Explorez tous les épisodes du podcast Python for Everybody (py4e.com)

Plongez dans la liste complète des épisodes de Python for Everybody (py4e.com). Chaque épisode est catalogué accompagné de descriptions détaillées, ce qui facilite la recherche et l'exploration de sujets spécifiques. Suivez tous les épisodes de votre podcast préféré et ne manquez aucun contenu pertinent.

	Titre	Date	Durée
	1.1 Why Program	01 oct. 2016	00:12:30
Explore the nature of programming and how programming a computer is different than using a computer.
	1.2 Hardware Architecture	01 oct. 2016	00:12:15
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.
	1.3 Python as a Language	01 oct. 2016	00:07:48
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.
	1.4 What do we Say to Python?	01 oct. 2016	00:12:45
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.
	Installing Python 3 on a Macintosh	30 sept. 2016	00:04:22
Installing Python 3 on a Macintosh
	Code Walkthrough: Hello World	30 sept. 2016	00:05:12
Code Walkthrough: Hello World
	2.1 Building Blocks of Python	30 sept. 2016	00:09:41
We look at Python's reserved words, how we name and use variables, why we choose meaningful (mnemonic) variable names and how assignment statements function.
	2.2 Expressions	30 sept. 2016	00:19:53
We look at how we use various numerical and string operations to compute new information and store the new values in variables.
	Code Walkthrough: Exercise 2.2	30 sept. 2016	00:06:11
Code Walkthrough: Exercise 2.2
	Code Walkthrough: Exercise 2.3	30 sept. 2016	00:07:48
Code Walkthrough: Exercise 2.3
	3.1 If-Then-Else	30 sept. 2016	00:11:06
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 Statements	30 sept. 2016	00:13:51
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 3.1	30 sept. 2016	00:12:06
Code Walkthrough: Exercise 3.1
	Code Walkthrough: Exercise 3.2	30 sept. 2016	00:09:25
Code Walkthrough: Exercise 3.2
	4.1 Using Pre-Defined Functions	30 sept. 2016	00:10:29
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 Functions	30 sept. 2016	00:12:35
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 4.6	30 sept. 2016	00:10:07
Code Walkthrough: Exercise 4.6
	5.1 The Basics of Loops	30 sept. 2016	00:09:58
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 Loops	30 sept. 2016	00:06:51
We learn how to use the 'for' statement in Python to loop through a set of data.
	5.3 Patterns for Making Loops	30 sept. 2016	00:08:43
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.
	5.4 Loop Techniques	30 sept. 2016	00:18:47
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 5.1	30 sept. 2016	00:08:30
Worked Exercise: Exercise 5.1
	6.1 Storing Text Data in Strings	30 sept. 2016	00:10:42
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 Operations	30 sept. 2016	00:18:44
We learn how to extract substrings using slicing, and use the string library to perform common data extraction operations with strings.
	Worked Example: Exercise 6.5	30 sept. 2016	00:08:26
Worked Example: Exercise 6.5
	7.1 Reading Files	30 sept. 2016	00:07:54
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 Files	30 sept. 2016	00:13:46
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 7.1	30 sept. 2016	00:09:43
Worked Example: Exercise 7.1
	8.1 Creating and Using Lists	29 sept. 2016	00:10:56
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 Lists	29 sept. 2016	00:09:36
We learn about list slicing, list searching, and using pre-defined functions with lists.
	8.3 Strings and Lists	29 sept. 2016	00:08:02
We learn how to parse strings pull sub-strings out of a string using the split() function.
	Worked Exercise: Chapter 8	29 sept. 2016	00:11:33
Strings, Files, Lists and the Guardian Pattern.
	9.1 Python Dictionaries	29 sept. 2016	00:09:50
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 Histograms	29 sept. 2016	00:09:26
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 Text	29 sept. 2016	00:11:23
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: Dictionaries	29 sept. 2016	00:24:23
Worked Exercise: Dictionaries
	10.1 Understanding Tuples	29 sept. 2016	00:09:47
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 Data	29 sept. 2016	00:12:19
We look at how we sort lists, dictionaries, and lists of tuples in Python.
	Worked Example: Sorting Dictionaries	29 sept. 2016	00:10:05
Worked Example: Sorting Dictionaries
	11.1 Introduction to Regular Expressions	29 sept. 2016	00:10:46
We look at the syntax of regular expressions and how to use them to search through text data.
	11.2 Matching and Extracting Data	29 sept. 2016	00:08:46
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 Expressions	29 sept. 2016	00:08:51
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 sept. 2016	00:07:43
We take a very brief look at how software communicates across the Internet using TCP/IP.
	12.2 Hypertext Transport Protocol (HTTP)	29 sept. 2016	00:09:26
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 Python	29 sept. 2016	00:04:35
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: Sockets	29 sept. 2016	00:06:11
Worked Example: Sockets
	12.4 Unicode Characters and Strings	29 sept. 2016	00:11:14
We explore how characters are encoded when they are transported across the network.
	12.5 Retrieving Web Pages	29 sept. 2016	00:05:30
We write an even simpler Python program to retrieve a web page using the urllib library in Python.
	Worked Example: Using urllib	29 sept. 2016	00:03:39
Worked Example: Using urllib
	12.6 Parsing Web Pages	29 sept. 2016	00:06:39
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.

À propos Méthodologie Contact Me soutenir Politique de confidentialité Mentions légales