Course description
In this course we are going to talk about data and data types. Python is a dynamically typed language that means it does not use a compiler. So the data types of variables and expressions won't be known until the code is executed at runtime. We will take a look at the different data types that are supported and the built-in data types of Python. We will also talk about numbers, string and Boolean. Then we’ll move onto a File type, and show how that can be used to iterate over elements within a file as a sequence. Next we’ll cover Lists, Dictionary, and Tuple, which is similar to a List but its contents are immutable. Then we will talk about Set, which is another type of collection, but unlike the others, Set is unordered and all of its elements are unique. And then we'll take a look at a very powerful concept known as comprehensions.
Each LearnNowOnline training course is made up of Modules (typically an hour in length). Within each module there are Topics (typically 15-30 minutes each) and Subtopics (typically 2-5 minutes each). There is a Post Exam for each Module that must be passed with a score of 70% or higher to successfully and fully complete the course.
Prerequisites
This course teaches anyone who is interested in learning the basics of programming computers using Python 3. This course has no programming language pre-requisites and only assumes the basic familiarity with computer usage that virtually everybody has. Anyone with moderate computer end-user experience should be able to take this course.
Meet the expert
Peter Thorsteinson
Peter Thorsteinson has been working for two decades in many areas of Microsoft-based software development technologies, including all the latest languages, frameworks, and tools. He has been involved in several large scale software development projects and has authored and co-authored several books and courses relating to ASP.NET, AJAX, JavaScript, WPF, WCF, WF, ADO.NET, and LINQ. Peter is currently focusing on ASP.NET MVC, jQuery, Task Parallel Library, Windows Azure, and SharePoint Development.
Video Runtime
156 Minutes
Time to complete
450 Minutes
Course Outline
Types
Data Types (24:32)
- Introduction (01:12)
- Built-in Types (00:46)
- Program Defined Types (00:46)
- Demo: Integers (03:28)
- Demo: Imaginary (04:37)
- Demo: Sets (04:42)
- Demo: Data Types – recap (03:05)
- Demo: Data Types – recap2 (05:02)
- Summary (00:49)
NumberTypes (28:28)
- Introduction (00:17)
- Number (07:06)
- Number Operations (03:18)
- Demo: Numerical Data Types (04:55)
- Demo: Fractions (04:57)
- Demo: Math (04:08)
- Demo: Random (03:23)
- Summary (00:21)
More Numbers (13:31)
- Introduction (00:30)
- Demo: Rational Numbers (03:50)
- Demo: Operations (04:26)
- Demo: Bitwise Operations (02:23)
- Demo: Assignment (02:10)
- Summary (00:10)
Strings, Booleans and Files
Strings (19:55)
- Introduction (00:21)
- String (03:47)
- String Operations (06:56)
- String Operations (continued) (02:43)
- Demo: String Operations (05:39)
- Summary (00:26)
More Strings (10:35)
- Introduction (00:26)
- Demo: String Formatting (01:42)
- Demo: Format Specifiers (03:12)
- Demo: Triple Coded (04:58)
- Summary (00:15)
Booleans (06:32)
- Introduction (00:33)
- Boolean (00:08)
- Boolean Operations (01:33)
- Demo: Boolean Operations (03:54)
- Summary (00:21)
Files (07:47)
- Introduction (00:32)
- None (00:28)
- File (00:20)
- Demo: File IO (02:33)
- Demo: File Code (03:43)
- Summary (00:08)
Lists, Tuples, Comprehensions
Lists (15:16)
- Introduction (00:25)
- List (01:25)
- List Operations (03:20)
- Demo: List Operations (02:25)
- Demo: Stack (02:49)
- Demo: Sort (01:35)
- Demo: Queues (02:54)
- Summary (00:22)
Dictionaries (04:23)
- Introduction (00:25)
- Demo: Dictionaries (02:00)
- Demo: Kev Value Pairs (01:39)
- Summary (00:18)
Tuples (06:55)
- Introduction (00:19)
- Tuple (00:35)
- Demo: Tuples (01:07)
- Demo: Immutable (01:15)
- Demo: Single element (01:40)
- Demo: Multi-dimension (01:39)
- Summary (00:18)
Sets (08:37)
- Introduction (00:40)
- Set (00:13)
- Demo: Sets (05:12)
- Demo: super/sub (02:10)
- Summary (00:20)
Comprehensions (10:18)
- Introduction (00:42)
- Comprehensions (00:38)
- Demo: Comprehensions (05:07)
- Demo: Lists (03:25)
- Summary (00:24)
