:40) Loops and Iteration - Loop Idioms ⌨️ (2:40:07) Loops and Iteration - More Loop Patterns ⌨️ (2:58:39) Strings ⌨️ (3:09:06) Strings - More String Operations ⌨️ (3:27:33) Reading Files ⌨️ (3:35:12) Reading Files - Reading Files in Python ⌨️ (3:48:42) Python Lists ⌨️ (3:59:27) Python Lists - Loop Operations ⌨️ (4:08:52) Python Lists - Strings vs. Lists ⌨️ (4:16:42) Python Lists - Strings, Files, Lists & the Guardian Pattern ⌨️ (4:28:44) Dictionaries ⌨️ (4:36:32) Dictionaries - Counting ⌨️ (4:45:43) Dictionaries - Counting Words in Text ⌨️ (4:58:21) Dictionaries - Counting Word Frequency Using a Dictionary ⌨️ (5:22:46) Tuples ⌨️ (5:32:18) Tuples - Sorting ⌨️ (5:44:26) Tuples - Sorting a Dictionary Using Tuples ⌨️ (5:54:56) Regular Expressions ⌨️ (6:05:21) Regular Expressions - From Matching to Extracting ⌨️ (6:13:47) Regular Expressions - String Parsing ⌨️ (6:22:17) Networked Programs ⌨️ (6:29:45) Networked Programs - Application Protocols ⌨️ (6:38:56) Networked Programs - Write a Web Browser ⌨️ (6:43:10) Networked Programs - Code Example: socket1.py ⌨️ (6:48:58) Networked Programs - Characters and Strings ⌨️ (6:59:57) Networked Programs - urllib ⌨️ (7:05:10) Networked Programs - Code Example: urllib1.py, urlwords.py ⌨️ (7:08:25) Networked Programs - Parsing HTML ⌨️ (7:14:48) Networked Programs - Code Example: urllinks.py ⌨️ (7:23:43) Using Web Services ⌨️ (7:26:35) Using Web Services - XML ⌨️ (7:32:02) Using Web Services - Code Example: xml1.py, xml2.py ⌨️ (7:37:40) Using Web Services - XML Schema ⌨️ (7:51:32) Using Web Services - JavaScipt Notation ⌨️ (7:57:45) Using Web Services - Code Example: json1.py, json2.py ⌨️ (8:03:08) Using Web Services - Service Oriented Approach ⌨️ (8:04:44) Using Web Services - Web Services ⌨️ (8:11:33) Using Web Services - Code Example: geojson.py ⌨️ (8:18:49) Using Web Services - API Security & Rate Limiting ⌨️ (8:28:45) Using Web Services - Code Example: twitter1.py, twitter2.py ⌨️ (8:48:01) Python Objects ⌨️ (8:58:28) Python Objects - Sample Code ⌨️ (9:06:50) Python Objects - Object Lifecycle ⌨️ (9:13:19) Python Objects - Inheritance ⌨️ (9:20:44) Databases ⌨️ (9:35:55) Databases - SQLite Browser ⌨️ (9:45:40) Databases - Code Sample: emaildb.py ⌨️ (9:58:55) Databases - Code Sample: twspider.py ⌨️ (10:08:06) Databases - Database Design ⌨️ (10:16:29) Databases - Representing Relationships ⌨️ (10:20:37) Databases - Relationship Building ⌨️ (10:33:05) Databases - Join Operation ⌨️ (10:43:13) Databases - Code Sample: tracks.py ⌨️ (10:57:45) Databases - Many-to-Many Relationships ⌨️ (11:09:37) Databases - Code Sample: roster.py ⌨️ (11:20:40) Databases - Code Sample: twspider.py ⌨️ (11:20:40) Data Visualization ⌨️ (11:48:18) Data Visualization - Code Sample: Geodata ⌨️ (12:01:05) Data Visualization - Page Rank ⌨️ (12:12:14) Data Visualization - Code Sample: Pagerank Spidering ⌨️ (12:29:12) Data Visualization - Code Sample: Pagerank Computation ⌨️ (12:44:17) Data Visualization - Code Sample: Pagerank Visualization ⌨️ (12:44:17) Data Visualization - Mailing List Crawl ⌨️ (12:57:08) Data Visualization - Code Sample: Gmane Data Retrieval ⌨️ (13:13:42) Data Visualization - Code Sample: Gmane Data Modeling ⌨️ (13:26:04) Data Visualization - Code Sample: Gmane Data Visualization This course was created by Dr. Charles Severance (a.k.a. Dr. Chuck). He is a Clinical Professor at the University of Michigan School of Information, where he teaches various technology-oriented courses including programming, database design, and Web development. "Python for Everybody" by Dr. Chuck Severance and the University of Michigan is licensed under CC BY. -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://medium.freecodecamp.org

With SocialCounts.org’s view counter, track your YouTube video’s live view count and YouTube likes count in real time with fast, reliable updates.

Watch every YouTube video live view count rise with our real-time YouTube views tracker—built for accuracy and minimal delay.

Follow YouTube real time views as they happen, using our dedicated view counter for YouTube videos.

Get up-to-date live view count on YouTube and see real-time growth with SocialCounts.org’s smart tracking tools.