Programming - Help with screen scraping with Python : Python - Pentadactyl. Programming - cmheisel/pywatch - GitHub - Pentadactyl. Start - Why Eiffel Might Be Worth a Second Look || kuro5hin.org - Pentadactyl. The Right Tool For the Job Let's get this out of the way at the start: while Eiffel is worth a second look, it does depend on what you're looking for in a language. Eiffel fits in nicely as an alternative to Java or C++ for developing large applications.
If you're leaving Java for more dynamic languages like Ruby then Eiffel isn't going to be for you - you can probably quit reading here. On the other hand if you're using Java for large scale projects and appreciate the discipline it imposes, then Eiffel is definitely worth more than just a glance. Eiffel was designed with a pragmatic eye toward the development and maintenance of large scale software systems, and is remarkably good at it.
What is Eiffel? Eiffel is an Object Oriented language, akin to Java - If you know Java or C++ learning Eiffel is utterly straightforward. Eiffel is Now GPL Software Aside from being free to use, making EiffelStudio GPL has also pushed development along. Eiffel is Fast How simple is SCOOP?
Books to read. Javascript. Start - Alice Manual - Constraints - Pentadactyl. ________ Introduction ________________________________________________ Constraint-based problem solving is a technique for solving hard combinatorial problems that can be stated as variables ranging over a finite domain of non-negative integers, or sets thereof. Problems in this class range from puzzles to real world applications as diverse as scheduling, ware house allocation, configuration and placement. The two basic techniques of constraint programming are constraint propagation and constraint distribution. Constraint propagation is an efficient inference mechanism obtained with concurrent propagators accumulating information in a constraint store. Constraint distribution splits a problem into complementary cases once constraint propagation cannot advance further.
By iterating propagation and distribution, propagation will eventually determine the solutions of a problem. Constraint distribution can easily lead to an exponential growth of the number of subproblems to be considered. Start - Design by contract - Wikipedia, the free encyclopedia - Pentadactyl. Approach for designing software Design by contract (DbC), also known as contract programming, programming by contract and design-by-contract programming, is an approach for designing software. The DbC approach assumes all client components that invoke an operation on a server component will meet the preconditions specified as required for that operation.
Where this assumption is considered too risky (as in multi-channel or distributed computing), the inverse approach is taken, meaning that the server component tests that all relevant preconditions hold true (before, or while, processing the client component's request) and replies with a suitable error message if not. Design by contract has its roots in work on formal verification, formal specification and Hoare logic.
The original contributions include: The central idea of DbC is a metaphor on how elements of a software system collaborate with each other on the basis of mutual obligations and benefits. What does the contract expect? [edit] Start - Aspect-oriented programming - Wikipedia, the free encyclopedia - Pentadactyl. Programming paradigm AOP includes programming methods and tools that support the modularization of concerns at the level of the source code, while aspect-oriented software development refers to a whole engineering discipline. AOP has several direct antecedents A1 and A2:[1] reflection and metaobject protocols, subject-oriented programming, Composition Filters, and Adaptive Programming.[2] Gregor Kiczales and colleagues at Xerox PARC developed the explicit concept of AOP and followed this with the AspectJ AOP extension to Java.
IBM's research team pursued a tool approach over a language design approach and in 2001 proposed Hyper/J and the Concern Manipulation Environment, which have not seen wide use. The examples in this article use AspectJ. The Microsoft Transaction Server is considered to be the first major application of AOP followed by Enterprise JavaBeans.[3][4] Motivation and basic concepts [edit] A version with all those new concerns might look like this: When the advice can run. Advice. Start - Teach Yourself Programming in Ten Years - Pentadactyl.
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