Python for Everybody (Video/PY4E)

By Dr. Charles Russell Severance

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Category: Education

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Subscribers: 88
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Episodes: 171

Description

These are the video lectures to supplement the textbook 'Python for Everybody: Exploring Information' and its associated web site www.py4e.com

Episode Date
1.1 Why Program
Oct 01, 2016
1.2 Hardware Architecture
Oct 01, 2016
1.3 Python as a Language
Oct 01, 2016
1.4 What do we Say to Python?
Oct 01, 2016
Installing Python 3 on a Macintosh
Sep 30, 2016
Code Walkthrough: Hello World
Sep 30, 2016
2.1 Building Blocks of Python
Sep 30, 2016
2.2 Expressions
Sep 30, 2016
Code Walkthrough: Exercise 2.2
Sep 30, 2016
Code Walkthrough: Exercise 2.3
Sep 30, 2016
3.1 If-Then-Else
Sep 30, 2016
3.2 More Conditional Statements
Sep 30, 2016
Code Walkthrough: Exercise 3.1
Sep 30, 2016
Code Walkthrough: Exercise 3.2
Sep 30, 2016
4.1 Using Pre-Defined Functions
Sep 30, 2016
4.2 Building our Own Functions
Sep 30, 2016
Code Walkthrough: Exercise 4.6
Sep 30, 2016
5.1 The Basics of Loops
Sep 30, 2016
5.2 Definite Loops
Sep 30, 2016
5.3 Patterns for Making Loops
Sep 30, 2016
5.4 Loop Techniques
Sep 30, 2016
Worked Exercise: Exercise 5.1
Sep 30, 2016
6.1 Storing Text Data in Strings
Sep 30, 2016
6.2 String Operations
Sep 30, 2016
Worked Example: Exercise 6.5
Sep 30, 2016
7.1 Reading Files
Sep 30, 2016
7.2 Processing Data in Files
Sep 30, 2016
Worked Example: Exercise 7.1
Sep 30, 2016
8.1 Creating and Using Lists
Sep 29, 2016
8.2 Manipulating Lists
Sep 29, 2016
8.3 Strings and Lists
Sep 29, 2016
Worked Exercise: Chapter 8
Sep 29, 2016
9.1 Python Dictionaries
Sep 29, 2016
9.2 Building Histograms
Sep 29, 2016
9.3 Counting Words in Text
Sep 29, 2016
Worked Exercise: Dictionaries
Sep 29, 2016
10.1 Understanding Tuples
Sep 29, 2016
Worked Example: Sorting Dictionaries
Sep 29, 2016
11.1 Introduction to Regular Expressions
Sep 29, 2016
11.2 Matching and Extracting Data
Sep 29, 2016
11.3 String Parsing with Regular Expressions
Sep 29, 2016
12.1 Network Technology (TCP/IP)
Sep 29, 2016
12.2 Hypertext Transport Protocol (HTTP)
Sep 29, 2016
12.3 Building a Web Browser in Python
Sep 29, 2016
Worked Example: Sockets
Sep 29, 2016
12.4 Unicode Characters and Strings
Sep 29, 2016
12.5 Retrieving Web Pages
Sep 29, 2016
Worked Example: Using urllib
Sep 29, 2016
12.6 Parsing Web Pages
Sep 29, 2016
Worked Example: Parsing HTML
Sep 29, 2016
13.1 Data on the Web
Sep 29, 2016
13.2 eXtensible Markup Language (XML)
Sep 28, 2016
Worked Example: XML
Sep 28, 2016
13.3 XML Schema
Sep 28, 2016
13.4 JavaScript Object Notation
Sep 28, 2016
Worked Example: JSON
Sep 28, 2016
13.5 Service Oriented Approach (SOA)
Sep 28, 2016
13.6 Using Application Programming Interfaces
Sep 28, 2016
Worked Example: GeoJSON
Sep 28, 2016
13.7 Securing API Requests
Sep 28, 2016
Worked Example: Twitter and OAuth
Sep 28, 2016
14.1 Object Oriented Definitions and Terminology
Sep 28, 2016
14.2 Our First Class and Object
Sep 28, 2016
14.3 Object Life Cycle
Sep 28, 2016
14.4 Object Inheritance
Sep 28, 2016
15.1 Relational Databases
Sep 28, 2016
15.2 Single Table SQL
Sep 28, 2016
Worked Example: Storing Twitter Data
Sep 28, 2016
15.3 Building a Relational Model
Sep 28, 2016
15.4 Database Key Types
Sep 28, 2016
15.5 Representing Relationships in Database Tables
Sep 28, 2016
15.6 Multi-Table Retrieval using JOIN
Sep 28, 2016
Worked Example: Multiple Tracks
Sep 28, 2016
15.7 Many-to-Many Relationships
Sep 28, 2016
Worked Example: Many-to-Many
Sep 28, 2016
16.1 Visualizing Map Data
Sep 27, 2016
Worked Example: Retrieving Geocoded Data
Sep 27, 2016
16.2 Building a Web Search Engine
Sep 27, 2016
Worked Example: A Web Crawler
Sep 27, 2016
Worked Example: Running PageRank
Sep 27, 2016
Worked Example: Visualizing PageRank
Sep 27, 2016
16.3 Processing Mail Data
Sep 27, 2016
Worked Example: Retrieving Email Data
Sep 27, 2016
Worked Example: Cleaning and Modelling Mail Data
Sep 27, 2016
Worked Example: Visualizing Mail Data
Sep 27, 2016