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Discover Python, Part 1: Python's built-in numerical types
The flexible nature of the Python programming language supports multiple programming philosophies, including procedural, object-oriented, and functional. But most importantly, programming in Python is fun. The language supports rather than hinders the development process. This article, the first in a series on Python programming, introduces Python and its built-in numerical types.
Articles 03 May 2005
Discover Python, Part 4: Explore the Python type hierarchy
Python provides a number of useful features, of which the list class is one of the most important. This article introduces the list class and demonstrates some of the many ways in which you can use it to simplify difficult programming tasks.
Articles 30 Aug 2005
Discover Python, Part 3: Explore the Python type hierarchy
Unlike many other programming languages, the Python language does not include a special data type to handle a single character, such as "a" or "z." In contrast, Python takes a different approach: It uses a class designed especially for holding sequences of characters. This article introduces the string class and demonstrates different ways in which you can use a string within Python.
Articles 02 Aug 2005
Discover Python, Part 7: Explore the Python type hierarchy
This article returns to the exploration of the Python type hierarchy and introduces the Python dictionary container type. Unlike the Python tuple, string, and list container types discussed in previous articles, the dictionary type is an unordered container that relies on a key-to-value mapping. As a result, items in a dictionary are accessed by a key value and not by their location within a sequence. The unique features of the dictionary type may seem unusual, but they provide a great deal of power when used properly.
Articles 06 Dec 2005
Discover Python, Part 6: Programming in Python
This article explores the Python for loop. The for loop is used to iterate through the items in a Python collection, including the Python tuple, string, and list container types discussed in previous "Discover Python" articles. The for loop can also be used to access elements from a container type by using the range (or xrange) method. In addition, you can use the range method to execute a group of statements a specific number of times within a for loop.
Articles 25 Oct 2005
Discover Python, Part 5: Programming in Python
This article begins to demonstrate how to do things in Python by focusing on flow control, which is one of the simplest methods for writing programs. In this programming model, data is manipulated -- perhaps from a user interface, sensors, or a file; depending on the value of the data or resulting expressions, different actions are taken. Python provides several flow control mechanisms. This article discusses the if statement, and the while and for loops.
Articles 20 Sep 2005
Discover Python, Part 2: Explore the Python type hierarchy
The Python programming language is a simple yet powerful language. This article explores the object nature of the language, initially for the built-in simple types. The Python tuple class is also introduced and used to demonstrate the concept of a container type.
Articles 31 May 2005
Deploying Django applications to a production server
Django is a Python-based open source Web application framework that focuses on making the process of creating database-driven Web sites and Web applications easier. Getting started with developing Django applications is simple, as a development Web server is included with the framework. However, this server is not suitable for use in a production environment, so further steps are required to deploy your Django application to the Web. In this article, you will learn about the Django framework and how to install it on your local machine. Discover how a Django application is made and about the automatic administration interface created for your application. You will then find out how to deploy your Django application to the Web on a server running Apache and mod_python. Finally, learn how Django applications can and should be scaled as your application's requirements grow.
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Articles 07 Apr 2009
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