https://www.youtube.com/watch?v=8DvywoWv6fI
Oakland News Now –
Python for Everybody – Full University Python Course
– video made by the YouTube channel with the logo in the video’s upper left hand corner. OaklandNewsNow.com is the original blog post for this type of video-blog content.
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://ift.tt/lQAtGVYRP
? Lecture Slides and Handouts: https://ift.tt/J7etLnSgO
? Free Textbook: https://ift.tt/2vRZwbhxz
? Course Website: https://www.py4e.com/
⭐️ 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.
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Note from Zennie62Media and OaklandNewsNow.com : this video-blog post demonstrates the full and live operation of the latest updated version of an experimental Zennie62Media , Inc. mobile media video-blogging system network that was launched June 2018. This is a major part of Zennie62Media , Inc.’s new and innovative approach to the production of news media. What we call “The Third Wave of Media”. The uploaded video is from a YouTube channel. When the video is “liked” by Zennie62 YouTube, then it is automatically uploaded to and formatted automatically at the Oakland News Now site and Zennie62-created and owned social media pages. The overall objective here, on top of our is smartphone-enabled, real-time, on the scene reporting of news, interviews, observations, and happenings anywhere in the World and within seconds and not hours – is the use of the existing YouTube social graph on any subject in the World. Now, news is reported with a smartphone and also by promoting current content on YouTube: no heavy and expensive cameras or even a laptop are necessary, or having a camera crew to shoot what is already on YouTube. The secondary objective is faster, and very inexpensive media content news production and distribution. We have found there is a disconnect between post length and time to product and revenue generated. With this, the problem is far less, though by no means solved. Zennie62Media is constantly working to improve the system network coding and seeks interested content and media technology partners.