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/
⭐️ 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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What happened at the 4:20 mark where you jump to diagnosing a program? I've been waiting for a discussion on IDEs but nothing so far yet you seem to jump directly into running a program. Did I miss something?
when people like u exist , we still have hopes in humanity
1:52:20
49:47
Sherman Gail Sherman sorry her married name is duns
Hello good morning 🌞
Do you remember my aunty Gail Clare duns who studied in Ohio as the first student exchange student from Manjimup? She's a programmer?
3:31:20
I knew Bill Murray was actually a programmer! This video proves it.
I really appreciate for your time,many thanks indeed.
I am very new to this so I have some pretty simple questions that keep confusing me. Is terminal the same thing as "command line" on windows? If so, when I type 'dir' I am unable to pull up my folders.
Hehe, you just stated that "the computer just doesn't know the difference between what we mean and what we say, so we have to be very precise", and go on to say "so we have to get this right, we have get these little bits of text exactly the way they are, computer will blow up with syntax errors… "
Users with no knowledge about computers will think "dang, I better get this right, or the computer will blow up".
Not only computers need precise and non-ambiguous information 🙂
3 hours in and I still confused. I don't think this is for everyone..
print("Hello World (^-^)/")
print("You can do it!")
very good explain. thank for your best effort.
yoyoyyo, like the guy, hope he's still riding bikes, I finished his coursera course!!!
Took this class and finished. It was great. Charles Severance is the best out there. I am now taking a Go class. I like that Go has simple syntax like Python, but is compiled, so is faster.