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1–50 of 86

TitreDateDurée
1.1 Why Program01 Oct 201600:12:30
Explore the nature of programming and how programming a computer is different than using a computer.
1.2 Hardware Architecture01 Oct 201600:12:15
In this lecture we learn abut how the computer processes and stores programs. We learn about the CPU, Memory, Storage and Input / Output devices are brought together to write a program.
3.1 If-Then-Else30 Sep 201600:11:06
The most basic conditional structure is the if statement where we either execute or skip a segment of code based on the results of a logical expression (i.e. asking a question).
3.2 More Conditional Statements30 Sep 201600:13:51
In this video we look at multi-branch if statements and the try-except concept where we can indicate a group of statements to be executed if something goes wrong with a block of statements.
Code Walkthrough: Exercise 3.130 Sep 201600:12:06
Code Walkthrough: Exercise 3.1
Code Walkthrough: Exercise 3.230 Sep 201600:09:25
Code Walkthrough: Exercise 3.2
4.1 Using Pre-Defined Functions30 Sep 201600:10:29
We look at how code flows into and out of functions as well has how we pass information into functions and get results returned to us.
4.2 Building our Own Functions30 Sep 201600:12:35
We look at how to build our own functions using parameters and arguments as well as how we return results to the code that is calling our functions.
Code Walkthrough: Exercise 4.630 Sep 201600:10:07
Code Walkthrough: Exercise 4.6
5.1 The Basics of Loops30 Sep 201600:09:58
We look at how we construct a loop so that it runs as long as we want it to run. We learn about iteration variables and exiting loops with the 'break' and 'continue' statements.
5.2 Definite Loops30 Sep 201600:06:51
We learn how to use the 'for' statement in Python to loop through a set of data.
5.3 Patterns for Making Loops30 Sep 201600:08:43
Loops have a beginning, middle, and end. We look ant how we construct a loop to look at a list of items one at a time so we can compute an overall maximum, minimum or average.
1.3 Python as a Language01 Oct 201600:07:48
We look at how writing programs is just another form of communication. Instead of communicating with another person, we are communicating our ideas to a computer.
5.4 Loop Techniques30 Sep 201600:18:47
We continue to look at how to construct loops including how to do something special the first time through the loop. We introduce the idea of 'None' which is a way to indicate that a variable is currently empty.
Worked Exercise: Exercise 5.130 Sep 201600:08:30
Worked Exercise: Exercise 5.1
6.1 Storing Text Data in Strings30 Sep 201600:10:42
We learn how to create string variables and extract portions of the data as well as write simple loops to read through the characters in a string.
6.2 String Operations30 Sep 201600:18:44
We learn how to extract substrings using slicing, and use the string library to perform common data extraction operations with strings.
Worked Example: Exercise 6.530 Sep 201600:08:26
Worked Example: Exercise 6.5
7.1 Reading Files30 Sep 201600:07:54
We look at how text and lines are represented in files, how we open a file and write a loop to read through all the lines in the file.
7.2 Processing Data in Files30 Sep 201600:13:46
We look at patterns for reading and processing the data in files. We learn how to check for nonexistent files, and how we process each line within the file.
Worked Example: Exercise 7.130 Sep 201600:09:43
Worked Example: Exercise 7.1
8.1 Creating and Using Lists29 Sep 201600:10:56
We learn how to put data into lists, take data out of the list and write simple loops to examine the elements of a list.
8.2 Manipulating Lists29 Sep 201600:09:36
We learn about list slicing, list searching, and using pre-defined functions with lists.
1.4 What do we Say to Python?01 Oct 201600:12:45
We look at the basics of the Python language and how we write code in Python to communicate sequential steps, conditional steps and repeated steps.
8.3 Strings and Lists29 Sep 201600:08:02
We learn how to parse strings pull sub-strings out of a string using the split() function.
Worked Exercise: Chapter 829 Sep 201600:11:33
Strings, Files, Lists and the Guardian Pattern.
9.1 Python Dictionaries29 Sep 201600:09:50
We compare and contrast how Python lists and dictionaries are structured internally. How we use position to index lists and use keys to index dictionaries.
9.2 Building Histograms29 Sep 201600:09:26
We look at how we can use dictionaries to count the frequencies of many things at the same time. We learn how the key and value are related in a dictionary and example the get method to retrieve values from a Python dictionary.
9.3 Counting Words in Text29 Sep 201600:11:23
In this segment we bring everything together, reading a file, parsing the lines, and computing the frequencies of the words in the file. This is an important moment that pulls from everything we have learned so far.
Worked Exercise: Dictionaries29 Sep 201600:24:23
Worked Exercise: Dictionaries
10.1 Understanding Tuples29 Sep 201600:09:47
We look at the basic syntax and capabilities of Python tuples. We explore the concept of immutability, and we compare tuples to lists and strings.
10.2 Sorting Data29 Sep 201600:12:19
We look at how we sort lists, dictionaries, and lists of tuples in Python.
Worked Example: Sorting Dictionaries29 Sep 201600:10:05
Worked Example: Sorting Dictionaries
11.1 Introduction to Regular Expressions29 Sep 201600:10:46
We look at the syntax of regular expressions and how to use them to search through text data.
Installing Python 3 on a Macintosh30 Sep 201600:04:22
Installing Python 3 on a Macintosh
11.2 Matching and Extracting Data29 Sep 201600:08:46
In this segment we learn to pull out data from strings after a regular expression has found a match.
11.3 String Parsing with Regular Expressions29 Sep 201600:08:51
We look at how some of the string parsing we have done in earlier chapters can be easily done with regular expressions.
12.1 Network Technology (TCP/IP)29 Sep 201600:07:43
We take a very brief look at how software communicates across the Internet using TCP/IP.
12.2 Hypertext Transport Protocol (HTTP)29 Sep 201600:09:26
In this section we look at the HTTP protocol that is used to move documents between web servers and web browsers.
12.3 Building a Web Browser in Python29 Sep 201600:04:35
We write a simple Python program that connects to a web server and retrieves a web document. It is a very simple web browser.
Worked Example: Sockets29 Sep 201600:06:11
Worked Example: Sockets
12.4 Unicode Characters and Strings29 Sep 201600:11:14
We explore how characters are encoded when they are transported across the network.
12.5 Retrieving Web Pages29 Sep 201600:05:30
We write an even simpler Python program to retrieve a web page using the urllib library in Python.
Worked Example: Using urllib29 Sep 201600:03:39
Worked Example: Using urllib
12.6 Parsing Web Pages29 Sep 201600:06:39
Now we will look at the HypertextMarkup Language (HTML) that we retrieved using Python and extract links from that HTML. We are slowly building a very simple web search engine.
Code Walkthrough: Hello World30 Sep 201600:05:12
Code Walkthrough: Hello World
Worked Example: Parsing HTML29 Sep 201600:09:20
Worked Example: Parsing HTML using the BeautifulSoup library.
13.1 Data on the Web29 Sep 201600:02:48
We look at two different ways to format data for transmission across the network including JavaScript Object Notation (JSON) and eXtended Markup Language (XML).
13.2 eXtensible Markup Language (XML)28 Sep 201600:05:42
We look at how data is represented using the XML format.
Worked Example: XML28 Sep 201600:06:06
Worked Example: XML
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